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Vc - SIMD Vector Classes for C++

  •    C++

Recent generations of CPUs, and GPUs in particular, require data-parallel codes for full efficiency. Data parallelism requires that the same sequence of operations is applied to different input data. CPUs and GPUs can thus reduce the necessary hardware for instruction decoding and scheduling in favor of more arithmetic and logic units, which execute the same instructions synchronously. On CPU architectures this is implemented via SIMD registers and instructions. A single SIMD register can store N values and a single SIMD instruction can execute N operations on those values. On GPU architectures N threads run in perfect sync, fed by a single instruction decoder/scheduler. Each thread has local memory and a given index to calculate the offsets in memory for loads and stores. Current C++ compilers can do automatic transformation of scalar codes to SIMD instructions (auto-vectorization). However, the compiler must reconstruct an intrinsic property of the algorithm that was lost when the developer wrote a purely scalar implementation in C++. Consequently, C++ compilers cannot vectorize any given code to its most efficient data-parallel variant. Especially larger data-parallel loops, spanning over multiple functions or even translation units, will often not be transformed into efficient SIMD code.

despacer - C library to remove white space from strings as fast as possible

  •    C

We want to remove the space (' ') and the line feeds characters ('\n', '\r') from a string as fast as possible. To avoid unnecessary allocations, we wish to do the processing in-place.Note that clang seems to give better results than gcc.

sliceslice-rs - A fast implementation of single-pattern substring search using SIMD acceleration.

  •    Rust

A fast implementation of single-pattern substring search using SIMD acceleration, based on the work presented by Wojciech Muła. For a fast multi-pattern substring search algorithm, see instead the aho-corasick crate. We ran the i386 benchmarks on an HP EliteDesk 800 G2 Tower PC with an Intel Core i7-6700 Processor @ 3.40GHz, 16GB of RAM and 512GB of disk space, running Ubuntu 20.04.1 LTS, gcc 9.3.0 and Rust 1.46.0.









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