circuitpython/py/gc.c

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/*
* This file is part of the MicroPython project, http://micropython.org/
*
* The MIT License (MIT)
*
* Copyright (c) 2013, 2014 Damien P. George
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include <assert.h>
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#include <stdio.h>
#include <string.h>
#include "py/gc.h"
#include "py/runtime.h"
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#include "supervisor/shared/safe_mode.h"
#if MICROPY_ENABLE_GC
#if MICROPY_DEBUG_VERBOSE // print debugging info
#define DEBUG_PRINT (1)
#define DEBUG_printf DEBUG_printf
#else // don't print debugging info
#define DEBUG_PRINT (0)
#define DEBUG_printf(...) (void)0
#endif
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
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// Uncomment this if you want to use a debugger to capture state at every allocation and free.
// #define LOG_HEAP_ACTIVITY 1
// make this 1 to dump the heap each time it changes
#define EXTENSIVE_HEAP_PROFILING (0)
// make this 1 to zero out swept memory to more eagerly
// detect untraced object still in use
#define CLEAR_ON_SWEEP (0)
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// ATB = allocation table byte
// 0b00 = FREE -- free block
// 0b01 = HEAD -- head of a chain of blocks
// 0b10 = TAIL -- in the tail of a chain of blocks
// 0b11 = MARK -- marked head block
#define AT_FREE (0)
#define AT_HEAD (1)
#define AT_TAIL (2)
#define AT_MARK (3)
#define BLOCKS_PER_ATB (4)
#define BLOCK_SHIFT(block) (2 * ((block) & (BLOCKS_PER_ATB - 1)))
#define ATB_GET_KIND(block) ((MP_STATE_MEM(gc_alloc_table_start)[(block) / BLOCKS_PER_ATB] >> BLOCK_SHIFT(block)) & 3)
#define ATB_ANY_TO_FREE(block) do { MP_STATE_MEM(gc_alloc_table_start)[(block) / BLOCKS_PER_ATB] &= (~(AT_MARK << BLOCK_SHIFT(block))); } while (0)
#define ATB_FREE_TO_HEAD(block) do { MP_STATE_MEM(gc_alloc_table_start)[(block) / BLOCKS_PER_ATB] |= (AT_HEAD << BLOCK_SHIFT(block)); } while (0)
#define ATB_FREE_TO_TAIL(block) do { MP_STATE_MEM(gc_alloc_table_start)[(block) / BLOCKS_PER_ATB] |= (AT_TAIL << BLOCK_SHIFT(block)); } while (0)
#define ATB_HEAD_TO_MARK(block) do { MP_STATE_MEM(gc_alloc_table_start)[(block) / BLOCKS_PER_ATB] |= (AT_MARK << BLOCK_SHIFT(block)); } while (0)
#define ATB_MARK_TO_HEAD(block) do { MP_STATE_MEM(gc_alloc_table_start)[(block) / BLOCKS_PER_ATB] &= (~(AT_TAIL << BLOCK_SHIFT(block))); } while (0)
#define BLOCK_FROM_PTR(ptr) (((byte*)(ptr) - MP_STATE_MEM(gc_pool_start)) / BYTES_PER_BLOCK)
#define PTR_FROM_BLOCK(block) (((block) * BYTES_PER_BLOCK + (uintptr_t)MP_STATE_MEM(gc_pool_start)))
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#define ATB_FROM_BLOCK(bl) ((bl) / BLOCKS_PER_ATB)
#if MICROPY_ENABLE_FINALISER
// FTB = finaliser table byte
// if set, then the corresponding block may have a finaliser
#define BLOCKS_PER_FTB (8)
#define FTB_GET(block) ((MP_STATE_MEM(gc_finaliser_table_start)[(block) / BLOCKS_PER_FTB] >> ((block) & 7)) & 1)
#define FTB_SET(block) do { MP_STATE_MEM(gc_finaliser_table_start)[(block) / BLOCKS_PER_FTB] |= (1 << ((block) & 7)); } while (0)
#define FTB_CLEAR(block) do { MP_STATE_MEM(gc_finaliser_table_start)[(block) / BLOCKS_PER_FTB] &= (~(1 << ((block) & 7))); } while (0)
#endif
#if MICROPY_PY_THREAD && !MICROPY_PY_THREAD_GIL
#define GC_ENTER() mp_thread_mutex_lock(&MP_STATE_MEM(gc_mutex), 1)
#define GC_EXIT() mp_thread_mutex_unlock(&MP_STATE_MEM(gc_mutex))
#else
#define GC_ENTER()
#define GC_EXIT()
#endif
#ifdef LOG_HEAP_ACTIVITY
volatile uint32_t change_me;
#pragma GCC push_options
#pragma GCC optimize ("O0")
void __attribute__ ((noinline)) gc_log_change(uint32_t start_block, uint32_t length) {
change_me += start_block;
change_me += length; // Break on this line.
}
#pragma GCC pop_options
#endif
// TODO waste less memory; currently requires that all entries in alloc_table have a corresponding block in pool
void gc_init(void *start, void *end) {
// align end pointer on block boundary
end = (void*)((uintptr_t)end & (~(BYTES_PER_BLOCK - 1)));
DEBUG_printf("Initializing GC heap: %p..%p = " UINT_FMT " bytes\n", start, end, (byte*)end - (byte*)start);
// calculate parameters for GC (T=total, A=alloc table, F=finaliser table, P=pool; all in bytes):
// T = A + F + P
// F = A * BLOCKS_PER_ATB / BLOCKS_PER_FTB
// P = A * BLOCKS_PER_ATB * BYTES_PER_BLOCK
// => T = A * (1 + BLOCKS_PER_ATB / BLOCKS_PER_FTB + BLOCKS_PER_ATB * BYTES_PER_BLOCK)
size_t total_byte_len = (byte*)end - (byte*)start;
#if MICROPY_ENABLE_FINALISER
MP_STATE_MEM(gc_alloc_table_byte_len) = total_byte_len * BITS_PER_BYTE / (BITS_PER_BYTE + BITS_PER_BYTE * BLOCKS_PER_ATB / BLOCKS_PER_FTB + BITS_PER_BYTE * BLOCKS_PER_ATB * BYTES_PER_BLOCK);
#else
MP_STATE_MEM(gc_alloc_table_byte_len) = total_byte_len / (1 + BITS_PER_BYTE / 2 * BYTES_PER_BLOCK);
#endif
MP_STATE_MEM(gc_alloc_table_start) = (byte*)start;
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#if MICROPY_ENABLE_FINALISER
size_t gc_finaliser_table_byte_len = (MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB + BLOCKS_PER_FTB - 1) / BLOCKS_PER_FTB;
MP_STATE_MEM(gc_finaliser_table_start) = MP_STATE_MEM(gc_alloc_table_start) + MP_STATE_MEM(gc_alloc_table_byte_len);
#endif
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size_t gc_pool_block_len = MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB;
MP_STATE_MEM(gc_pool_start) = (byte*)end - gc_pool_block_len * BYTES_PER_BLOCK;
MP_STATE_MEM(gc_pool_end) = end;
#if MICROPY_ENABLE_FINALISER
assert(MP_STATE_MEM(gc_pool_start) >= MP_STATE_MEM(gc_finaliser_table_start) + gc_finaliser_table_byte_len);
#endif
// clear ATBs
memset(MP_STATE_MEM(gc_alloc_table_start), 0, MP_STATE_MEM(gc_alloc_table_byte_len));
#if MICROPY_ENABLE_FINALISER
// clear FTBs
memset(MP_STATE_MEM(gc_finaliser_table_start), 0, gc_finaliser_table_byte_len);
#endif
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Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
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// Set first free ATB index to the start of the heap.
MP_STATE_MEM(gc_first_free_atb_index) = 0;
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
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// Set last free ATB index to the end of the heap.
MP_STATE_MEM(gc_last_free_atb_index) = MP_STATE_MEM(gc_alloc_table_byte_len) - 1;
// Set the lowest long lived ptr to the end of the heap to start. This will be lowered as long
// lived objects are allocated.
MP_STATE_MEM(gc_lowest_long_lived_ptr) = (void*) PTR_FROM_BLOCK(MP_STATE_MEM(gc_alloc_table_byte_len * BLOCKS_PER_ATB));
// unlock the GC
MP_STATE_MEM(gc_lock_depth) = 0;
// allow auto collection
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
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MP_STATE_MEM(gc_auto_collect_enabled) = true;
py/gc: Implement GC running by allocation threshold. Currently, MicroPython runs GC when it could not allocate a block of memory, which happens when heap is exhausted. However, that policy can't work well with "inifinity" heaps, e.g. backed by a virtual memory - there will be a lot of swap thrashing long before VM will be exhausted. Instead, in such cases "allocation threshold" policy is used: a GC is run after some number of allocations have been made. Details vary, for example, number or total amount of allocations can be used, threshold may be self-adjusting based on GC outcome, etc. This change implements a simple variant of such policy for MicroPython. Amount of allocated memory so far is used for threshold, to make it useful to typical finite-size, and small, heaps as used with MicroPython ports. And such GC policy is indeed useful for such types of heaps too, as it allows to better control fragmentation. For example, if a threshold is set to half size of heap, then for an application which usually makes big number of small allocations, that will (try to) keep half of heap memory in a nice defragmented state for an occasional large allocation. For an application which doesn't exhibit such behavior, there won't be any visible effects, except for GC running more frequently, which however may affect performance. To address this, the GC threshold is configurable, and by default is off so far. It's configured with gc.threshold(amount_in_bytes) call (can be queries without an argument).
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#if MICROPY_GC_ALLOC_THRESHOLD
// by default, maxuint for gc threshold, effectively turning gc-by-threshold off
MP_STATE_MEM(gc_alloc_threshold) = (size_t)-1;
MP_STATE_MEM(gc_alloc_amount) = 0;
#endif
#if MICROPY_PY_THREAD
mp_thread_mutex_init(&MP_STATE_MEM(gc_mutex));
#endif
MP_STATE_MEM(permanent_pointers) = NULL;
DEBUG_printf("GC layout:\n");
DEBUG_printf(" alloc table at %p, length " UINT_FMT " bytes, " UINT_FMT " blocks\n", MP_STATE_MEM(gc_alloc_table_start), MP_STATE_MEM(gc_alloc_table_byte_len), MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB);
#if MICROPY_ENABLE_FINALISER
DEBUG_printf(" finaliser table at %p, length " UINT_FMT " bytes, " UINT_FMT " blocks\n", MP_STATE_MEM(gc_finaliser_table_start), gc_finaliser_table_byte_len, gc_finaliser_table_byte_len * BLOCKS_PER_FTB);
#endif
DEBUG_printf(" pool at %p, length " UINT_FMT " bytes, " UINT_FMT " blocks\n", MP_STATE_MEM(gc_pool_start), gc_pool_block_len * BYTES_PER_BLOCK, gc_pool_block_len);
}
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void gc_deinit(void) {
// Run any finalizers before we stop using the heap.
gc_sweep_all();
MP_STATE_MEM(gc_pool_start) = 0;
}
void gc_lock(void) {
GC_ENTER();
MP_STATE_MEM(gc_lock_depth)++;
GC_EXIT();
}
void gc_unlock(void) {
GC_ENTER();
MP_STATE_MEM(gc_lock_depth)--;
GC_EXIT();
}
bool gc_is_locked(void) {
return MP_STATE_MEM(gc_lock_depth) != 0;
}
#ifndef TRACE_MARK
#if DEBUG_PRINT
#define TRACE_MARK(block, ptr) DEBUG_printf("gc_mark(%p)\n", ptr)
#else
#define TRACE_MARK(block, ptr)
#endif
#endif
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// Take the given block as the topmost block on the stack. Check all it's
// children: mark the unmarked child blocks and put those newly marked
// blocks on the stack. When all children have been checked, pop off the
// topmost block on the stack and repeat with that one.
STATIC void gc_mark_subtree(size_t block) {
// Start with the block passed in the argument.
size_t sp = 0;
for (;;) {
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// work out number of consecutive blocks in the chain starting with this one
size_t n_blocks = 0;
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do {
n_blocks += 1;
} while (ATB_GET_KIND(block + n_blocks) == AT_TAIL);
// check this block's children
void **ptrs = (void**)PTR_FROM_BLOCK(block);
for (size_t i = n_blocks * BYTES_PER_BLOCK / sizeof(void*); i > 0; i--, ptrs++) {
void *ptr = *ptrs;
if (VERIFY_PTR(ptr)) {
// Mark and push this pointer
size_t childblock = BLOCK_FROM_PTR(ptr);
if (ATB_GET_KIND(childblock) == AT_HEAD) {
// an unmarked head, mark it, and push it on gc stack
TRACE_MARK(childblock, ptr);
ATB_HEAD_TO_MARK(childblock);
if (sp < MICROPY_ALLOC_GC_STACK_SIZE) {
MP_STATE_MEM(gc_stack)[sp++] = childblock;
} else {
MP_STATE_MEM(gc_stack_overflow) = 1;
}
}
}
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}
// Are there any blocks on the stack?
if (sp == 0) {
break; // No, stack is empty, we're done.
}
// pop the next block off the stack
block = MP_STATE_MEM(gc_stack)[--sp];
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}
}
STATIC void gc_deal_with_stack_overflow(void) {
while (MP_STATE_MEM(gc_stack_overflow)) {
MP_STATE_MEM(gc_stack_overflow) = 0;
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// scan entire memory looking for blocks which have been marked but not their children
for (size_t block = 0; block < MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB; block++) {
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// trace (again) if mark bit set
if (ATB_GET_KIND(block) == AT_MARK) {
gc_mark_subtree(block);
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}
}
}
}
STATIC void gc_sweep(void) {
#if MICROPY_PY_GC_COLLECT_RETVAL
MP_STATE_MEM(gc_collected) = 0;
#endif
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// free unmarked heads and their tails
int free_tail = 0;
for (size_t block = 0; block < MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB; block++) {
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switch (ATB_GET_KIND(block)) {
case AT_HEAD:
#if MICROPY_ENABLE_FINALISER
if (FTB_GET(block)) {
mp_obj_base_t *obj = (mp_obj_base_t*)PTR_FROM_BLOCK(block);
if (obj->type != NULL) {
// if the object has a type then see if it has a __del__ method
mp_obj_t dest[2];
mp_load_method_maybe(MP_OBJ_FROM_PTR(obj), MP_QSTR___del__, dest);
if (dest[0] != MP_OBJ_NULL) {
// load_method returned a method, execute it in a protected environment
#if MICROPY_ENABLE_SCHEDULER
mp_sched_lock();
#endif
mp_call_function_1_protected(dest[0], dest[1]);
#if MICROPY_ENABLE_SCHEDULER
mp_sched_unlock();
#endif
}
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}
// clear finaliser flag
FTB_CLEAR(block);
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}
#endif
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free_tail = 1;
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
ATB_ANY_TO_FREE(block);
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#if CLEAR_ON_SWEEP
memset((void*)PTR_FROM_BLOCK(block), 0, BYTES_PER_BLOCK);
#endif
DEBUG_printf("gc_sweep(%x)\n", PTR_FROM_BLOCK(block));
#ifdef LOG_HEAP_ACTIVITY
gc_log_change(block, 0);
#endif
#if MICROPY_PY_GC_COLLECT_RETVAL
MP_STATE_MEM(gc_collected)++;
#endif
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
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break;
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case AT_TAIL:
if (free_tail) {
ATB_ANY_TO_FREE(block);
#if CLEAR_ON_SWEEP
memset((void*)PTR_FROM_BLOCK(block), 0, BYTES_PER_BLOCK);
#endif
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}
break;
case AT_MARK:
ATB_MARK_TO_HEAD(block);
free_tail = 0;
break;
}
}
}
// Mark can handle NULL pointers because it verifies the pointer is within the heap bounds.
STATIC void gc_mark(void* ptr) {
if (VERIFY_PTR(ptr)) {
size_t block = BLOCK_FROM_PTR(ptr);
if (ATB_GET_KIND(block) == AT_HEAD) {
// An unmarked head: mark it, and mark all its children
TRACE_MARK(block, ptr);
ATB_HEAD_TO_MARK(block);
gc_mark_subtree(block);
}
}
}
void gc_collect_start(void) {
GC_ENTER();
MP_STATE_MEM(gc_lock_depth)++;
py/gc: Implement GC running by allocation threshold. Currently, MicroPython runs GC when it could not allocate a block of memory, which happens when heap is exhausted. However, that policy can't work well with "inifinity" heaps, e.g. backed by a virtual memory - there will be a lot of swap thrashing long before VM will be exhausted. Instead, in such cases "allocation threshold" policy is used: a GC is run after some number of allocations have been made. Details vary, for example, number or total amount of allocations can be used, threshold may be self-adjusting based on GC outcome, etc. This change implements a simple variant of such policy for MicroPython. Amount of allocated memory so far is used for threshold, to make it useful to typical finite-size, and small, heaps as used with MicroPython ports. And such GC policy is indeed useful for such types of heaps too, as it allows to better control fragmentation. For example, if a threshold is set to half size of heap, then for an application which usually makes big number of small allocations, that will (try to) keep half of heap memory in a nice defragmented state for an occasional large allocation. For an application which doesn't exhibit such behavior, there won't be any visible effects, except for GC running more frequently, which however may affect performance. To address this, the GC threshold is configurable, and by default is off so far. It's configured with gc.threshold(amount_in_bytes) call (can be queries without an argument).
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#if MICROPY_GC_ALLOC_THRESHOLD
MP_STATE_MEM(gc_alloc_amount) = 0;
#endif
MP_STATE_MEM(gc_stack_overflow) = 0;
py: Introduce a Python stack for scoped allocation. This patch introduces the MICROPY_ENABLE_PYSTACK option (disabled by default) which enables a "Python stack" that allows to allocate and free memory in a scoped, or Last-In-First-Out (LIFO) way, similar to alloca(). A new memory allocation API is introduced along with this Py-stack. It includes both "local" and "nonlocal" LIFO allocation. Local allocation is intended to be equivalent to using alloca(), whereby the same function must free the memory. Nonlocal allocation is where another function may free the memory, so long as it's still LIFO. Follow-up patches will convert all uses of alloca() and VLA to the new scoped allocation API. The old behaviour (using alloca()) will still be available, but when MICROPY_ENABLE_PYSTACK is enabled then alloca() is no longer required or used. The benefits of enabling this option are (or will be once subsequent patches are made to convert alloca()/VLA): - Toolchains without alloca() can use this feature to obtain correct and efficient scoped memory allocation (compared to using the heap instead of alloca(), which is slower). - Even if alloca() is available, enabling the Py-stack gives slightly more efficient use of stack space when calling nested Python functions, due to the way that compilers implement alloca(). - Enabling the Py-stack with the stackless mode allows for even more efficient stack usage, as well as retaining high performance (because the heap is no longer used to build and destroy stackless code states). - With Py-stack and stackless enabled, Python-calling-Python is no longer recursive in the C mp_execute_bytecode function. The micropython.pystack_use() function is included to measure usage of the Python stack.
2017-11-26 07:28:40 -05:00
// Trace root pointers. This relies on the root pointers being organised
// correctly in the mp_state_ctx structure. We scan nlr_top, dict_locals,
// dict_globals, then the root pointer section of mp_state_vm.
void **ptrs = (void**)(void*)&mp_state_ctx;
size_t root_start = offsetof(mp_state_ctx_t, thread.dict_locals);
size_t root_end = offsetof(mp_state_ctx_t, vm.qstr_last_chunk);
gc_collect_root(ptrs + root_start / sizeof(void*), (root_end - root_start) / sizeof(void*));
py: Introduce a Python stack for scoped allocation. This patch introduces the MICROPY_ENABLE_PYSTACK option (disabled by default) which enables a "Python stack" that allows to allocate and free memory in a scoped, or Last-In-First-Out (LIFO) way, similar to alloca(). A new memory allocation API is introduced along with this Py-stack. It includes both "local" and "nonlocal" LIFO allocation. Local allocation is intended to be equivalent to using alloca(), whereby the same function must free the memory. Nonlocal allocation is where another function may free the memory, so long as it's still LIFO. Follow-up patches will convert all uses of alloca() and VLA to the new scoped allocation API. The old behaviour (using alloca()) will still be available, but when MICROPY_ENABLE_PYSTACK is enabled then alloca() is no longer required or used. The benefits of enabling this option are (or will be once subsequent patches are made to convert alloca()/VLA): - Toolchains without alloca() can use this feature to obtain correct and efficient scoped memory allocation (compared to using the heap instead of alloca(), which is slower). - Even if alloca() is available, enabling the Py-stack gives slightly more efficient use of stack space when calling nested Python functions, due to the way that compilers implement alloca(). - Enabling the Py-stack with the stackless mode allows for even more efficient stack usage, as well as retaining high performance (because the heap is no longer used to build and destroy stackless code states). - With Py-stack and stackless enabled, Python-calling-Python is no longer recursive in the C mp_execute_bytecode function. The micropython.pystack_use() function is included to measure usage of the Python stack.
2017-11-26 07:28:40 -05:00
gc_mark(MP_STATE_MEM(permanent_pointers));
py: Introduce a Python stack for scoped allocation. This patch introduces the MICROPY_ENABLE_PYSTACK option (disabled by default) which enables a "Python stack" that allows to allocate and free memory in a scoped, or Last-In-First-Out (LIFO) way, similar to alloca(). A new memory allocation API is introduced along with this Py-stack. It includes both "local" and "nonlocal" LIFO allocation. Local allocation is intended to be equivalent to using alloca(), whereby the same function must free the memory. Nonlocal allocation is where another function may free the memory, so long as it's still LIFO. Follow-up patches will convert all uses of alloca() and VLA to the new scoped allocation API. The old behaviour (using alloca()) will still be available, but when MICROPY_ENABLE_PYSTACK is enabled then alloca() is no longer required or used. The benefits of enabling this option are (or will be once subsequent patches are made to convert alloca()/VLA): - Toolchains without alloca() can use this feature to obtain correct and efficient scoped memory allocation (compared to using the heap instead of alloca(), which is slower). - Even if alloca() is available, enabling the Py-stack gives slightly more efficient use of stack space when calling nested Python functions, due to the way that compilers implement alloca(). - Enabling the Py-stack with the stackless mode allows for even more efficient stack usage, as well as retaining high performance (because the heap is no longer used to build and destroy stackless code states). - With Py-stack and stackless enabled, Python-calling-Python is no longer recursive in the C mp_execute_bytecode function. The micropython.pystack_use() function is included to measure usage of the Python stack.
2017-11-26 07:28:40 -05:00
#if MICROPY_ENABLE_PYSTACK
// Trace root pointers from the Python stack.
ptrs = (void**)(void*)MP_STATE_THREAD(pystack_start);
gc_collect_root(ptrs, (MP_STATE_THREAD(pystack_cur) - MP_STATE_THREAD(pystack_start)) / sizeof(void*));
#endif
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}
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void gc_collect_ptr(void *ptr) {
gc_mark(ptr);
}
void gc_collect_root(void **ptrs, size_t len) {
for (size_t i = 0; i < len; i++) {
void *ptr = ptrs[i];
gc_mark(ptr);
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}
}
void gc_collect_end(void) {
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gc_deal_with_stack_overflow();
gc_sweep();
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
MP_STATE_MEM(gc_first_free_atb_index) = 0;
MP_STATE_MEM(gc_last_free_atb_index) = MP_STATE_MEM(gc_alloc_table_byte_len) - 1;
MP_STATE_MEM(gc_lock_depth)--;
GC_EXIT();
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}
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void gc_sweep_all(void) {
GC_ENTER();
MP_STATE_MEM(gc_lock_depth)++;
MP_STATE_MEM(gc_stack_overflow) = 0;
gc_collect_end();
}
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void gc_info(gc_info_t *info) {
GC_ENTER();
info->total = MP_STATE_MEM(gc_pool_end) - MP_STATE_MEM(gc_pool_start);
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info->used = 0;
info->free = 0;
info->max_free = 0;
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info->num_1block = 0;
info->num_2block = 0;
info->max_block = 0;
bool finish = false;
for (size_t block = 0, len = 0, len_free = 0; !finish;) {
size_t kind = ATB_GET_KIND(block);
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switch (kind) {
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case AT_FREE:
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info->free += 1;
len_free += 1;
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len = 0;
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break;
case AT_HEAD:
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info->used += 1;
len = 1;
break;
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case AT_TAIL:
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info->used += 1;
len += 1;
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break;
case AT_MARK:
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// shouldn't happen
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break;
}
block++;
finish = (block == MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB);
// Get next block type if possible
if (!finish) {
kind = ATB_GET_KIND(block);
}
if (finish || kind == AT_FREE || kind == AT_HEAD) {
if (len == 1) {
info->num_1block += 1;
} else if (len == 2) {
info->num_2block += 1;
}
if (len > info->max_block) {
info->max_block = len;
}
if (finish || kind == AT_HEAD) {
if (len_free > info->max_free) {
info->max_free = len_free;
}
len_free = 0;
}
}
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}
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info->used *= BYTES_PER_BLOCK;
info->free *= BYTES_PER_BLOCK;
GC_EXIT();
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}
bool gc_alloc_possible(void) {
return MP_STATE_MEM(gc_pool_start) != 0;
}
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
// We place long lived objects at the end of the heap rather than the start. This reduces
// fragmentation by localizing the heap churn to one portion of memory (the start of the heap.)
void *gc_alloc(size_t n_bytes, bool has_finaliser, bool long_lived) {
size_t n_blocks = ((n_bytes + BYTES_PER_BLOCK - 1) & (~(BYTES_PER_BLOCK - 1))) / BYTES_PER_BLOCK;
DEBUG_printf("gc_alloc(" UINT_FMT " bytes -> " UINT_FMT " blocks)\n", n_bytes, n_blocks);
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// check for 0 allocation
if (n_blocks == 0) {
return NULL;
}
if (MP_STATE_MEM(gc_pool_start) == 0) {
reset_into_safe_mode(GC_ALLOC_OUTSIDE_VM);
}
GC_ENTER();
// check if GC is locked
if (MP_STATE_MEM(gc_lock_depth) > 0) {
GC_EXIT();
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return NULL;
}
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
size_t found_block = 0xffffffff;
size_t end_block;
size_t start_block;
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
size_t n_free;
bool collected = !MP_STATE_MEM(gc_auto_collect_enabled);
py/gc: Implement GC running by allocation threshold. Currently, MicroPython runs GC when it could not allocate a block of memory, which happens when heap is exhausted. However, that policy can't work well with "inifinity" heaps, e.g. backed by a virtual memory - there will be a lot of swap thrashing long before VM will be exhausted. Instead, in such cases "allocation threshold" policy is used: a GC is run after some number of allocations have been made. Details vary, for example, number or total amount of allocations can be used, threshold may be self-adjusting based on GC outcome, etc. This change implements a simple variant of such policy for MicroPython. Amount of allocated memory so far is used for threshold, to make it useful to typical finite-size, and small, heaps as used with MicroPython ports. And such GC policy is indeed useful for such types of heaps too, as it allows to better control fragmentation. For example, if a threshold is set to half size of heap, then for an application which usually makes big number of small allocations, that will (try to) keep half of heap memory in a nice defragmented state for an occasional large allocation. For an application which doesn't exhibit such behavior, there won't be any visible effects, except for GC running more frequently, which however may affect performance. To address this, the GC threshold is configurable, and by default is off so far. It's configured with gc.threshold(amount_in_bytes) call (can be queries without an argument).
