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Accelerate SHA256 computations in pure Go for both Intel (AVX2, AVX, SSE) as well as ARM (arm64) platforms.This package is designed as a drop-in replacement for crypto/sha256. For Intel CPUs it has three flavors for AVX2, AVX and SSE whereby the fastest method is automatically chosen depending on CPU capabilities. For ARM CPUs with the Cryptography Extensions advantage is taken of the SHA2 instructions resulting in a massive performance improvement.
A cross-platform, cross-compiler, cross-CPU C header library for programming with SIMD instruction sets. X86 (MMX/SSE/SSE2) GCC and MSVC, PPC Altivec GCC, WMMX ARM GCC, and software emulated SIMD are supported.
ArchAssembler is a .net (c#) library providing the functionalities of an assembler. Target architecture is x86/x64 with streaming SIMD extensions. Target executable file format is Windows Portable Executable (PE).
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.
A research library with integer compression schemes. It is broadly applicable to the compression of arrays of 32-bit integers where most integers are small. The library seeks to exploit SIMD instructions (SSE) whenever possible.This library can decode at least 4 billions of compressed integers per second on most desktop or laptop processors. That is, it can decompress data at a rate of 15 GB/s. This is significantly faster than generic codecs like gzip, LZO, Snappy or LZ4.
As the name suggests, this is a C/C++ library for fast compression and intersection of lists of sorted integers using SIMD instructions. The library focuses on innovative techniques and very fast schemes, with particular attention to differential coding. It introduces new SIMD intersections schemes such as SIMD Galloping.This library can decode at least 4 billions of compressed integers per second on most desktop or laptop processors. That is, it can decompress data at a rate of 15 GB/s. This is significantly faster than generic codecs like gzip, LZO, Snappy or LZ4.
These functions compute fast successive differences, and recover the original values from the fast successive differences (i.e., they compute a prefix sum) using fast SIMD instructions.They can be useful as part of compressed index.
Pure Go implementation of BLAKE2b using SIMD optimizations.This package was initially based on the pure go BLAKE2b implementation of Dmitry Chestnykh and merged with the (cgo dependent) AVX optimized BLAKE2 implementation (which in turn is based on the official implementation. It does so by using Go's Assembler for amd64 architectures with a golang only fallback for other architectures.