mirror of
https://github.com/microsoft/mimalloc.git
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Merge branch 'dev' into dev-arena
This commit is contained in:
daan
commit
e226ebcc97
20 changed files with 6123 additions and 216 deletions
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@ -1,5 +1,5 @@
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set(mi_version_major 1)
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set(mi_version_minor 4)
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set(mi_version_minor 5)
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set(mi_version ${mi_version_major}.${mi_version_minor})
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set(PACKAGE_VERSION ${mi_version})
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doc/bench-c5-18xlarge-2020-01-20-a.svg
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After Width: | Height: | Size: 75 KiB |
1156
doc/bench-r5a-12xlarge-2020-01-16-b.svg
Normal file
1156
doc/bench-r5a-12xlarge-2020-01-16-b.svg
Normal file
File diff suppressed because it is too large
Load diff
|
After Width: | Height: | Size: 93 KiB |
|
|
@ -23,18 +23,16 @@ terms of the MIT license. A copy of the license can be found in the file
|
|||
#include <stdatomic.h>
|
||||
#endif
|
||||
|
||||
#define mi_atomic_cast(tp,x) (volatile _Atomic(tp)*)(x)
|
||||
|
||||
// ------------------------------------------------------
|
||||
// Atomic operations specialized for mimalloc
|
||||
// ------------------------------------------------------
|
||||
|
||||
// Atomically add a 64-bit value; returns the previous value.
|
||||
// Note: not using _Atomic(int64_t) as it is only used for statistics.
|
||||
static inline void mi_atomic_add64(volatile int64_t* p, int64_t add);
|
||||
static inline void mi_atomic_addi64(volatile int64_t* p, int64_t add);
|
||||
|
||||
// Atomically add a value; returns the previous value. Memory ordering is relaxed.
|
||||
static inline intptr_t mi_atomic_add(volatile _Atomic(intptr_t)* p, intptr_t add);
|
||||
static inline uintptr_t mi_atomic_add(volatile _Atomic(uintptr_t)* p, uintptr_t add);
|
||||
|
||||
// Atomically "and" a value; returns the previous value. Memory ordering is relaxed.
|
||||
static inline uintptr_t mi_atomic_and(volatile _Atomic(uintptr_t)* p, uintptr_t x);
|
||||
|
|
@ -42,7 +40,6 @@ static inline uintptr_t mi_atomic_and(volatile _Atomic(uintptr_t)* p, uintptr_t
|
|||
// Atomically "or" a value; returns the previous value. Memory ordering is relaxed.
|
||||
static inline uintptr_t mi_atomic_or(volatile _Atomic(uintptr_t)* p, uintptr_t x);
|
||||
|
||||
|
||||
// Atomically compare and exchange a value; returns `true` if successful.
|
||||
// May fail spuriously. Memory ordering as release on success, and relaxed on failure.
|
||||
// (Note: expected and desired are in opposite order from atomic_compare_exchange)
|
||||
|
|
@ -69,57 +66,57 @@ static inline void mi_atomic_write(volatile _Atomic(uintptr_t)* p, uintptr_t x);
|
|||
static inline void mi_atomic_yield(void);
|
||||
|
||||
|
||||
|
||||
// Atomically add a value; returns the previous value.
|
||||
static inline uintptr_t mi_atomic_addu(volatile _Atomic(uintptr_t)* p, uintptr_t add) {
|
||||
return (uintptr_t)mi_atomic_add((volatile _Atomic(intptr_t)*)p, (intptr_t)add);
|
||||
}
|
||||
// Atomically subtract a value; returns the previous value.
|
||||
static inline uintptr_t mi_atomic_subu(volatile _Atomic(uintptr_t)* p, uintptr_t sub) {
|
||||
return (uintptr_t)mi_atomic_add((volatile _Atomic(intptr_t)*)p, -((intptr_t)sub));
|
||||
static inline uintptr_t mi_atomic_sub(volatile _Atomic(uintptr_t)* p, uintptr_t sub) {
|
||||
return mi_atomic_add(p, (uintptr_t)(-((intptr_t)sub)));
|
||||
}
|
||||
|
||||
// Atomically increment a value; returns the incremented result.
|
||||
static inline uintptr_t mi_atomic_increment(volatile _Atomic(uintptr_t)* p) {
|
||||
return mi_atomic_addu(p, 1);
|
||||
return mi_atomic_add(p, 1);
|
||||
}
|
||||
|
||||
// Atomically decrement a value; returns the decremented result.
|
||||
static inline uintptr_t mi_atomic_decrement(volatile _Atomic(uintptr_t)* p) {
|
||||
return mi_atomic_subu(p, 1);
|
||||
return mi_atomic_sub(p, 1);
|
||||
}
|
||||
|
||||
// Atomically read a pointer; Memory order is relaxed.
|
||||
static inline void* mi_atomic_read_ptr_relaxed(volatile _Atomic(void*) const * p) {
|
||||
return (void*)mi_atomic_read_relaxed((const volatile _Atomic(uintptr_t)*)p);
|
||||
// Atomically add a signed value; returns the previous value.
|
||||
static inline intptr_t mi_atomic_addi(volatile _Atomic(intptr_t)* p, intptr_t add) {
|
||||
return (intptr_t)mi_atomic_add((volatile _Atomic(uintptr_t)*)p, (uintptr_t)add);
|
||||
}
|
||||
|
||||
// Atomically subtract a signed value; returns the previous value.
|
||||
static inline intptr_t mi_atomic_subi(volatile _Atomic(intptr_t)* p, intptr_t sub) {
|
||||
return (intptr_t)mi_atomic_addi(p,-sub);
|
||||
}
|
||||
|
||||
// Atomically read a pointer; Memory order is relaxed (i.e. no fence, only atomic).
|
||||
#define mi_atomic_read_ptr_relaxed(T,p) \
|
||||
(T*)(mi_atomic_read_relaxed((const volatile _Atomic(uintptr_t)*)(p)))
|
||||
|
||||
// Atomically read a pointer; Memory order is acquire.
|
||||
static inline void* mi_atomic_read_ptr(volatile _Atomic(void*) const * p) {
|
||||
return (void*)mi_atomic_read((const volatile _Atomic(uintptr_t)*)p);
|
||||
}
|
||||
#define mi_atomic_read_ptr(T,p) \
|
||||
(T*)(mi_atomic_read((const volatile _Atomic(uintptr_t)*)(p)))
|
||||
|
||||
// Atomically write a pointer
|
||||
static inline void mi_atomic_write_ptr(volatile _Atomic(void*)* p, void* x) {
|
||||
mi_atomic_write((volatile _Atomic(uintptr_t)*)p, (uintptr_t)x );
|
||||
}
|
||||
// Atomically write a pointer; Memory order is acquire.
|
||||
#define mi_atomic_write_ptr(T,p,x) \
|
||||
mi_atomic_write((volatile _Atomic(uintptr_t)*)(p), (uintptr_t)((T*)x))
|
||||
|
||||
// Atomically compare and exchange a pointer; returns `true` if successful. May fail spuriously.
|
||||
// Memory order is release. (like a write)
|
||||
// (Note: expected and desired are in opposite order from atomic_compare_exchange)
|
||||
static inline bool mi_atomic_cas_ptr_weak(volatile _Atomic(void*)* p, void* desired, void* expected) {
|
||||
return mi_atomic_cas_weak((volatile _Atomic(uintptr_t)*)p, (uintptr_t)desired, (uintptr_t)expected);
|
||||
}
|
||||
#define mi_atomic_cas_ptr_weak(T,p,desired,expected) \
|
||||
mi_atomic_cas_weak((volatile _Atomic(uintptr_t)*)(p), (uintptr_t)((T*)(desired)), (uintptr_t)((T*)(expected)))
|
||||
|
||||
// Atomically compare and exchange a pointer; returns `true` if successful.
|
||||
// Atomically compare and exchange a pointer; returns `true` if successful. Memory order is acquire_release.
|
||||
// (Note: expected and desired are in opposite order from atomic_compare_exchange)
|
||||
static inline bool mi_atomic_cas_ptr_strong(volatile _Atomic(void*)* p, void* desired, void* expected) {
|
||||
return mi_atomic_cas_strong((volatile _Atomic(uintptr_t)*)p, (uintptr_t)desired, (uintptr_t)expected);
|
||||
}
|
||||
#define mi_atomic_cas_ptr_strong(T,p,desired,expected) \
|
||||
mi_atomic_cas_strong((volatile _Atomic(uintptr_t)*)(p),(uintptr_t)((T*)(desired)), (uintptr_t)((T*)(expected)))
|
||||
|
||||
// Atomically exchange a pointer value.
