BLAS-like Library Instantiation Software Framework

High-efficiency floating-point neural network inference operators for mobile, server, and Web

A Python-based Rubik's Cube simulator and visualizer using matrix algebra for efficient representation, manipulation, and visualization of the cube's state. Includes a group theory approach to cube operations and a proof-of-concept visualization module using Matplotlib.

Stretching GPU performance for GEMMs and tensor contractions.

A tiny, zero-deps WASM-accelerated tensor library for JavaScript.

A vector, quaternion, and matrix single-file public domain library for C99

hipBLASLt is a library that provides general matrix-matrix operations with a flexible API and extends functionalities beyond a traditional BLAS library

Proyectos e implementacion de bibliotecas de la materia Programacion (2009).

Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Proyecto 4 - Estructuras de Datos

A collection of algorithms and data structures

It's quite funny how poorly implemented this is. Libraries that do these operations usually work in highly parallelized environments (sometimes entirely on the GPU). But the beauty of doing it manually is the learning curve. (Vec Vec double heap indirections are a crime against humanity)

Linear Algebra library in C++

A Java program that implements the product between matrices using threads. An assignment from OS teaching @unipv.

Matrix multiplication on GPUs for matrices stored on a CPU. Similar to cublasXt, but ported to both NVIDIA and AMD GPUs.

DBCSR: Distributed Block Compressed Sparse Row matrix library

🧬 Search-Based approach to repair unrealisable Linear-Time Temporal Logic (LTL) specifications.

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

Tuned OpenCL BLAS