High-efficiency floating-point neural network inference operators for mobile, server, and Web
-
Updated
May 29, 2024 - C
High-efficiency floating-point neural network inference operators for mobile, server, and Web
hipBLASLt is a library that provides general matrix-matrix operations with a flexible API and extends functionalities beyond a traditional BLAS library
A Java program that implements the product between matrices using threads. An assignment from OS teaching @unipv.
DBCSR: Distributed Block Compressed Sparse Row matrix library
Stretching GPU performance for GEMMs and tensor contractions.
🧬 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
Problemario 9 - Programacion 1
A software library containing BLAS functions written in OpenGL fragment shaders
Matrix multiplication program written in Python, with asymptotic visualization in R
BLAS-like Library Instantiation Software Framework
Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm
C++ Library for matrices. Supports linear algebra formulas and functions
Complete codes of all Data Structures and algorithms subject
This is a simple project that shows how to multiply two 8x8 matrixes in Verilog.
EstiMate 🦉: A fast and accurate modelcounter tool for estimating the number of models for LTL formulas using transfer matrices.
Fast Clojure Matrix Library
Add a description, image, and links to the matrix-multiplication topic page so that developers can more easily learn about it.
To associate your repository with the matrix-multiplication topic, visit your repo's landing page and select "manage topics."