md5-optimisation
oneDNN
| md5-optimisation | oneDNN | |
|---|---|---|
| 2 | 5 | |
| 97 | 3,474 | |
| - | 2.1% | |
| 2.8 | 10.0 | |
| about 1 year ago | about 12 hours ago | |
| C++ | C++ | |
| - | Apache License 2.0 |
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md5-optimisation
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The least interesting part about AVX-512 is the 512 bits vector width
Very useful. In fact, it speeds up a single instance (i.e. not taking advantage of SIMD) of MD5 by 20%: https://github.com/animetosho/md5-optimisation#x86-avx512-vl...
- MD5 Optimisation Tricks: Beating OpenSSL’s Hand-Tuned Assembly
oneDNN
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Blaze: A High Performance C++ Math library
If you are talking about non-small matrix multiplication in MKL, is now in opensource as a part of oneDNN. It literally has exactly the same code, as in MKL (you can see this by inspecting constants or doing high-precision benchmarks).
For small matmul there is libxsmm. It may take tremendous efforts make something faster than oneDNN and libxsmm, as jit-based approach of https://github.com/oneapi-src/oneDNN/blob/main/src/gpu/jit/g... is too flexible: if someone finds a better sequence, oneDNN can reuse it without major change of design.
But MKL is not limited to matmul, I understand it...
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Arc & Deep Learning Frameworks
For completeness, it looks like this question was posted to the oneDNN GitHub repo and the response was to stay tune for updates.
- Keeping POWER relevant in the open source world
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Intel oneDNN 2.5 released with experimental RISC-V support
From the release note of oneDNN v2.5:
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Is gpu hardware tied to cpu ISA ?
Intel are trying to support their oneAPI compute framework on Arm and IBM POWER and z/Architecture (s390x) but since they ever released only a single discrete GPU with the Xe architecture it's unclear whether they'll support Xe GPU compute on e.g. ARM https://github.com/oneapi-src/oneDNN
What are some alternatives?
kfr - Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
xsimd - C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))
CTranslate2 - Fast inference engine for Transformer models
oneDPL - oneAPI DPC++ Library (oneDPL) https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/dpc-library.html
highway - Highway - A Modern Javascript Transitions Manager
asmjit - Low-latency machine code generation
librealsense - Intel® RealSense™ SDK
Reloaded-II - Next Generation Universal .NET Core Powered Mod Loader compatible with anything X86, X64.
faasm - High-performance stateful serverless runtime based on WebAssembly
peakperf - Achieve peak performance on x86 CPUs and NVIDIA GPUs
openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference