argminmax | Vc | |
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3 | 6 | |
52 | 1,420 | |
- | 1.1% | |
5.5 | 6.1 | |
22 days ago | 3 months ago | |
Rust | C++ | |
MIT License | BSD 3-clause "New" or "Revised" License |
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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.
argminmax
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[P] tsdownsample: extremely fast time series downsampling for visualization
Fast: leverages the optimized argminmax crate which is SIMD accelerated with runtime feature detection (matches or even outperforms numpy's speed)
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tsdownsample: extremely fast time series downsampling written in Rust
tsdownsample brings highly optimized time series downsampling to Python, by using the SIMD optimized argminmax crate - which matches or even outperforms numpy's speed (300x faster for f16). Through using runtime feature set detection, this crate selects the most optimal SIMD implementation for the current CPU (supports SSE, AVX(2), AVX512, NEON).
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My first rust project: argminmax - efficient argmin & argmax with SIMD avx2
Code: https://github.com/jvdd/argminmax
Vc
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The Bitter Truth: Python 3.11 vs Cython vs C++ Performance for Simulations
Most high-performance math libraries perform a lot of vectorization (Eigen, etc) under the hood. And you've got stuff like Klein, Vc (which is reminiscent of std::valarray), etc. Then there's OpenMP's #pragma omp simd (assuming version 4.0 or greater).
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John "God" Carmack: C++ with a C flavor is still the best (also: Python performance "keeps hitting me in the face")
I personally like the ideas in Parallelism v2 TS, which is available in for libstdc++ 11 onwards. The reference implementation is a library named Vc (afaik Vc is the most popular SIMD library for C++), and this has also been implemented in recent versions of HPX.
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SPO600 project part 2
First of all about our project, I previously decided to work with VC library.https://github.com/VcDevel/Vc
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SPO600 project part 1
I've decided to switch to something better, and after a few hours of searching, I found this repository: NSIMD https://github.com/agenium-scale/nsimd FastDifferentialCoding https://github.com/lemire/FastDifferentialCoding VS https://github.com/VcDevel/Vc XSIMD https://github.com/xtensor-stack/xsimd
- Vc 1.4.2 released: portable SIMD programming for C++
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All C++20 core language features with examples
> - Waiting for Cross-Platform standardized SIMD vector datatypes
which language has standardized SIMD vector datatypes ? most languages don't even have any ability to express SIMD while in C++ I can just use Vc (https://github.com/VcDevel/Vc), nsimd (https://github.com/agenium-scale/nsimd) or one of the other ton of alternatives, and have stuff that JustWorksTM on more architectures than most languages even support
- Using nonstandard extensions, libraries or home-baked solutions to run computations in parallel on many cores or on different processors than the CPU
what are the other native languages with a standardized memory model for atomics ? and, what's the problem with using libraries ? it's not like you're going to use C# or Java's built-in threadpools if you are doing any serious work, no ? Do they even have something as easy to use as https://github.com/taskflow/taskflow ?
- Debugging cross-platform code using couts, cerrs and printfs
because people never use console.log in JS or System.println in C# maybe ?
- Forced to use boost for even quite elementary operations on std::strings.
can you point to non-trivial java projects that do not use Apache Commons ? Also, the boost string algorithms are header-only so you will end up with exactly the same binaries that if it was in some std::string_algorithms namespace:
https://gcc.godbolt.org/z/43vKadbde
What are some alternatives?
simd-adler32 - A SIMD-accelerated Adler-32 hash algorithm implementation.
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
tsdownsample - High-performance time series downsampling algorithms for visualization
xsimd - C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))
Eigen
blaze
MIRACL - MIRACL Cryptographic SDK: Multiprecision Integer and Rational Arithmetic Cryptographic Library is a C software library that is widely regarded by developers as the gold standard open source SDK for elliptic curve cryptography (ECC).
GLM - OpenGL Mathematics (GLM)
OpenBLAS - OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
TinyExpr - tiny recursive descent expression parser, compiler, and evaluation engine for math expressions
Klein - P(R*_{3, 0, 1}) specialized SIMD Geometric Algebra Library
highway - Highway - A Modern Javascript Transitions Manager