|
||||
static inline void* mi_atomic_exchange_ptr(volatile _Atomic(void*)* p, void* exchange) {
|
||||
return (void*)mi_atomic_exchange((volatile _Atomic(uintptr_t)*)p, (uintptr_t)exchange);
|
||||
}
|
||||
#define mi_atomic_exchange_ptr(T,p,exchange) \
|
||||
(T*)mi_atomic_exchange((volatile _Atomic(uintptr_t)*)(p), (uintptr_t)((T*)exchange))
|
||||
|
||||
|
||||
#ifdef _MSC_VER
|
||||
|
|
@ -133,8 +130,8 @@ typedef LONG64 msc_intptr_t;
|
|||
typedef LONG msc_intptr_t;
|
||||
#define MI_64(f) f
|
||||
#endif
|
||||
static inline intptr_t mi_atomic_add(volatile _Atomic(intptr_t)* p, intptr_t add) {
|
||||
return (intptr_t)MI_64(_InterlockedExchangeAdd)((volatile msc_intptr_t*)p, (msc_intptr_t)add);
|
||||
static inline uintptr_t mi_atomic_add(volatile _Atomic(uintptr_t)* p, uintptr_t add) {
|
||||
return (uintptr_t)MI_64(_InterlockedExchangeAdd)((volatile msc_intptr_t*)p, (msc_intptr_t)add);
|
||||
}
|
||||
static inline uintptr_t mi_atomic_and(volatile _Atomic(uintptr_t)* p, uintptr_t x) {
|
||||
return (uintptr_t)MI_64(_InterlockedAnd)((volatile msc_intptr_t*)p, (msc_intptr_t)x);
|
||||
|
|
@ -155,17 +152,21 @@ static inline uintptr_t mi_atomic_read(volatile _Atomic(uintptr_t) const* p) {
|
|||
return *p;
|
||||
}
|
||||
static inline uintptr_t mi_atomic_read_relaxed(volatile _Atomic(uintptr_t) const* p) {
|
||||
return mi_atomic_read(p);
|
||||
return *p;
|
||||
}
|
||||
static inline void mi_atomic_write(volatile _Atomic(uintptr_t)* p, uintptr_t x) {
|
||||
#if defined(_M_IX86) || defined(_M_X64)
|
||||
*p = x;
|
||||
#else
|
||||
mi_atomic_exchange(p,x);
|
||||
#endif
|
||||
}
|
||||
static inline void mi_atomic_yield(void) {
|
||||
YieldProcessor();
|
||||
}
|
||||
static inline void mi_atomic_add64(volatile _Atomic(int64_t)* p, int64_t add) {
|
||||
static inline void mi_atomic_addi64(volatile _Atomic(int64_t)* p, int64_t add) {
|
||||
#ifdef _WIN64
|
||||
mi_atomic_add(p,add);
|
||||
mi_atomic_addi(p,add);
|
||||
#else
|
||||
int64_t current;
|
||||
int64_t sum;
|
||||
|
|
@ -182,11 +183,11 @@ static inline void mi_atomic_add64(volatile _Atomic(int64_t)* p, int64_t add) {
|
|||
#else
|
||||
#define MI_USING_STD
|
||||
#endif
|
||||
static inline void mi_atomic_add64(volatile int64_t* p, int64_t add) {
|
||||
static inline void mi_atomic_addi64(volatile int64_t* p, int64_t add) {
|
||||
MI_USING_STD
|
||||
atomic_fetch_add_explicit((volatile _Atomic(int64_t)*)p, add, memory_order_relaxed);
|
||||
}
|
||||
static inline intptr_t mi_atomic_add(volatile _Atomic(intptr_t)* p, intptr_t add) {
|
||||
static inline uintptr_t mi_atomic_add(volatile _Atomic(uintptr_t)* p, uintptr_t add) {
|
||||
MI_USING_STD
|
||||
return atomic_fetch_add_explicit(p, add, memory_order_relaxed);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -8,7 +8,7 @@ terms of the MIT license. A copy of the license can be found in the file
|
|||
#ifndef MIMALLOC_H
|
||||
#define MIMALLOC_H
|
||||
|
||||
#define MI_MALLOC_VERSION 140 // major + 2 digits minor
|
||||
#define MI_MALLOC_VERSION 150 // major + 2 digits minor
|
||||
|
||||
// ------------------------------------------------------
|
||||
// Compiler specific attributes
|
||||
|
|
|
|||
246
readme.md
246
readme.md
|
|
@ -11,14 +11,14 @@ mimalloc (pronounced "me-malloc")
|
|||
is a general purpose allocator with excellent [performance](#performance) characteristics.
|
||||
Initially developed by Daan Leijen for the run-time systems of the
|
||||
[Koka](https://github.com/koka-lang/koka) and [Lean](https://github.com/leanprover/lean) languages.
|
||||
Latest release:`v1.4.0` (2020-01-22).
|
||||
|
||||
It is a drop-in replacement for `malloc` and can be used in other programs
|
||||
without code changes, for example, on dynamically linked ELF-based systems (Linux, BSD, etc.) you can use it as:
|
||||
```
|
||||
> LD_PRELOAD=/usr/bin/libmimalloc.so myprogram
|
||||
```
|
||||
|
||||
Notable aspects of the design include:
|
||||
It also has an easy way to override the allocator in [Windows](#override_on_windows). Notable aspects of the design include:
|
||||
|
||||
- __small and consistent__: the library is about 6k LOC using simple and
|
||||
consistent data structures. This makes it very suitable
|
||||
|
|
@ -45,9 +45,10 @@ Notable aspects of the design include:
|
|||
times (_wcat_), bounded space overhead (~0.2% meta-data, with at most 12.5% waste in allocation sizes),
|
||||
and has no internal points of contention using only atomic operations.
|
||||
- __fast__: In our benchmarks (see [below](#performance)),
|
||||
_mimalloc_ always outperforms all other leading allocators (_jemalloc_, _tcmalloc_, _Hoard_, etc),
|
||||
_mimalloc_ outperforms other leading allocators (_jemalloc_, _tcmalloc_, _Hoard_, etc),
|
||||
and usually uses less memory (up to 25% more in the worst case). A nice property
|
||||
is that it does consistently well over a wide range of benchmarks.
|
||||
is that it does consistently well over a wide range of benchmarks. There is also good huge OS page
|
||||
support for larger server programs.
|
||||
|
||||
The [documentation](https://microsoft.github.io/mimalloc) gives a full overview of the API.
|
||||
You can read more on the design of _mimalloc_ in the [technical report](https://www.microsoft.com/en-us/research/publication/mimalloc-free-list-sharding-in-action) which also has detailed benchmark results.
|
||||
|
|
@ -56,8 +57,8 @@ Enjoy!
|
|||
|
||||
### Releases
|
||||
|
||||
* 2020-01-XX, `v1.4.0`: stable release 1.4: delayed OS page reset for (much) better performance
|
||||
with page reset enabled, more eager concurrent free, addition of STL allocator.
|
||||
* 2020-01-22, `v1.4.0`: stable release 1.4: improved performance for delayed OS page reset,
|
||||
more eager concurrent free, addition of STL allocator, fixed potential memory leak.
|
||||
* 2020-01-15, `v1.3.0`: stable release 1.3: bug fixes, improved randomness and [stronger
|
||||
free list encoding](https://github.com/microsoft/mimalloc/blob/783e3377f79ee82af43a0793910a9f2d01ac7863/include/mimalloc-internal.h#L396) in secure mode.
|
||||
* 2019-12-22, `v1.2.2`: stable release 1.2: minor updates.
|
||||
|
|
@ -189,7 +190,7 @@ malloc requested: 32.8 mb
|
|||
The above model of using the `mi_` prefixed API is not always possible
|
||||
though in existing programs that already use the standard malloc interface,
|
||||
and another option is to override the standard malloc interface
|
||||
completely and redirect all calls to the _mimalloc_ library instead.
|
||||
completely and redirect all calls to the _mimalloc_ library instead .
|
||||
|
||||
## Environment Options
|
||||
|
||||
|
|
@ -208,14 +209,17 @@ or via environment variables.
|
|||
to explicitly allow large OS pages (as on [Windows][windows-huge] and [Linux][linux-huge]). However, sometimes
|
||||
the OS is very slow to reserve contiguous physical memory for large OS pages so use with care on systems that
|
||||
can have fragmented memory (for that reason, we generally recommend to use `MIMALLOC_RESERVE_HUGE_OS_PAGES` instead when possible).
|
||||
- `MIMALLOC_EAGER_REGION_COMMIT=1`: on Windows, commit large (256MiB) regions eagerly. On Windows, these regions
|
||||
<!--
|
||||
- `MIMALLOC_EAGER_REGION_COMMIT=1`: on Windows, commit large (256MiB) regions eagerly. On Windows, these regions
|
||||
show in the working set even though usually just a small part is committed to physical memory. This is why it
|
||||
turned off by default on Windows as it looks not good in the task manager. However, in reality it is always better
|
||||
to turn it on as it improves performance and has no other drawbacks.
|
||||
turned off by default on Windows as it looks not good in the task manager. However, turning it on has no
|
||||
real drawbacks and may improve performance by a little.
|
||||
-->
|
||||
- `MIMALLOC_RESERVE_HUGE_OS_PAGES=N`: where N is the number of 1GiB huge OS pages. This reserves the huge pages at
|
||||
startup and can give quite a performance improvement on long running workloads. Usually it is better to not use
|
||||
startup and can give quite a (latency) performance improvement on long running workloads. Usually it is better to not use
|
||||
`MIMALLOC_LARGE_OS_PAGES` in combination with this setting. Just like large OS pages, use with care as reserving
|
||||
contiguous physical memory can take a long time when memory is fragmented.
|
||||
contiguous physical memory can take a long time when memory is fragmented (but reserving the huge pages is done at
|
||||
startup only once).
|
||||
Note that we usually need to explicitly enable huge OS pages (as on [Windows][windows-huge] and [Linux][linux-huge])). With huge OS pages, it may be beneficial to set the setting
|
||||
`MIMALLOC_EAGER_COMMIT_DELAY=N` (with usually `N` as 1) to delay the initial `N` segments
|
||||
of a thread to not allocate in the huge OS pages; this prevents threads that are short lived
|
||||
|
|
@ -233,7 +237,7 @@ Overriding the standard `malloc` can be done either _dynamically_ or _statically
|
|||
|
||||
This is the recommended way to override the standard malloc interface.
|
||||
|
||||
### Linux, BSD
|
||||
### Override on Linux, BSD
|
||||
|
||||
On these ELF-based systems we preload the mimalloc shared
|
||||
library so all calls to the standard `malloc` interface are
|
||||
|
|
@ -252,7 +256,7 @@ or run with the debug version to get detailed statistics:
|
|||
> env MIMALLOC_SHOW_STATS=1 LD_PRELOAD=/usr/lib/libmimalloc-debug.so myprogram
|
||||
```
|
||||
|
||||
### MacOS
|
||||
### Override on MacOS
|
||||
|
||||
On macOS we can also preload the mimalloc shared
|
||||
library so all calls to the standard `malloc` interface are
|
||||
|
|
@ -267,9 +271,9 @@ the [shell](https://stackoverflow.com/questions/43941322/dyld-insert-libraries-i
|
|||
Note: unfortunately, at this time, dynamic overriding on macOS seems broken but it is
|
||||
actively worked on to fix this (see issue [`#50`](https://github.com/microsoft/mimalloc/issues/50)).
|
||||
|
||||
### Windows
|
||||
### Override on Windows
|
||||
|
||||
Overriding on Windows is robust but requires that you link your program explicitly with
|
||||
<span id="override_on_windows">Overriding on Windows</span> is robust but requires that you link your program explicitly with
|
||||
the mimalloc DLL and use the C-runtime library as a DLL (using the `/MD` or `/MDd` switch).
|
||||
Moreover, you need to ensure the `mimalloc-redirect.dll` (or `mimalloc-redirect32.dll`) is available
|
||||
in the same folder as the main `mimalloc-override.dll` at runtime (as it is a dependency).
|
||||
|
|
@ -280,7 +284,7 @@ To ensure the mimalloc DLL is loaded at run-time it is easiest to insert some
|
|||
call to the mimalloc API in the `main` function, like `mi_version()`
|
||||
(or use the `/INCLUDE:mi_version` switch on the linker). See the `mimalloc-override-test` project
|
||||
for an example on how to use this. For best performance on Windows with C++, it
|
||||
is highly recommended to also override the `new`/`delete` operations (by including
|
||||
is also recommended to also override the `new`/`delete` operations (by including
|
||||
[`mimalloc-new-delete.h`](https://github.com/microsoft/mimalloc/blob/master/include/mimalloc-new-delete.h) a single(!) source file in your project).
|
||||
|
||||
The environment variable `MIMALLOC_DISABLE_REDIRECT=1` can be used to disable dynamic
|
||||
|
|
@ -313,68 +317,71 @@ under your control or otherwise mixing of pointers from different heaps may occu
|
|||
|
||||
# Performance
|
||||
|
||||
Last update: 2020-01-20
|
||||
|
||||
We tested _mimalloc_ against many other top allocators over a wide
|
||||
range of benchmarks, ranging from various real world programs to
|
||||
synthetic benchmarks that see how the allocator behaves under more
|
||||
extreme circumstances.
|
||||
extreme circumstances. In our benchmark suite, _mimalloc_ outperforms other leading
|
||||
allocators (_jemalloc_, _tcmalloc_, _Hoard_, etc), and has a similar memory footprint. A nice property is that it
|
||||
does consistently well over the wide range of benchmarks.
|
||||
|
||||
In our benchmarks, _mimalloc_ always outperforms all other leading
|
||||
allocators (_jemalloc_, _tcmalloc_, _Hoard_, etc), and usually uses less
|
||||
memory (up to 25% more in the worst case). A nice property is that it
|
||||
does *consistently* well over the wide range of benchmarks.
|
||||
|
||||
Allocators are interesting as there exists no algorithm that is generally
|
||||
General memory allocators are interesting as there exists no algorithm that is
|
||||
optimal -- for a given allocator one can usually construct a workload
|
||||
where it does not do so well. The goal is thus to find an allocation
|
||||
strategy that performs well over a wide range of benchmarks without
|
||||
suffering from underperformance in less common situations (which is what
|
||||
the second half of our benchmark set tests for).
|
||||
suffering from (too much) underperformance in less common situations.
|
||||
|
||||
We show here only the results on an AMD EPYC system (Apr 2019) -- for
|
||||
specific details and further benchmarks we refer to the [technical report](https://www.microsoft.com/en-us/research/publication/mimalloc-free-list-sharding-in-action).
|
||||
As always, interpret these results with care since some benchmarks test synthetic
|
||||
or uncommon situations that may never apply to your workloads. For example, most
|
||||
allocators do not do well on `xmalloc-testN` but that includes the best
|
||||
industrial allocators like _jemalloc_ and _tcmalloc_ that are used in some of
|
||||
the world's largest systems (like Chrome or FreeBSD).
|
||||
|
||||
The benchmark suite is scripted and available separately
|
||||
We show here only an overview -- for
|
||||
more specific details and further benchmarks we refer to the
|
||||
[technical report](https://www.microsoft.com/en-us/research/publication/mimalloc-free-list-sharding-in-action).
|
||||
The benchmark suite is automated and available separately
|
||||
as [mimalloc-bench](https://github.com/daanx/mimalloc-bench).
|
||||
|
||||
|
||||
## Benchmark Results
|
||||
## Benchmark Results on 36-core Intel
|
||||
|
||||
Testing on a big Amazon EC2 instance ([r5a.4xlarge](https://aws.amazon.com/ec2/instance-types/))
|
||||
consisting of a 16-core AMD EPYC 7000 at 2.5GHz
|
||||
with 128GB ECC memory, running Ubuntu 18.04.1 with LibC 2.27 and GCC 7.3.0.
|
||||
The measured allocators are _mimalloc_ (mi),
|
||||
Google's [_tcmalloc_](https://github.com/gperftools/gperftools) (tc) used in Chrome,
|
||||
[_jemalloc_](https://github.com/jemalloc/jemalloc) (je) by Jason Evans used in Firefox and FreeBSD,
|
||||
[_snmalloc_](https://github.com/microsoft/snmalloc) (sn) by Liétar et al. \[8], [_rpmalloc_](https://github.com/rampantpixels/rpmalloc) (rp) by Mattias Jansson at Rampant Pixels,
|
||||
[_Hoard_](https://github.com/emeryberger/Hoard) by Emery Berger \[1],
|
||||
the system allocator (glibc) (based on _PtMalloc2_), and the Intel thread
|
||||
building blocks [allocator](https://github.com/intel/tbb) (tbb).
|
||||
Testing on a big Amazon EC2 compute instance
|
||||
([c5.18xlarge](https://aws.amazon.com/ec2/instance-types/#Compute_Optimized))
|
||||
consisting of a 72 processor Intel Xeon at 3GHz
|
||||
with 144GiB ECC memory, running Ubuntu 18.04.1 with LibC 2.27 and GCC 7.4.0.
