Implementation of FIR and IIR filters optimized for SIMD processing

Showcase of parallelization technologies using sequence alignment algorithms

A collection of AVX/FMA SGEMM routines for small matrices, plus benchmark

C++でマイナンバーのチェックデジットを計算する

SIMD Util is header files designed for SIMD development

testing an SIMD api from VecCore VecGeom, using backends of UMESIMD, VC for Avx Avx2,AVX512, SSE, SSE2

A simple parallel implementation of Smith Waterman sequence alignment algorithm.

fast 2D convolution implementation benchmark

UME::SIMD A library for explicit simd vectorization.

Triangle rasterization routines accelerated by SSE and AVX

Benchmark utility with parallelization capabilities

Sharpness metric

CS480F at Binghamton University with Dr. Ken Chiu

Optimizing Cholesky Factorization with Intel AVX Instructions

Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.

library for optimized rgb to/from yuv convertions.

Simple code to test AVX type of development

SIMD-Search experiments and tests

Accelerated image histogram calculation using Microsoft Macro Assembler x86-64 and Qt.

Scientific Computing - High-Performance Computing Practical Course in WS18-19 at TUM