sleef
xbyak_aarch64
sleef | xbyak_aarch64 | |
---|---|---|
17 | 5 | |
590 | 175 | |
- | 0.0% | |
8.1 | 7.0 | |
9 days ago | 5 months ago | |
C | C++ | |
Boost Software License 1.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sleef
-
The Case of the Missing SIMD Code
I'm the main author of Highway, so I have some opinions :D Number of operations/platforms supported are important criteria.
A hopefully unbiased commentary:
Simde allows you to take existing nonportable intrinsics and get them to run on another platform. This is useful when you have a bunch of existing code and tight deadlines. The downside is less than optimal performance - a portable abstraction can be more efficient than forcing one platform to exactly match the semantics of another. Although a ton of effort has gone into Simde, sometimes it also resorts to autovectorization which may or may not work.
Eigen and SLEEF are mostly math-focused projects that also have a portability layer. SLEEF is designed for C and thus has type suffixes which are rather verbose, see https://github.com/shibatch/sleef/blob/master/src/libm/sleef... But it offers a complete (more so than Highway's) libm.
-
Does anyone have any interest in my deep-learning framework?
But the other part about SIMD: I'm unsure if mgl-mat uses SIMD for transcendental functions or even for something like element-wise multiplication and division*. SIMD easily provides a speed-boost of 4-8 times which numpy uses. Libraries like sleef have been put to use by many.
- `constexpr` what?
- Advice on porting glibc trig functions to SIMD
-
SIMD intrinsics and the possibility of a standard library solution
Highway and Agner's VectorClass also have math functions. And SLEEF should definitely be mentioned.
-
Portable SIMD library
"SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT" - https://github.com/shibatch/sleef
- SIMD Library for Evaluating Elementary Functions, Vectorized Libm and DFT
-
C library for multiple-precision floating-point arithmetic with correct rounding
Not mentioned in the list of users is SLEEF (https://github.com/shibatch/sleef), which provides fast approximations for various elementary functions. (It generates coefficients for the approximations with mpfr)
SLEEF itself is used by PyTorch.
-
How to speed up array writes?
If you are looking at floats, there's https://sleef.org
-
Benchmarking sine approximations and interpolators.
It would be interesting to see SLEEF added in the benchmarks.
xbyak_aarch64
-
Docker Environment for ARM SVE
You can use the ARM SVE instructions in two different ways. The first is to use intrinsic functions. ARM provides intrinsic function of C language, which is called the Arm C Language Extensions (ACLEs). Another way is to use the ARM SVE instructions directly. However, it is hard to write assemblies directly, so I recommend using a JIT assembler called Xbyak. Xbyak is a JIT assembler developed by MITSUNARI Shigeo. Xbyak was initially developed for x86, but was also released for AArch64.
-
NooDS - A Nintendo DS emulator
Gonna keep an eye on this. The code base looks pretty nice and modern and I think a good speedup would be to recompile the ARM code into x86 using something like xbyak or xbyak_aarch64. Gonna keep an eye on this one and maybe even contribute sometime!
- Xbyak_aarch64: JIT assembler for AArch64 CPUs in C++
What are some alternatives?
nsimd - Agenium Scale vectorization library for CPUs and GPUs
xbyak - a JIT assembler for x86(IA-32)/x64(AMD64, x86-64) MMX/SSE/SSE2/SSE3/SSSE3/SSE4/FPU/AVX/AVX2/AVX-512 by C++ header
yenten-arm-miner-yespowerr16 - ARM 64 CPU miner for Yespower variant algorithms
xbyak_aarch64_handson - Tutorials for ARM SVE on Docker
sb-simd - A convenient SIMD interface for SBCL.
Atmosphere - Atmosphère is a work-in-progress customized firmware for the Nintendo Switch.
vector-libm
intel-extension-for-transformers - ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
crlibm - A mirror of the CRLibm project from INRIA Forge
NooDS - A (hopefully!) speedy DS emulator
rlibm-32 - RLibm for 32-bit representations (float and posit32)
mgba - mGBA Game Boy Advance Emulator