|
||||
The measured allocators are _mimalloc_ (xmi, tag:v1.4.0, page reset enabled)
|
||||
and its secure build as _smi_,
|
||||
Google's [_tcmalloc_](https://github.com/gperftools/gperftools) (tc, tag:gperftools-2.7) used in Chrome,
|
||||
Facebook's [_jemalloc_](https://github.com/jemalloc/jemalloc) (je, tag:5.2.1) by Jason Evans used in Firefox and FreeBSD,
|
||||
the Intel thread building blocks [allocator](https://github.com/intel/tbb) (tbb, tag:2020),
|
||||
[rpmalloc](https://github.com/mjansson/rpmalloc) (rp,tag:1.4.0) by Mattias Jansson,
|
||||
the original scalable [_Hoard_](https://github.com/emeryberger/Hoard) (tag:3.13) allocator by Emery Berger \[1],
|
||||
the memory compacting [_Mesh_](https://github.com/plasma-umass/Mesh) (git:51222e7) allocator by
|
||||
Bobby Powers _et al_ \[8],
|
||||
and finally the default system allocator (glibc, 2.7.0) (based on _PtMalloc2_).
|
||||
|
||||
|
||||
|
||||
<img width="90%" src="doc/bench-c5-18xlarge-2020-01-20-a.svg"/>
|
||||
<img width="90%" src="doc/bench-c5-18xlarge-2020-01-20-b.svg"/>
|
||||
|
||||
Memory usage:
|
||||
Any benchmarks ending in `N` run on all processors in parallel.
|
||||
Results are averaged over 10 runs and reported relative
|
||||
to mimalloc (where 1.2 means it took 1.2× longer to run).
|
||||
The legend also contains the _overall relative score_ between the
|
||||
allocators where 100 points is the maximum if an allocator is fastest on
|
||||
all benchmarks.
|
||||
|
||||
|
||||
|
||||
The single threaded _cfrac_ benchmark by Dave Barrett is an implementation of
|
||||
continued fraction factorization which uses many small short-lived allocations.
|
||||
All allocators do well on such common usage, where _mimalloc_ is just a tad
|
||||
faster than _tcmalloc_ and
|
||||
_jemalloc_.
|
||||
|
||||
(note: the _xmalloc-testN_ memory usage should be disregarded as it
|
||||
allocates more the faster the program runs).
|
||||
|
||||
In the first five benchmarks we can see _mimalloc_ outperforms the other
|
||||
allocators moderately, but we also see that all these modern allocators
|
||||
perform well -- the times of large performance differences in regular
|
||||
workloads are over :-).
|
||||
In _cfrac_ and _espresso_, _mimalloc_ is a tad faster than _tcmalloc_ and
|
||||
_jemalloc_, but a solid 10\% faster than all other allocators on
|
||||
_espresso_. The _tbb_ allocator does not do so well here and lags more than
|
||||
20\% behind _mimalloc_. The _cfrac_ and _espresso_ programs do not use much
|
||||
memory (~1.5MB) so it does not matter too much, but still _mimalloc_ uses
|
||||
about half the resident memory of _tcmalloc_.
|
||||
|
||||
The _leanN_ program is most interesting as a large realistic and
|
||||
concurrent workload of the [Lean](https://github.com/leanprover/lean) theorem prover
|
||||
compiling its own standard library, and there is a 8% speedup over _tcmalloc_. This is
|
||||
The _leanN_ program is interesting as a large realistic and
|
||||
concurrent workload of the [Lean](https://github.com/leanprover/lean)
|
||||
theorem prover compiling its own standard library, and there is a 7%
|
||||
speedup over _tcmalloc_. This is
|
||||
quite significant: if Lean spends 20% of its time in the
|
||||
allocator that means that _mimalloc_ is 1.3× faster than _tcmalloc_
|
||||
here. (This is surprising as that is not measured in a pure
|
||||
|
|
@ -383,19 +390,23 @@ outsized improvement here because _mimalloc_ has better locality in
|
|||
the allocation which improves performance for the *other* computations
|
||||
in a program as well).
|
||||
|
||||
The _redis_ benchmark shows more differences between the allocators where
|
||||
_mimalloc_ is 14\% faster than _jemalloc_. On this benchmark _tbb_ (and _Hoard_) do
|
||||
not do well and are over 40\% slower.
|
||||
The single threaded _redis_ benchmark again show that most allocators do well on such workloads where _tcmalloc_
|
||||
did best this time.
|
||||
|
||||
The _larson_ server workload allocates and frees objects between
|
||||
many threads. Larson and Krishnan \[2] observe this
|
||||
behavior (which they call _bleeding_) in actual server applications, and the
|
||||
benchmark simulates this.
|
||||
Here, _mimalloc_ is more than 2.5× faster than _tcmalloc_ and _jemalloc_
|
||||
due to the object migration between different threads. This is a difficult
|
||||
benchmark for other allocators too where _mimalloc_ is still 48% faster than the next
|
||||
fastest (_snmalloc_).
|
||||
The _larsonN_ server benchmark by Larson and Krishnan \[2] allocates and frees between threads. They observed this
|
||||
behavior (which they call _bleeding_) in actual server applications, and the benchmark simulates this.
|
||||
Here, _mimalloc_ is quite a bit faster than _tcmalloc_ and _jemalloc_ probably due to the object migration between different threads.
|
||||
|
||||
The _mstressN_ workload performs many allocations and re-allocations,
|
||||
and migrates objects between threads (as in _larsonN_). However, it also
|
||||
creates and destroys the _N_ worker threads a few times keeping some objects
|
||||
alive beyond the life time of the allocating thread. We observed this
|
||||
behavior in many larger server applications.
|
||||
|
||||
The [_rptestN_](https://github.com/mjansson/rpmalloc-benchmark) benchmark
|
||||
by Mattias Jansson is a allocator test originally designed
|
||||
for _rpmalloc_, and tries to simulate realistic allocation patterns over
|
||||
multiple threads. Here the differences between allocators become more apparent.
|
||||
|
||||
The second benchmark set tests specific aspects of the allocators and
|
||||
shows even more extreme differences between them.
|
||||
|
|
@ -404,46 +415,62 @@ The _alloc-test_, by
|
|||
[OLogN Technologies AG](http://ithare.com/testing-memory-allocators-ptmalloc2-tcmalloc-hoard-jemalloc-while-trying-to-simulate-real-world-loads/), is a very allocation intensive benchmark doing millions of
|
||||
allocations in various size classes. The test is scaled such that when an
|
||||
allocator performs almost identically on _alloc-test1_ as _alloc-testN_ it
|
||||
means that it scales linearly. Here, _tcmalloc_, _snmalloc_, and
|
||||
_Hoard_ seem to scale less well and do more than 10% worse on the
|
||||
multi-core version. Even the best allocators (_tcmalloc_ and _jemalloc_) are
|
||||
more than 10% slower as _mimalloc_ here.
|
||||
means that it scales linearly. Here, _tcmalloc_, and
|
||||
_Hoard_ seem to scale less well and do more than 10% worse on the multi-core version. Even the best industrial
|
||||
allocators (_tcmalloc_, _jemalloc_, and _tbb_) are more than 10% slower as _mimalloc_ here.
|
||||
|
||||
The _sh6bench_ and _sh8bench_ benchmarks are
|
||||
developed by [MicroQuill](http://www.microquill.com/) as part of SmartHeap.
|
||||
In _sh6bench_ _mimalloc_ does much
|
||||
better than the others (more than 2× faster than _jemalloc_).
|
||||
better than the others (more than 1.5× faster than _jemalloc_).
|
||||
We cannot explain this well but believe it is
|
||||
caused in part by the "reverse" free-ing pattern in _sh6bench_.
|
||||
Again in _sh8bench_ the _mimalloc_ allocator handles object migration
|
||||
between threads much better and is over 36% faster than the next best
|
||||
allocator, _snmalloc_. Whereas _tcmalloc_ did well on _sh6bench_, the
|
||||
addition of object migration caused it to be almost 3 times slower
|
||||
than before.
|
||||
The _sh8bench_ is a variation with object migration
|
||||
between threads; whereas _tcmalloc_ did well on _sh6bench_, the addition of object migration causes it to be 10× slower than before.
|
||||
|
||||
The _xmalloc-testN_ benchmark by Lever and Boreham \[5] and Christian Eder,
|
||||
simulates an asymmetric workload where
|
||||
some threads only allocate, and others only free. The _snmalloc_
|
||||
allocator was especially developed to handle this case well as it
|
||||
often occurs in concurrent message passing systems (like the [Pony] language
|
||||
for which _snmalloc_ was initially developed). Here we see that
|
||||
The _xmalloc-testN_ benchmark by Lever and Boreham \[5] and Christian Eder, simulates an asymmetric workload where
|
||||
some threads only allocate, and others only free -- they observed this pattern in
|
||||
larger server applications. Here we see that
|
||||
the _mimalloc_ technique of having non-contended sharded thread free
|
||||
lists pays off as it even outperforms _snmalloc_ here.