2016-07-20 17:37:30 -04:00
#if MICROPY_GC_ALLOC_THRESHOLD
if (!collected && MP_STATE_MEM(gc_alloc_amount) >= MP_STATE_MEM(gc_alloc_threshold)) {
GC_EXIT();
gc_collect();
collected = 1;
py/gc: Implement GC running by allocation threshold. Currently, MicroPython runs GC when it could not allocate a block of memory, which happens when heap is exhausted. However, that policy can't work well with "inifinity" heaps, e.g. backed by a virtual memory - there will be a lot of swap thrashing long before VM will be exhausted. Instead, in such cases "allocation threshold" policy is used: a GC is run after some number of allocations have been made. Details vary, for example, number or total amount of allocations can be used, threshold may be self-adjusting based on GC outcome, etc. This change implements a simple variant of such policy for MicroPython. Amount of allocated memory so far is used for threshold, to make it useful to typical finite-size, and small, heaps as used with MicroPython ports. And such GC policy is indeed useful for such types of heaps too, as it allows to better control fragmentation. For example, if a threshold is set to half size of heap, then for an application which usually makes big number of small allocations, that will (try to) keep half of heap memory in a nice defragmented state for an occasional large allocation. For an application which doesn't exhibit such behavior, there won't be any visible effects, except for GC running more frequently, which however may affect performance. To address this, the GC threshold is configurable, and by default is off so far. It's configured with gc.threshold(amount_in_bytes) call (can be queries without an argument).
2016-07-20 17:37:30 -04:00
GC_ENTER();
}
#endif
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
bool keep_looking = true;
// When we start searching on the other side of the crossover block we make sure to
// perform a collect. That way we'll get the closest free block in our section.
size_t crossover_block = BLOCK_FROM_PTR(MP_STATE_MEM(gc_lowest_long_lived_ptr));
while (keep_looking) {
int8_t direction = 1;
size_t start = MP_STATE_MEM(gc_first_free_atb_index);
if (long_lived) {
direction = -1;
start = MP_STATE_MEM(gc_last_free_atb_index);
}
n_free = 0;
2013-10-21 18:45:08 -04:00
// look for a run of n_blocks available blocks
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
for (size_t i = start; keep_looking && MP_STATE_MEM(gc_first_free_atb_index) <= i && i <= MP_STATE_MEM(gc_last_free_atb_index); i += direction) {
byte a = MP_STATE_MEM(gc_alloc_table_start)[i];
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
// Four ATB states are packed into a single byte.
int j = 0;
if (direction == -1) {
j = 3;
}
for (; keep_looking && 0 <= j && j <= 3; j += direction) {
if ((a & (0x3 << (j * 2))) == 0) {
if (++n_free >= n_blocks) {
found_block = i * BLOCKS_PER_ATB + j;
keep_looking = false;
}
} else {
if (!collected) {
size_t block = i * BLOCKS_PER_ATB + j;
if ((direction == 1 && block >= crossover_block) ||
(direction == -1 && block < crossover_block)) {
keep_looking = false;
}
}
n_free = 0;
}
}
}
if (n_free >= n_blocks) {
break;
}
2013-10-21 18:45:08 -04:00
GC_EXIT();
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// nothing found!
if (collected) {
return NULL;
}
2014-02-11 11:01:38 -05:00
DEBUG_printf("gc_alloc(" UINT_FMT "): no free mem, triggering GC\n", n_bytes);
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gc_collect();
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
collected = true;
// Try again since we've hopefully freed up space.
keep_looking = true;
GC_ENTER();
2013-10-21 18:45:08 -04:00
}
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
assert(found_block != 0xffffffff);
2013-10-21 18:45:08 -04:00
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
// Found free space ending at found_block inclusive.
// Also, set last free ATB index to block after last block we found, for start of
// next scan. To reduce fragmentation, we only do this if we were looking
// for a single free block, which guarantees that there are no free blocks
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
// before this one. Also, whenever we free or shrink a block we must check
// if this index needs adjusting (see gc_realloc and gc_free).
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
if (!long_lived) {
end_block = found_block;
start_block = found_block - n_free + 1;
if (n_blocks == 1) {
MP_STATE_MEM(gc_first_free_atb_index) = (found_block + 1) / BLOCKS_PER_ATB;
}
} else {
start_block = found_block;
end_block = found_block + n_free - 1;
if (n_blocks == 1) {
MP_STATE_MEM(gc_last_free_atb_index) = (found_block - 1) / BLOCKS_PER_ATB;
}
}
#ifdef LOG_HEAP_ACTIVITY
gc_log_change(start_block, end_block - start_block + 1);
#endif
2013-10-21 18:45:08 -04:00
// mark first block as used head
ATB_FREE_TO_HEAD(start_block);
// mark rest of blocks as used tail
// TODO for a run of many blocks can make this more efficient
for (size_t bl = start_block + 1; bl <= end_block; bl++) {
2013-10-21 18:45:08 -04:00
ATB_FREE_TO_TAIL(bl);
}
// get pointer to first block
// we must create this pointer before unlocking the GC so a collection can find it
void *ret_ptr = (void*)(MP_STATE_MEM(gc_pool_start) + start_block * BYTES_PER_BLOCK);
DEBUG_printf("gc_alloc(%p)\n", ret_ptr);
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
// If the allocation was long live then update the lowest value. Its used to trigger early
// collects when allocations fail in their respective section. Its also used to ignore calls to
// gc_make_long_lived where the pointer is already in the long lived section.
if (long_lived && ret_ptr < MP_STATE_MEM(gc_lowest_long_lived_ptr)) {
MP_STATE_MEM(gc_lowest_long_lived_ptr) = ret_ptr;
}
py/gc: Implement GC running by allocation threshold. Currently, MicroPython runs GC when it could not allocate a block of memory, which happens when heap is exhausted. However, that policy can't work well with "inifinity" heaps, e.g. backed by a virtual memory - there will be a lot of swap thrashing long before VM will be exhausted. Instead, in such cases "allocation threshold" policy is used: a GC is run after some number of allocations have been made. Details vary, for example, number or total amount of allocations can be used, threshold may be self-adjusting based on GC outcome, etc. This change implements a simple variant of such policy for MicroPython. Amount of allocated memory so far is used for threshold, to make it useful to typical finite-size, and small, heaps as used with MicroPython ports. And such GC policy is indeed useful for such types of heaps too, as it allows to better control fragmentation. For example, if a threshold is set to half size of heap, then for an application which usually makes big number of small allocations, that will (try to) keep half of heap memory in a nice defragmented state for an occasional large allocation. For an application which doesn't exhibit such behavior, there won't be any visible effects, except for GC running more frequently, which however may affect performance. To address this, the GC threshold is configurable, and by default is off so far. It's configured with gc.threshold(amount_in_bytes) call (can be queries without an argument).
2016-07-20 17:37:30 -04:00
#if MICROPY_GC_ALLOC_THRESHOLD
MP_STATE_MEM(gc_alloc_amount) += n_blocks;
#endif
GC_EXIT();
#if MICROPY_GC_CONSERVATIVE_CLEAR
// be conservative and zero out all the newly allocated blocks
memset((byte*)ret_ptr, 0, (end_block - start_block + 1) * BYTES_PER_BLOCK);
#else
// zero out the additional bytes of the newly allocated blocks
// This is needed because the blocks may have previously held pointers
// to the heap and will not be set to something else if the caller
// doesn't actually use the entire block. As such they will continue
// to point to the heap and may prevent other blocks from being reclaimed.
memset((byte*)ret_ptr + n_bytes, 0, (end_block - start_block + 1) * BYTES_PER_BLOCK - n_bytes);
#endif
#if MICROPY_ENABLE_FINALISER
if (has_finaliser) {
// clear type pointer in case it is never set
((mp_obj_base_t*)ret_ptr)->type = NULL;
// set mp_obj flag only if it has a finaliser
GC_ENTER();
FTB_SET(start_block);
GC_EXIT();
2014-04-05 09:49:03 -04:00
}
#else
(void)has_finaliser;
#endif
2014-04-05 09:49:03 -04:00
#if EXTENSIVE_HEAP_PROFILING
gc_dump_alloc_table();
#endif
return ret_ptr;
2013-10-21 18:45:08 -04:00
}
/*
void *gc_alloc(mp_uint_t n_bytes) {
2014-04-03 17:55:12 -04:00
return _gc_alloc(n_bytes, false);
}
void *gc_alloc_with_finaliser(mp_uint_t n_bytes) {
2014-04-03 17:55:12 -04:00
return _gc_alloc(n_bytes, true);
}
*/
2014-04-03 17:55:12 -04:00
// force the freeing of a piece of memory
// TODO: freeing here does not call finaliser
void gc_free(void *ptr) {
GC_ENTER();
if (MP_STATE_MEM(gc_lock_depth) > 0) {
// TODO how to deal with this error?
GC_EXIT();
return;
}
DEBUG_printf("gc_free(%p)\n", ptr);
if (ptr == NULL) {
GC_EXIT();
} else {
if (MP_STATE_MEM(gc_pool_start) == 0) {
reset_into_safe_mode(GC_ALLOC_OUTSIDE_VM);
}
// get the GC block number corresponding to this pointer
assert(VERIFY_PTR(ptr));
size_t block = BLOCK_FROM_PTR(ptr);
assert(ATB_GET_KIND(block) == AT_HEAD);
#if MICROPY_ENABLE_FINALISER
FTB_CLEAR(block);
#endif
// set the last_free pointer to this block if it's earlier in the heap
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
if (block / BLOCKS_PER_ATB < MP_STATE_MEM(gc_first_free_atb_index)) {
MP_STATE_MEM(gc_first_free_atb_index) = block / BLOCKS_PER_ATB;
}
if (block / BLOCKS_PER_ATB > MP_STATE_MEM(gc_last_free_atb_index)) {
MP_STATE_MEM(gc_last_free_atb_index) = block / BLOCKS_PER_ATB;
}
// free head and all of its tail blocks
#ifdef LOG_HEAP_ACTIVITY
gc_log_change(block, 0);
#endif
do {
ATB_ANY_TO_FREE(block);
block += 1;
} while (ATB_GET_KIND(block) == AT_TAIL);
GC_EXIT();
#if EXTENSIVE_HEAP_PROFILING
gc_dump_alloc_table();
#endif
}
}
size_t gc_nbytes(const void *ptr) {
GC_ENTER();
if (VERIFY_PTR(ptr)) {
size_t block = BLOCK_FROM_PTR(ptr);
2013-10-21 18:45:08 -04:00
if (ATB_GET_KIND(block) == AT_HEAD) {
// work out number of consecutive blocks in the chain starting with this on
size_t n_blocks = 0;
2013-10-21 18:45:08 -04:00
do {
n_blocks += 1;
} while (ATB_GET_KIND(block + n_blocks) == AT_TAIL);
GC_EXIT();
2013-10-21 18:45:08 -04:00
return n_blocks * BYTES_PER_BLOCK;
}
}
// invalid pointer
GC_EXIT();
2013-10-21 18:45:08 -04:00
return 0;
}
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
bool gc_has_finaliser(const void *ptr) {
#if MICROPY_ENABLE_FINALISER
GC_ENTER();
if (VERIFY_PTR(ptr)) {
bool has_finaliser = FTB_GET(BLOCK_FROM_PTR(ptr));
GC_EXIT();
return has_finaliser;
}
// invalid pointer
GC_EXIT();
#else
(void) ptr;
#endif
return false;
}
void *gc_make_long_lived(void *old_ptr) {
// If its already in the long lived section then don't bother moving it.
if (old_ptr >= MP_STATE_MEM(gc_lowest_long_lived_ptr)) {
return old_ptr;
}
size_t n_bytes = gc_nbytes(old_ptr);
if (n_bytes == 0) {
return old_ptr;
}
bool has_finaliser = gc_has_finaliser(old_ptr);
// Try and find a new area in the long lived section to copy the memory to.
void* new_ptr = gc_alloc(n_bytes, has_finaliser, true);
if (new_ptr == NULL) {
return old_ptr;
} else if (old_ptr > new_ptr) {
// Return the old pointer if the new one is lower in the heap and free the new space.
gc_free(new_ptr);
return old_ptr;
}
// We copy everything over and let the garbage collection process delete the old copy. That way
// we ensure we don't delete memory that has a second reference. (Though if there is we may
// confuse things when its mutable.)
