Python CPU Feature Detection
Project description
CPUFeature
CPUFeature is a tool for detecting CPU features on x86/AMD64 processors. In particular it is engineered to have very low overhead on import (~ 1 ms) and to detect features that are often important in high-performance computing where hybrid combinations of multi-threading and multi-processing are used. Detects CPU features such as:
- SIMD instruction support
- Number of cores (both virtual and physical)
- Number of CPUs on the motherboard.
- Cache sizes
It is written in C99. It supports Windows with MSVC and Linux with GCC/LLVM compilers. MacOSX should also work with GCC/LLVM. CPUFeature is licensed under Creative Commons Zero, so it may be freely incorporated as a submodule into your own projects.
CPUFeature is considered to be in an alpha state because while it is tested via GitHub Actions on a variety of platforms, we expect edge cases to appear.
Example
The module generates a dict
called CPUFeature
on import which contains useful information regarding optimization and compilation for the host. For my Intel i7-7820X Skylake CPU, it generates the following info:
> python -c "import cpufeature; cpufeature.print_features()"
=== CPU FEATURES ===
VendorId : GenuineIntel
num_virtual_cores : 16
num_physical_cores : 8
num_threads_per_core : 2
num_cpus : 1
cache_line_size : 64
cache_L1_size : 32768
cache_L2_size : 1048576
cache_L3_size : 11534336
OS_x64 : True
OS_AVX : True
OS_AVX512 : True
MMX : True
x64 : True
ABM : True
RDRAND : True
BMI1 : True
BMI2 : True
ADX : True
PREFETCHWT1 : False
MPX : True
SSE : True
SSE2 : True
SSE3 : True
SSSE3 : True
SSE4.1 : True
SSE4.2 : True
SSE4.a : False
AES : True
SHA : False
AVX : True
XOP : False
FMA3 : True
FMA4 : False
AVX2 : True
AVX512f : True
AVX512pf : False
AVX512er : False
AVX512cd : True
AVX512vl : True
AVX512bw : True
AVX512dq : True
AVX512ifma : False
AVX512vbmi : False
AVX512vbmi2 : False
AVX512vnni : False
Notes on Fields
- If
num_threads_per_core > 1
likely Intel Hyperthreading (or equivalent architecture) is present. The physical core count may be unreliable in virtual environments. - Cache sizes are in bytes.
- For AVX2, check
AVX2
andOS_AVX2
. - For AVX512, check
AVX512f
andOS_AVX512
. Python support for AVX512 instructions is highly limited outside of compilation with ICC. MSVC does not have AVX512 support until MSVC2017.
Authors
- Based on FeatureDetector by Alexander Yee (https://github.com/Mysticial/FeatureDetector).
- Ported to Python by Robert A. McLeod, who added detection of cores, and cache sizes.
drfinkus
contributed to AMD support.WidgetA
contributed support for compilation with Clang.
Release Notes
0.2.1
- Supported Python versions are now 3.8 - 3.11.
- Added tests for AVX512vbmi2 and AVX512vnni.
0.2.0
- Added pre-build wheels via
cibuildwheels
and GitHub Actions for Python 3.6-3.9 on Linux/Windows/MacOSX. - Added support for AMD processors.
- Added a script for
valgrind
to more easier locate problems when the module crashes.
0.1.1
- Fixes for compilation with
clang
.
0.1.0
- Added detection of processors, cores, and cache sizes
- Created Python wrapper around FeatureDetector
- Reduced FeatureDetector to C99 for better cross-platform compatibility
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