|
||||
Only _jemalloc_ also handles this reasonably well, while the
|
||||
others underperform by a large margin.
|
||||
lists pays off as it outperforms others by a very large margin. Only _rpmalloc_ and _tbb_ also scale well on this benchmark.
|
||||
|
||||
The _cache-scratch_ benchmark by Emery Berger \[1], and introduced with the Hoard
|
||||
allocator to test for _passive-false_ sharing of cache lines. With a single thread they all
|
||||
The _cache-scratch_ benchmark by Emery Berger \[1], and introduced with
|
||||
the Hoard allocator to test for _passive-false_ sharing of cache lines.
|
||||
With a single thread they all
|
||||
perform the same, but when running with multiple threads the potential allocator
|
||||
induced false sharing of the cache lines causes large run-time
|
||||
differences, where _mimalloc_ is more than 18× faster than _jemalloc_ and
|
||||
_tcmalloc_! Crundal \[6] describes in detail why the false cache line
|
||||
sharing occurs in the _tcmalloc_ design, and also discusses how this
|
||||
induced false sharing of the cache lines can cause large run-time differences.
|
||||
Crundal \[6] describes in detail why the false cache line sharing occurs in the _tcmalloc_ design, and also discusses how this
|
||||
can be avoided with some small implementation changes.
|
||||
Only _snmalloc_ and _tbb_ also avoid the
|
||||
cache line sharing like _mimalloc_. Kukanov and Voss \[7] describe in detail
|
||||
Only the _tbb_, _rpmalloc_ and _mesh_ allocators also avoid the
|
||||
cache line sharing completely, while _Hoard_ and _glibc_ seem to mitigate
|
||||
the effects. Kukanov and Voss \[7] describe in detail
|
||||
how the design of _tbb_ avoids the false cache line sharing.
|
||||
|
||||
## On 24-core AMD Epyc
|
||||
|
||||
For completeness, here are the results on a
|
||||
[r5a.12xlarge](https://aws.amazon.com/ec2/instance-types/#Memory_Optimized) instance
|
||||
having a 48 processor AMD Epyc 7000 at 2.5GHz with 384GiB of memory.
|
||||
The results are similar to the Intel results but it is interesting to
|
||||
see the differences in the _larsonN_, _mstressN_, and _xmalloc-testN_ benchmarks.
|
||||
|
||||
<img width="90%" src="doc/bench-r5a-12xlarge-2020-01-16-a.svg"/>
|
||||
<img width="90%" src="doc/bench-r5a-12xlarge-2020-01-16-b.svg"/>
|
||||
|
||||
|
||||
## Peak Working Set
|
||||
|
||||
The following figure shows the peak working set (rss) of the allocators
|
||||
on the benchmarks (on the c5.18xlarge instance).
|
||||
|
||||
<img width="90%" src="doc/bench-c5-18xlarge-2020-01-20-rss-a.svg"/>
|
||||
<img width="90%" src="doc/bench-c5-18xlarge-2020-01-20-rss-b.svg"/>
|
||||
|
||||
Note that the _xmalloc-testN_ memory usage should be disregarded as it
|
||||
allocates more the faster the program runs. Similarly, memory usage of
|
||||
_mstressN_, _rptestN_ and _sh8bench_ can vary depending on scheduling and
|
||||
speed. Nevertheless, even though _mimalloc_ is fast on these benchmarks we
|
||||
believe the memory usage is too high and hope to improve.
|
||||
|
||||
|
||||
# References
|
||||
|
|
@ -453,14 +480,12 @@ how the design of _tbb_ avoids the false cache line sharing.
|
|||
the Ninth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-IX). Cambridge, MA, November 2000.
|
||||
[pdf](http://www.cs.utexas.edu/users/mckinley/papers/asplos-2000.pdf)
|
||||
|
||||
|
||||
- \[2] P. Larson and M. Krishnan. _Memory allocation for long-running server applications_. In ISMM, Vancouver, B.C., Canada, 1998.
|
||||
[pdf](http://citeseer.ist.psu.edu/viewdoc/download;jsessionid=5F0BFB4F57832AEB6C11BF8257271088?doi=10.1.1.45.1947&rep=rep1&type=pdf)
|
||||
- \[2] P. Larson and M. Krishnan. _Memory allocation for long-running server applications_.
|
||||
In ISMM, Vancouver, B.C., Canada, 1998. [pdf](http://citeseer.ist.psu.edu/viewdoc/download?doi=10.1.1.45.1947&rep=rep1&type=pdf)
|
||||
|
||||
- \[3] D. Grunwald, B. Zorn, and R. Henderson.
|
||||
_Improving the cache locality of memory allocation_. In R. Cartwright, editor,
|
||||
Proceedings of the Conference on Programming Language Design and Implementation, pages 177–186, New York, NY, USA, June 1993.
|
||||
[pdf](http://citeseer.ist.psu.edu/viewdoc/download?doi=10.1.1.43.6621&rep=rep1&type=pdf)
|
||||
Proceedings of the Conference on Programming Language Design and Implementation, pages 177–186, New York, NY, USA, June 1993. [pdf](http://citeseer.ist.psu.edu/viewdoc/download?doi=10.1.1.43.6621&rep=rep1&type=pdf)
|
||||
|
||||
- \[4] J. Barnes and P. Hut. _A hierarchical O(n*log(n)) force-calculation algorithm_. Nature, 324:446-449, 1986.
|
||||
|
||||
|
|
@ -468,17 +493,22 @@ how the design of _tbb_ avoids the false cache line sharing.
|
|||
In USENIX Annual Technical Conference, Freenix Session. San Diego, CA. Jun. 2000.
|
||||
Available at <https://github.com/kuszmaul/SuperMalloc/tree/master/tests>
|
||||
|
||||
- \[6] Timothy Crundal. _Reducing Active-False Sharing in TCMalloc._
|
||||
2016. <http://courses.cecs.anu.edu.au/courses/CSPROJECTS/16S1/Reports/Timothy_Crundal_Report.pdf>. CS16S1 project at the Australian National University.
|
||||
- \[6] Timothy Crundal. _Reducing Active-False Sharing in TCMalloc_. 2016. CS16S1 project at the Australian National University. [pdf](http://courses.cecs.anu.edu.au/courses/CSPROJECTS/16S1/Reports/Timothy_Crundal_Report.pdf)
|
||||
|
||||
- \[7] Alexey Kukanov, and Michael J Voss.
|
||||
_The Foundations for Scalable Multi-Core Software in Intel Threading Building Blocks._
|
||||
Intel Technology Journal 11 (4). 2007
|
||||
|
||||
- \[8] Paul Liétar, Theodore Butler, Sylvan Clebsch, Sophia Drossopoulou, Juliana Franco, Matthew J Parkinson,
|
||||
- \[8] Bobby Powers, David Tench, Emery D. Berger, and Andrew McGregor.
|
||||
_Mesh: Compacting Memory Management for C/C++_
|
||||
In Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'19), June 2019, pages 333-–346.
|
||||
|
||||
<!--
|
||||
- \[9] Paul Liétar, Theodore Butler, Sylvan Clebsch, Sophia Drossopoulou, Juliana Franco, Matthew J Parkinson,
|
||||
Alex Shamis, Christoph M Wintersteiger, and David Chisnall.
|
||||
_Snmalloc: A Message Passing Allocator._
|
||||
In Proceedings of the 2019 ACM SIGPLAN International Symposium on Memory Management, 122–135. ACM. 2019.