memcpy(new_ptr, old_ptr, n_bytes);
return new_ptr;
}
2014-03-12 15:00:23 -04:00
#if 0
// old, simple realloc that didn't expand memory in place
void *gc_realloc(void *ptr, mp_uint_t n_bytes) {
mp_uint_t n_existing = gc_nbytes(ptr);
2014-03-06 19:21:51 -05:00
if (n_bytes <= n_existing) {
return ptr;
} else {
bool has_finaliser;
if (ptr == NULL) {
has_finaliser = false;
} else {
#if MICROPY_ENABLE_FINALISER
has_finaliser = FTB_GET(BLOCK_FROM_PTR((mp_uint_t)ptr));
#else
has_finaliser = false;
#endif
}
void *ptr2 = gc_alloc(n_bytes, has_finaliser);
2014-03-06 19:21:51 -05:00
if (ptr2 == NULL) {
return ptr2;
}
memcpy(ptr2, ptr, n_existing);
gc_free(ptr);
return ptr2;
}
}
#else // Alternative gc_realloc impl
void *gc_realloc(void *ptr_in, size_t n_bytes, bool allow_move) {
// check for pure allocation
if (ptr_in == NULL) {
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
return gc_alloc(n_bytes, false, false);
}
// check for pure free
if (n_bytes == 0) {
gc_free(ptr_in);
return NULL;
}
void *ptr = ptr_in;
GC_ENTER();
if (MP_STATE_MEM(gc_lock_depth) > 0) {
GC_EXIT();
return NULL;
}
// get the GC block number corresponding to this pointer
assert(VERIFY_PTR(ptr));
size_t block = BLOCK_FROM_PTR(ptr);
assert(ATB_GET_KIND(block) == AT_HEAD);
// compute number of new blocks that are requested
size_t new_blocks = (n_bytes + BYTES_PER_BLOCK - 1) / BYTES_PER_BLOCK;
// Get the total number of consecutive blocks that are already allocated to
// this chunk of memory, and then count the number of free blocks following
// it. Stop if we reach the end of the heap, or if we find enough extra
// free blocks to satisfy the realloc. Note that we need to compute the
// total size of the existing memory chunk so we can correctly and
// efficiently shrink it (see below for shrinking code).
size_t n_free = 0;
size_t n_blocks = 1; // counting HEAD block
size_t max_block = MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB;
for (size_t bl = block + n_blocks; bl < max_block; bl++) {
byte block_type = ATB_GET_KIND(bl);
if (block_type == AT_TAIL) {
n_blocks++;
continue;
2014-03-12 15:00:23 -04:00
}
if (block_type == AT_FREE) {
n_free++;
if (n_blocks + n_free >= new_blocks) {
// stop as soon as we find enough blocks for n_bytes
break;
}
continue;
}
break;
}
// return original ptr if it already has the requested number of blocks
if (new_blocks == n_blocks) {
GC_EXIT();
return ptr_in;
}
// check if we can shrink the allocated area
if (new_blocks < n_blocks) {
// free unneeded tail blocks
for (size_t bl = block + new_blocks, count = n_blocks - new_blocks; count > 0; bl++, count--) {
ATB_ANY_TO_FREE(bl);
}
// set the last_free pointer to end of this block if it's earlier in the heap
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
if ((block + new_blocks) / BLOCKS_PER_ATB < MP_STATE_MEM(gc_first_free_atb_index)) {
MP_STATE_MEM(gc_first_free_atb_index) = (block + new_blocks) / BLOCKS_PER_ATB;
}
if ((block + new_blocks) / BLOCKS_PER_ATB > MP_STATE_MEM(gc_last_free_atb_index)) {
MP_STATE_MEM(gc_last_free_atb_index) = (block + new_blocks) / BLOCKS_PER_ATB;
}
GC_EXIT();
#if EXTENSIVE_HEAP_PROFILING
gc_dump_alloc_table();
#endif
#ifdef LOG_HEAP_ACTIVITY
gc_log_change(block, new_blocks);
#endif
return ptr_in;
}
// check if we can expand in place
if (new_blocks <= n_blocks + n_free) {
// mark few more blocks as used tail
for (size_t bl = block + n_blocks; bl < block + new_blocks; bl++) {
assert(ATB_GET_KIND(bl) == AT_FREE);
ATB_FREE_TO_TAIL(bl);
}
GC_EXIT();
#if MICROPY_GC_CONSERVATIVE_CLEAR
// be conservative and zero out all the newly allocated blocks
memset((byte*)ptr_in + n_blocks * BYTES_PER_BLOCK, 0, (new_blocks - n_blocks) * BYTES_PER_BLOCK);
#else
// zero out the additional bytes of the newly allocated blocks (see comment above in gc_alloc)
memset((byte*)ptr_in + n_bytes, 0, new_blocks * BYTES_PER_BLOCK - n_bytes);
#endif
#if EXTENSIVE_HEAP_PROFILING
gc_dump_alloc_table();
#endif
#ifdef LOG_HEAP_ACTIVITY
gc_log_change(block, new_blocks);
#endif
return ptr_in;
}
#if MICROPY_ENABLE_FINALISER
bool ftb_state = FTB_GET(block);
#else
bool ftb_state = false;
#endif
GC_EXIT();
if (!allow_move) {
// not allowed to move memory block so return failure
return NULL;
}
// can't resize inplace; try to find a new contiguous chain
Introduce a long lived section of the heap. This adapts the allocation process to start from either end of the heap when searching for free space. The default behavior is identical to the existing behavior where it starts with the lowest block and looks higher. Now it can also look from the highest block and lower depending on the long_lived parameter to gc_alloc. As the heap fills, the two sections may overlap. When they overlap, a collect may be triggered in order to keep the long lived section compact. However, free space is always eligable for each type of allocation. By starting from either of the end of the heap we have ability to separate short lived objects from long lived ones. This separation reduces heap fragmentation because long lived objects are easy to densely pack. Most objects are short lived initially but may be made long lived when they are referenced by a type or module. This involves copying the memory and then letting the collect phase free the old portion. QSTR pools and chunks are always long lived because they are never freed. The reallocation, collection and free processes are largely unchanged. They simply also maintain an index to the highest free block as well as the lowest. These indices are used to speed up the allocation search until the next collect. In practice, this change may slightly slow down import statements with the benefit that memory is much less fragmented afterwards. For example, a test import into a 20k heap that leaves ~6k free previously had the largest continuous free space of ~400 bytes. After this change, the largest continuous free space is over 3400 bytes.
2018-01-23 19:22:05 -05:00
void *ptr_out = gc_alloc(n_bytes, ftb_state, false);
// check that the alloc succeeded
if (ptr_out == NULL) {
return NULL;
2013-10-21 18:45:08 -04:00
}
DEBUG_printf("gc_realloc(%p -> %p)\n", ptr_in, ptr_out);
memcpy(ptr_out, ptr_in, n_blocks * BYTES_PER_BLOCK);
gc_free(ptr_in);
return ptr_out;
2013-10-21 18:45:08 -04:00
}
#endif // Alternative gc_realloc impl
2014-03-12 15:00:23 -04:00
bool gc_never_free(void *ptr) {
// Check to make sure the pointer is on the heap in the first place.
if (gc_nbytes(ptr) == 0) {
return false;
}
// Pointers are stored in a linked list where each block is BYTES_PER_BLOCK long and the first
// pointer is the next block of pointers.
void ** current_reference_block = MP_STATE_MEM(permanent_pointers);
while (current_reference_block != NULL) {
for (size_t i = 1; i < BYTES_PER_BLOCK / sizeof(void*); i++) {
if (current_reference_block[i] == NULL) {
current_reference_block[i] = ptr;
return true;
}
}
current_reference_block = current_reference_block[0];
}
void** next_block = gc_alloc(BYTES_PER_BLOCK, false, true);
if (next_block == NULL) {
return false;
}
if (MP_STATE_MEM(permanent_pointers) == NULL) {
MP_STATE_MEM(permanent_pointers) = next_block;
} else {
current_reference_block[0] = next_block;
}
next_block[1] = ptr;
return true;
}
void gc_dump_info(void) {
2014-02-11 11:01:38 -05:00
gc_info_t info;
gc_info(&info);
mp_printf(&mp_plat_print, "GC: total: %u, used: %u, free: %u\n",
(uint)info.total, (uint)info.used, (uint)info.free);
mp_printf(&mp_plat_print, " No. of 1-blocks: %u, 2-blocks: %u, max blk sz: %u, max free sz: %u\n",
(uint)info.num_1block, (uint)info.num_2block, (uint)info.max_block, (uint)info.max_free);
2014-02-11 11:01:38 -05:00
}
void gc_dump_alloc_table(void) {
GC_ENTER();
static const size_t DUMP_BYTES_PER_LINE = 64;
#if !EXTENSIVE_HEAP_PROFILING
// When comparing heap output we don't want to print the starting
// pointer of the heap because it changes from run to run.
mp_printf(&mp_plat_print, "GC memory layout; from %p:", MP_STATE_MEM(gc_pool_start));
#endif
for (size_t bl = 0; bl < MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB; bl++) {
if (bl % DUMP_BYTES_PER_LINE == 0) {
// a new line of blocks
{
// check if this line contains only free blocks
size_t bl2 = bl;
while (bl2 < MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB && ATB_GET_KIND(bl2) == AT_FREE) {
bl2++;
}
if (bl2 - bl >= 2 * DUMP_BYTES_PER_LINE) {
// there are at least 2 lines containing only free blocks, so abbreviate their printing
mp_printf(&mp_plat_print, "\n (%u lines all free)", (uint)(bl2 - bl) / DUMP_BYTES_PER_LINE);
bl = bl2 & (~(DUMP_BYTES_PER_LINE - 1));
if (bl >= MP_STATE_MEM(gc_alloc_table_byte_len) * BLOCKS_PER_ATB) {
// got to end of heap
break;
}
}
}
// print header for new line of blocks
// (the cast to uint32_t is for 16-bit ports)
//mp_printf(&mp_plat_print, "\n%05x: ", (uint)(PTR_FROM_BLOCK(bl) & (uint32_t)0xfffff));
mp_printf(&mp_plat_print, "\n%05x: ", (uint)((bl * BYTES_PER_BLOCK) & (uint32_t)0xfffff));
}
int c = ' ';
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switch (ATB_GET_KIND(bl)) {
case AT_FREE: c = '.'; break;
/* this prints out if the object is reachable from BSS or STACK (for unix only)
case AT_HEAD: {
c = 'h';
void **ptrs = (void**)(void*)&mp_state_ctx;
mp_uint_t len = offsetof(mp_state_ctx_t, vm.stack_top) / sizeof(mp_uint_t);
for (mp_uint_t i = 0; i < len; i++) {
mp_uint_t ptr = (mp_uint_t)ptrs[i];
if (VERIFY_PTR(ptr) && BLOCK_FROM_PTR(ptr) == bl) {
c = 'B';
break;
}
}
if (c == 'h') {
ptrs = (void**)&c;
len = ((mp_uint_t)MP_STATE_THREAD(stack_top) - (mp_uint_t)&c) / sizeof(mp_uint_t);
for (mp_uint_t i = 0; i < len; i++) {
mp_uint_t ptr = (mp_uint_t)ptrs[i];
if (VERIFY_PTR(ptr) && BLOCK_FROM_PTR(ptr) == bl) {
c = 'S';
break;
}
}
}
break;
}
*/
/* this prints the uPy object type of the head block */
case AT_HEAD: {
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wcast-align"
void **ptr = (void**)(MP_STATE_MEM(gc_pool_start) + bl * BYTES_PER_BLOCK);
#pragma GCC diagnostic pop
if (*ptr == &mp_type_tuple) { c = 'T'; }
else if (*ptr == &mp_type_list) { c = 'L'; }
else if (*ptr == &mp_type_dict) { c = 'D'; }
else if (*ptr == &mp_type_str || *ptr == &mp_type_bytes) { c = 'S'; }
#if MICROPY_PY_BUILTINS_BYTEARRAY
else if (*ptr == &mp_type_bytearray) { c = 'A'; }
#endif
#if MICROPY_PY_ARRAY
else if (*ptr == &mp_type_array) { c = 'A'; }
#endif
#if MICROPY_PY_BUILTINS_FLOAT
else if (*ptr == &mp_type_float) { c = 'F'; }
#endif
else if (*ptr == &mp_type_fun_bc) { c = 'B'; }
else if (*ptr == &mp_type_module) { c = 'M'; }
else {
c = 'h';
#if 0
// This code prints "Q" for qstr-pool data, and "q" for qstr-str
// data. It can be useful to see how qstrs are being allocated,
// but is disabled by default because it is very slow.
for (qstr_pool_t *pool = MP_STATE_VM(last_pool); c == 'h' && pool != NULL; pool = pool->prev) {
if ((qstr_pool_t*)ptr == pool) {
c = 'Q';
break;
}
for (const byte **q = pool->qstrs, **q_top = pool->qstrs + pool->len; q < q_top; q++) {
if ((const byte*)ptr == *q) {
c = 'q';
break;
}
}
}
#endif
}
break;
}
case AT_TAIL: c = '='; break;
case AT_MARK: c = 'm'; break;
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}
mp_printf(&mp_plat_print, "%c", c);
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}
mp_print_str(&mp_plat_print, "\n");
GC_EXIT();
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}
#if DEBUG_PRINT
void gc_test(void) {
mp_uint_t len = 500;
mp_uint_t *heap = malloc(len);
gc_init(heap, heap + len / sizeof(mp_uint_t));
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void *ptrs[100];
{
mp_uint_t **p = gc_alloc(16, false);
p[0] = gc_alloc(64, false);
p[1] = gc_alloc(1, false);
p[2] = gc_alloc(1, false);
p[3] = gc_alloc(1, false);
mp_uint_t ***p2 = gc_alloc(16, false);
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p2[0] = p;
p2[1] = p;
ptrs[0] = p2;
}
for (int i = 0; i < 25; i+=2) {
mp_uint_t *p = gc_alloc(i, false);
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printf("p=%p\n", p);
if (i & 3) {
//ptrs[i] = p;
}
}
printf("Before GC:\n");
gc_dump_alloc_table();
printf("Starting GC...\n");
gc_collect_start();
gc_collect_root(ptrs, sizeof(ptrs) / sizeof(void*));
gc_collect_end();
printf("After GC:\n");
gc_dump_alloc_table();
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}
#endif
#endif // MICROPY_ENABLE_GC