|
||||
-->
|
||||
|
||||
|
||||
# Contributing
|
||||
|
|
|
|||
|
|
@ -240,9 +240,9 @@ static mi_decl_noinline void _mi_free_block_mt(mi_page_t* page, mi_block_t* bloc
|
|||
// add to the delayed free list of this heap. (do this atomically as the lock only protects heap memory validity)
|
||||
mi_block_t* dfree;
|
||||
do {
|
||||
dfree = (mi_block_t*)heap->thread_delayed_free;
|
||||
dfree = mi_atomic_read_ptr_relaxed(mi_block_t,&heap->thread_delayed_free);
|
||||
mi_block_set_nextx(heap,block,dfree, heap->key[0], heap->key[1]);
|
||||
} while (!mi_atomic_cas_ptr_weak(mi_atomic_cast(void*,&heap->thread_delayed_free), block, dfree));
|
||||
} while (!mi_atomic_cas_ptr_weak(mi_block_t,&heap->thread_delayed_free, block, dfree));
|
||||
}
|
||||
|
||||
// and reset the MI_DELAYED_FREEING flag
|
||||
|
|
|
|||
18
src/arena.c
18
src/arena.c
|
|
@ -62,7 +62,7 @@ typedef uintptr_t mi_block_info_t;
|
|||
|
||||
// A memory arena descriptor
|
||||
typedef struct mi_arena_s {
|
||||
uint8_t* start; // the start of the memory area
|
||||
_Atomic(uint8_t*) start; // the start of the memory area
|
||||
size_t block_count; // size of the area in arena blocks (of `MI_ARENA_BLOCK_SIZE`)
|
||||
size_t field_count; // number of bitmap fields (where `field_count * MI_BITMAP_FIELD_BITS >= block_count`)
|
||||
int numa_node; // associated NUMA node
|
||||
|
|
@ -327,7 +327,7 @@ void* _mi_arena_alloc_aligned(size_t size, size_t alignment,
|
|||
mi_assert_internal(size <= bcount*MI_ARENA_BLOCK_SIZE);
|
||||
// try numa affine allocation
|
||||
for (size_t i = 0; i < MI_MAX_ARENAS; i++) {
|
||||
mi_arena_t* arena = (mi_arena_t*)mi_atomic_read_ptr_relaxed(mi_atomic_cast(void*, &mi_arenas[i]));
|
||||
mi_arena_t* arena = mi_atomic_read_ptr_relaxed(mi_arena_t, &mi_arenas[i]);
|
||||
if (arena==NULL) break; // end reached
|
||||
if ((arena->numa_node<0 || arena->numa_node==numa_node) && // numa local?
|
||||
(*large || !arena->is_large)) // large OS pages allowed, or arena is not large OS pages
|
||||
|
|
@ -339,7 +339,7 @@ void* _mi_arena_alloc_aligned(size_t size, size_t alignment,
|
|||
}
|
||||
// try from another numa node instead..
|
||||
for (size_t i = 0; i < MI_MAX_ARENAS; i++) {
|
||||
mi_arena_t* arena = (mi_arena_t*)mi_atomic_read_ptr_relaxed(mi_atomic_cast(void*, &mi_arenas[i]));
|
||||
mi_arena_t* arena = mi_atomic_read_ptr_relaxed(mi_arena_t, &mi_arenas[i]);
|
||||
if (arena==NULL) break; // end reached
|
||||
if ((arena->numa_node>=0 && arena->numa_node!=numa_node) && // not numa local!
|
||||
(*large || !arena->is_large)) // large OS pages allowed, or arena is not large OS pages
|
||||
|
|
@ -388,7 +388,7 @@ void _mi_arena_free(void* p, size_t size, size_t memid, bool is_committed, bool
|
|||
size_t bitmap_idx;
|
||||
mi_arena_id_indices(memid, &arena_idx, &bitmap_idx);
|
||||
mi_assert_internal(arena_idx < MI_MAX_ARENAS);
|
||||
mi_arena_t* arena = (mi_arena_t*)mi_atomic_read_ptr_relaxed(mi_atomic_cast(void*, &mi_arenas[arena_idx]));
|
||||
mi_arena_t* arena = mi_atomic_read_ptr_relaxed(mi_arena_t,&mi_arenas[arena_idx]);
|
||||
mi_assert_internal(arena != NULL);
|
||||
if (arena == NULL) {
|
||||
_mi_error_message(EINVAL, "trying to free from non-existent arena: %p, size %zu, memid: 0x%zx\n", p, size, memid);
|
||||
|
|
@ -414,15 +414,15 @@ void _mi_arena_free(void* p, size_t size, size_t memid, bool is_committed, bool
|
|||
|
||||
static bool mi_arena_add(mi_arena_t* arena) {
|
||||
mi_assert_internal(arena != NULL);
|
||||
mi_assert_internal((uintptr_t)arena->start % MI_SEGMENT_ALIGN == 0);
|
||||
mi_assert_internal((uintptr_t)mi_atomic_read_ptr_relaxed(uint8_t,&arena->start) % MI_SEGMENT_ALIGN == 0);
|
||||
mi_assert_internal(arena->block_count > 0);
|
||||
|
||||
uintptr_t i = mi_atomic_addu(&mi_arena_count,1);
|
||||
uintptr_t i = mi_atomic_increment(&mi_arena_count);
|
||||
if (i >= MI_MAX_ARENAS) {
|
||||
mi_atomic_subu(&mi_arena_count, 1);
|
||||
mi_atomic_decrement(&mi_arena_count);
|
||||
return false;
|
||||
}
|
||||
mi_atomic_write_ptr(mi_atomic_cast(void*,&mi_arenas[i]), arena);
|
||||
mi_atomic_write_ptr(mi_arena_t,&mi_arenas[i], arena);
|
||||
return true;
|
||||
}
|
||||
|
||||
|
|
@ -444,7 +444,7 @@ int mi_reserve_huge_os_pages_at(size_t pages, int numa_node, size_t timeout_msec
|
|||
_mi_warning_message("failed to reserve %zu gb huge pages\n", pages);
|
||||
return ENOMEM;
|
||||
}
|
||||
_mi_verbose_message("reserved %zu gb huge pages (of the %zu gb requested)\n", pages_reserved, pages);
|
||||
_mi_verbose_message("reserved %zu gb huge pages on numa node %i (of the %zu gb requested)\n", pages_reserved, numa_node, pages);
|
||||
|
||||
size_t bcount = mi_block_count_of_size(hsize);
|
||||
size_t fields = _mi_divide_up(bcount, MI_BITMAP_FIELD_BITS);
|
||||
|
|
|
|||
|
|
@ -147,7 +147,7 @@ static void mi_heap_collect_ex(mi_heap_t* heap, mi_collect_t collect)
|
|||
|
||||
// collect all pages owned by this thread
|
||||
mi_heap_visit_pages(heap, &mi_heap_page_collect, &collect, NULL);
|
||||
mi_assert_internal( collect != ABANDON || heap->thread_delayed_free == NULL );
|
||||
mi_assert_internal( collect != ABANDON || mi_atomic_read_ptr(mi_block_t,&heap->thread_delayed_free) == NULL );
|
||||
|
||||
// collect segment caches
|
||||
if (collect >= FORCE) {
|
||||
|
|
|
|||
14
src/memory.c
14
src/memory.c
|
|
@ -125,7 +125,7 @@ bool mi_is_in_heap_region(const void* p) mi_attr_noexcept {
|
|||
if (p==NULL) return false;
|
||||
size_t count = mi_atomic_read_relaxed(®ions_count);
|
||||
for (size_t i = 0; i < count; i++) {
|
||||
uint8_t* start = (uint8_t*)mi_atomic_read_ptr_relaxed(®ions[i].start);
|
||||
uint8_t* start = mi_atomic_read_ptr_relaxed(uint8_t,®ions[i].start);
|
||||
if (start != NULL && (uint8_t*)p >= start && (uint8_t*)p < start + MI_REGION_SIZE) return true;
|
||||
}
|
||||
return false;
|
||||
|
|
@ -133,9 +133,9 @@ bool mi_is_in_heap_region(const void* p) mi_attr_noexcept {
|
|||
|
||||
|
||||
static void* mi_region_blocks_start(const mem_region_t* region, mi_bitmap_index_t bit_idx) {
|
||||
void* start = mi_atomic_read_ptr(®ion->start);
|
||||
uint8_t* start = mi_atomic_read_ptr(uint8_t,®ion->start);
|
||||
mi_assert_internal(start != NULL);
|
||||
return ((uint8_t*)start + (bit_idx * MI_SEGMENT_SIZE));
|
||||
return (start + (bit_idx * MI_SEGMENT_SIZE));
|
||||
}
|
||||
|
||||
static size_t mi_memid_create(mem_region_t* region, mi_bitmap_index_t bit_idx) {
|
||||
|
|
@ -200,7 +200,7 @@ static bool mi_region_try_alloc_os(size_t blocks, bool commit, bool allow_large,
|
|||
mi_atomic_write(&r->reset, 0);
|
||||
*bit_idx = 0;
|
||||
mi_bitmap_claim(&r->in_use, 1, blocks, *bit_idx, NULL);
|
||||
mi_atomic_write_ptr(&r->start, start);
|
||||
mi_atomic_write_ptr(uint8_t*,&r->start, start);
|
||||
|
||||
// and share it
|
||||
mi_region_info_t info;
|
||||
|
|
@ -277,14 +277,14 @@ static void* mi_region_try_alloc(size_t blocks, bool* commit, bool* is_large, bo
|
|||
|
||||
mi_region_info_t info;
|
||||
info.value = mi_atomic_read(®ion->info);
|
||||
void* start = mi_atomic_read_ptr(®ion->start);
|
||||
uint8_t* start = mi_atomic_read_ptr(uint8_t,®ion->start);
|
||||
mi_assert_internal(!(info.x.is_large && !*is_large));
|
||||
mi_assert_internal(start != NULL);
|
||||
|
||||
*is_zero = mi_bitmap_unclaim(®ion->dirty, 1, blocks, bit_idx);
|
||||
*is_large = info.x.is_large;
|
||||
*memid = mi_memid_create(region, bit_idx);
|
||||
void* p = (uint8_t*)start + (mi_bitmap_index_bit_in_field(bit_idx) * MI_SEGMENT_SIZE);
|
||||
void* p = start + (mi_bitmap_index_bit_in_field(bit_idx) * MI_SEGMENT_SIZE);
|
||||
|
||||
// commit
|
||||
if (*commit) {
|
||||
|
|
@ -446,7 +446,7 @@ void _mi_mem_collect(mi_os_tld_t* tld) {
|
|||
} while(m == 0 && !mi_atomic_cas_weak(®ion->in_use, MI_BITMAP_FIELD_FULL, 0 ));
|
||||
if (m == 0) {
|
||||
// on success, free the whole region
|
||||
void* start = mi_atomic_read_ptr(®ions[i].start);
|
||||
uint8_t* start = mi_atomic_read_ptr(uint8_t,®ions[i].start);
|
||||
size_t arena_memid = mi_atomic_read_relaxed(®ions[i].arena_memid);
|
||||
memset(®ions[i], 0, sizeof(mem_region_t));
|
||||
// and release the whole region
|
||||
|
|
|
|||
|
|
@ -171,7 +171,7 @@ static void mi_out_buf(const char* msg, void* arg) {
|
|||
size_t n = strlen(msg);
|
||||
if (n==0) return;
|
||||
// claim space
|
||||
uintptr_t start = mi_atomic_addu(&out_len, n);
|
||||
uintptr_t start = mi_atomic_add(&out_len, n);
|
||||
if (start >= MI_MAX_DELAY_OUTPUT) return;
|
||||
// check bound
|
||||
if (start+n >= MI_MAX_DELAY_OUTPUT) {
|
||||
|
|
@ -183,7 +183,7 @@ static void mi_out_buf(const char* msg, void* arg) {
|
|||
static void mi_out_buf_flush(mi_output_fun* out, bool no_more_buf, void* arg) {
|
||||
if (out==NULL) return;
|
||||
// claim (if `no_more_buf == true`, no more output will be added after this point)
|
||||
size_t count = mi_atomic_addu(&out_len, (no_more_buf ? MI_MAX_DELAY_OUTPUT : 1));
|
||||
size_t count = mi_atomic_add(&out_len, (no_more_buf ? MI_MAX_DELAY_OUTPUT : 1));
|
||||
// and output the current contents
|
||||
if (count>MI_MAX_DELAY_OUTPUT) count = MI_MAX_DELAY_OUTPUT;
|
||||
out_buf[count] = 0;
|
||||
|
|
@ -214,14 +214,14 @@ static mi_output_fun* volatile mi_out_default; // = NULL
|
|||
static volatile _Atomic(void*) mi_out_arg; // = NULL
|
||||
|
||||
static mi_output_fun* mi_out_get_default(void** parg) {
|
||||
if (parg != NULL) { *parg = mi_atomic_read_ptr(&mi_out_arg); }
|
||||
if (parg != NULL) { *parg = mi_atomic_read_ptr(void,&mi_out_arg); }
|
||||
mi_output_fun* out = mi_out_default;
|
||||
return (out == NULL ? &mi_out_buf : out);
|
||||
}
|
||||
|
||||
void mi_register_output(mi_output_fun* out, void* arg) mi_attr_noexcept {
|
||||
mi_out_default = (out == NULL ? &mi_out_stderr : out); // stop using the delayed output buffer
|
||||
mi_atomic_write_ptr(&mi_out_arg, arg);
|
||||
mi_atomic_write_ptr(void,&mi_out_arg, arg);
|
||||
if (out!=NULL) mi_out_buf_flush(out,true,arg); // output all the delayed output now
|
||||
}
|
||||
|
||||
|
|
@ -330,7 +330,7 @@ static void mi_error_default(int err) {
|
|||
|
||||
void mi_register_error(mi_error_fun* fun, void* arg) {
|
||||
mi_error_handler = fun; // can be NULL
|
||||
mi_atomic_write_ptr(&mi_error_arg, arg);
|
||||
mi_atomic_write_ptr(void,&mi_error_arg, arg);
|
||||
}
|
||||
|
||||
void _mi_error_message(int err, const char* fmt, ...) {
|
||||
|
|
@ -341,7 +341,7 @@ void _mi_error_message(int err, const char* fmt, ...) {
|
|||
va_end(args);
|
||||
// and call the error handler which may abort (or return normally)
|
||||
if (mi_error_handler != NULL) {
|
||||
mi_error_handler(err, mi_atomic_read_ptr(&mi_error_arg));
|
||||
mi_error_handler(err, mi_atomic_read_ptr(void,&mi_error_arg));
|
||||
}
|
||||
else {
|
||||
mi_error_default(err);
|
||||
|
|
|
|||
8
src/os.c
8
src/os.c
|
|
@ -396,20 +396,20 @@ static void* mi_unix_mmap(void* addr, size_t size, size_t try_alignment, int pro
|
|||
// On 64-bit systems, we can do efficient aligned allocation by using
|
||||
// the 4TiB to 30TiB area to allocate them.
|
||||
#if (MI_INTPTR_SIZE >= 8) && (defined(_WIN32) || (defined(MI_OS_USE_MMAP) && !defined(MAP_ALIGNED)))
|
||||
static volatile _Atomic(intptr_t) aligned_base;
|
||||
static volatile _Atomic(uintptr_t) aligned_base;
|
||||
|
||||
// Return a 4MiB aligned address that is probably available
|
||||
static void* mi_os_get_aligned_hint(size_t try_alignment, size_t size) {
|
||||
if (try_alignment == 0 || try_alignment > MI_SEGMENT_SIZE) return NULL;
|
||||
if ((size%MI_SEGMENT_SIZE) != 0) return NULL;
|
||||
intptr_t hint = mi_atomic_add(&aligned_base, size);
|
||||
uintptr_t hint = mi_atomic_add(&aligned_base, size);
|
||||
if (hint == 0 || hint > ((intptr_t)30<<40)) { // try to wrap around after 30TiB (area after 32TiB is used for huge OS pages)
|
||||
intptr_t init = ((intptr_t)4 << 40); // start at 4TiB area
|
||||
uintptr_t init = ((uintptr_t)4 << 40); // start at 4TiB area
|
||||
#if (MI_SECURE>0 || MI_DEBUG==0) // security: randomize start of aligned allocations unless in debug mode
|
||||
uintptr_t r = _mi_heap_random_next(mi_get_default_heap());
|
||||
init = init + (MI_SEGMENT_SIZE * ((r>>17) & 0xFFFFF)); // (randomly 20 bits)*4MiB == 0 to 4TiB
|
||||
#endif
|
||||
mi_atomic_cas_strong(mi_atomic_cast(uintptr_t, &aligned_base), init, hint + size);
|
||||
mi_atomic_cas_strong(&aligned_base, init, hint + size);
|
||||
hint = mi_atomic_add(&aligned_base, size); // this may still give 0 or > 30TiB but that is ok, it is a hint after all
|
||||
}
|
||||
if (hint%try_alignment != 0) return NULL;
|
||||
|
|
|
|||
16
src/page.c
16
src/page.c
|
|
@ -131,7 +131,7 @@ void _mi_page_use_delayed_free(mi_page_t* page, mi_delayed_t delay, bool overrid
|
|||
tfreex = mi_tf_set_delayed(tfree, delay);
|
||||
old_delay = mi_tf_delayed(tfree);
|
||||
if (mi_unlikely(old_delay == MI_DELAYED_FREEING)) {
|
||||
// mi_atomic_yield(); // delay until outstanding MI_DELAYED_FREEING are done.
|
||||
mi_atomic_yield(); // delay until outstanding MI_DELAYED_FREEING are done.
|
||||
tfree = mi_tf_set_delayed(tfree, MI_NO_DELAYED_FREE); // will cause CAS to busy fail
|
||||
}
|
||||
else if (delay == old_delay) {
|
||||
|
|
@ -281,11 +281,11 @@ static mi_page_t* mi_page_fresh(mi_heap_t* heap, mi_page_queue_t* pq) {
|
|||
(put there by other threads if they deallocated in a full page)
|
||||
----------------------------------------------------------- */
|
||||
void _mi_heap_delayed_free(mi_heap_t* heap) {
|
||||
// take over the list
|
||||
// take over the list (note: no atomic exchange is it is often NULL)
|
||||
mi_block_t* block;
|
||||
do {
|
||||
block = (mi_block_t*)heap->thread_delayed_free;
|
||||
} while (block != NULL && !mi_atomic_cas_ptr_weak(mi_atomic_cast(void*,&heap->thread_delayed_free), NULL, block));
|
||||
block = mi_atomic_read_ptr_relaxed(mi_block_t,&heap->thread_delayed_free);
|
||||
} while (block != NULL && !mi_atomic_cas_ptr_weak(mi_block_t,&heap->thread_delayed_free, NULL, block));
|
||||
|
||||
// and free them all
|
||||
while(block != NULL) {
|
||||
|
|
@ -296,9 +296,9 @@ void _mi_heap_delayed_free(mi_heap_t* heap) {
|
|||
// reset the delayed_freeing flag; in that case delay it further by reinserting.
|
||||
mi_block_t* dfree;
|
||||
do {
|
||||
dfree = (mi_block_t*)heap->thread_delayed_free;
|
||||
dfree = mi_atomic_read_ptr_relaxed(mi_block_t,&heap->thread_delayed_free);
|
||||
mi_block_set_nextx(heap, block, dfree, heap->key[0], heap->key[1]);
|
||||
} while (!mi_atomic_cas_ptr_weak(mi_atomic_cast(void*,&heap->thread_delayed_free), block, dfree));
|
||||
} while (!mi_atomic_cas_ptr_weak(mi_block_t,&heap->thread_delayed_free, block, dfree));
|
||||
}
|
||||
block = next;
|
||||
}
|
||||
|
|
@ -740,14 +740,14 @@ void _mi_deferred_free(mi_heap_t* heap, bool force) {
|
|||
heap->tld->heartbeat++;
|
||||
if (deferred_free != NULL && !heap->tld->recurse) {
|
||||
heap->tld->recurse = true;
|
||||
deferred_free(force, heap->tld->heartbeat, mi_atomic_read_ptr_relaxed(&deferred_arg));
|
||||
deferred_free(force, heap->tld->heartbeat, mi_atomic_read_ptr_relaxed(void,&deferred_arg));
|
||||
heap->tld->recurse = false;
|
||||
}
|
||||
}
|
||||
|
||||
void mi_register_deferred_free(mi_deferred_free_fun* fn, void* arg) mi_attr_noexcept {
|
||||
deferred_free = fn;
|
||||
mi_atomic_write_ptr(&deferred_arg, arg);
|
||||
mi_atomic_write_ptr(void,&deferred_arg, arg);
|
||||
}
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -853,7 +853,7 @@ static void mi_segments_prepend_abandoned(mi_segment_t* first) {
|
|||
if (first == NULL) return;
|
||||
|
||||
// first try if the abandoned list happens to be NULL
|
||||
if (mi_atomic_cas_ptr_weak(mi_atomic_cast(void*, &abandoned), first, NULL)) return;
|
||||
if (mi_atomic_cas_ptr_weak(mi_segment_t, &abandoned, first, NULL)) return;
|
||||
|
||||
// if not, find the end of the list
|
||||
mi_segment_t* last = first;
|
||||
|
|
@ -864,9 +864,9 @@ static void mi_segments_prepend_abandoned(mi_segment_t* first) {
|
|||
// and atomically prepend
|
||||
mi_segment_t* next;
|
||||
do {
|
||||
next = (mi_segment_t*)mi_atomic_read_ptr_relaxed(mi_atomic_cast(void*, &abandoned));
|
||||
next = mi_atomic_read_ptr_relaxed(mi_segment_t,&abandoned);
|
||||
last->abandoned_next = next;
|
||||
} while (!mi_atomic_cas_ptr_weak(mi_atomic_cast(void*, &abandoned), first, next));
|
||||
} while (!mi_atomic_cas_ptr_weak(mi_segment_t, &abandoned, first, next));
|
||||
}
|
||||
|
||||
static void mi_segment_abandon(mi_segment_t* segment, mi_segments_tld_t* tld) {
|
||||
|
|
@ -918,9 +918,9 @@ void _mi_segment_page_abandon(mi_page_t* page, mi_segments_tld_t* tld) {
|
|||
|
||||
bool _mi_segment_try_reclaim_abandoned( mi_heap_t* heap, bool try_all, mi_segments_tld_t* tld) {
|
||||
// To avoid the A-B-A problem, grab the entire list atomically
|
||||
mi_segment_t* segment = (mi_segment_t*)mi_atomic_read_ptr_relaxed(mi_atomic_cast(void*, &abandoned)); // pre-read to avoid expensive atomic operations
|
||||
mi_segment_t* segment = mi_atomic_read_ptr_relaxed(mi_segment_t,&abandoned); // pre-read to avoid expensive atomic operations
|
||||
if (segment == NULL) return false;
|
||||
segment = (mi_segment_t*)mi_atomic_exchange_ptr(mi_atomic_cast(void*, &abandoned), NULL);
|
||||
segment = mi_atomic_exchange_ptr(mi_segment_t, &abandoned, NULL);
|
||||
if (segment == NULL) return false;
|
||||
|
||||
// we got a non-empty list
|
||||
|
|
|
|||
22
src/stats.c
22
src/stats.c
|
|
@ -26,13 +26,13 @@ static void mi_stat_update(mi_stat_count_t* stat, int64_t amount) {
|
|||
if (mi_is_in_main(stat))
|
||||
{
|
||||
// add atomically (for abandoned pages)
|
||||
mi_atomic_add64(&stat->current,amount);
|
||||
mi_atomic_addi64(&stat->current,amount);
|
||||
if (stat->current > stat->peak) stat->peak = stat->current; // racing.. it's ok
|
||||
if (amount > 0) {
|
||||
mi_atomic_add64(&stat->allocated,amount);
|
||||
mi_atomic_addi64(&stat->allocated,amount);
|
||||
}
|
||||
else {
|
||||
mi_atomic_add64(&stat->freed, -amount);
|
||||
mi_atomic_addi64(&stat->freed, -amount);
|
||||
}
|
||||
}
|
||||
else {
|
||||
|
|
@ -50,8 +50,8 @@ static void mi_stat_update(mi_stat_count_t* stat, int64_t amount) {
|
|||
|
||||
void _mi_stat_counter_increase(mi_stat_counter_t* stat, size_t amount) {
|
||||
if (mi_is_in_main(stat)) {
|
||||
mi_atomic_add64( &stat->count, 1 );
|
||||
mi_atomic_add64( &stat->total, (int64_t)amount );
|
||||
mi_atomic_addi64( &stat->count, 1 );
|
||||
mi_atomic_addi64( &stat->total, (int64_t)amount );
|
||||
}
|
||||
else {
|
||||
stat->count++;
|
||||
|
|
@ -70,17 +70,17 @@ void _mi_stat_decrease(mi_stat_count_t* stat, size_t amount) {
|
|||
// must be thread safe as it is called from stats_merge
|
||||
static void mi_stat_add(mi_stat_count_t* stat, const mi_stat_count_t* src, int64_t unit) {
|
||||
if (stat==src) return;
|
||||
mi_atomic_add64( &stat->allocated, src->allocated * unit);
|
||||
mi_atomic_add64( &stat->current, src->current * unit);
|
||||
mi_atomic_add64( &stat->freed, src->freed * unit);
|
||||
mi_atomic_addi64( &stat->allocated, src->allocated * unit);
|
||||
mi_atomic_addi64( &stat->current, src->current * unit);
|
||||
mi_atomic_addi64( &stat->freed, src->freed * unit);
|
||||
// peak scores do not work across threads..
|
||||
mi_atomic_add64( &stat->peak, src->peak * unit);
|
||||
mi_atomic_addi64( &stat->peak, src->peak * unit);
|
||||
}
|
||||
|
||||
static void mi_stat_counter_add(mi_stat_counter_t* stat, const mi_stat_counter_t* src, int64_t unit) {
|
||||
if (stat==src) return;
|
||||
mi_atomic_add64( &stat->total, src->total * unit);
|
||||
mi_atomic_add64( &stat->count, src->count * unit);
|
||||
mi_atomic_addi64( &stat->total, src->total * unit);
|
||||
mi_atomic_addi64( &stat->count, src->count * unit);
|
||||
}
|
||||
|
||||
// must be thread safe as it is called from stats_merge
|
||||
|
|
|
|||
|
|
@ -13,7 +13,7 @@ if (NOT CMAKE_BUILD_TYPE)
|
|||
endif()
|
||||
|
||||
# Import mimalloc (if installed)
|
||||
find_package(mimalloc 1.4 REQUIRED NO_SYSTEM_ENVIRONMENT_PATH)
|
||||
find_package(mimalloc 1.5 REQUIRED NO_SYSTEM_ENVIRONMENT_PATH)
|
||||
message(STATUS "Found mimalloc installed at: ${MIMALLOC_TARGET_DIR}")
|
||||
|
||||
# overriding with a dynamic library
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue