Algebraic enhancements for GEMM & AI accelerators

Matrix multiplication algorithms implemented in python.

Strassen's Algorithm for Tensor Contraction

Several common methods of matrix multiplication are implemented on CPU and Nvidia GPU using C++11 and CUDA.

Generating Families of Practical Fast Matrix Multiplication Algorithms

All algorithms and datastructures from Introduction to Algorithms (CLRS) in C

Matrix multiplication program written in Python, with asymptotic visualization in R

Построение и оптимизация алгоритмов (ЛЭТИ 2024) / Construction and optimization of algorithms (ETU 2024)

Strassen's Algorithm is an Efficient Divide-and-Conquer Algorithm Used for Multiplication on Square Matrices

Implementation of Strassen Matrix multiplication

Design C++ class for matrix counting .

Engineering Algorithmic Structure in Neural Networks: From a Materials Science Perspective to Algorithmic Thermodynamics of Deep Learning

Repository for TPE and TP coding

implementation of Strasson method to matrix multiplication

SBU Concurrent Programming Course Materials

Linear algebra library, C++ template implementation

Hybrid Strassen + conventional matrix multiplication in C++17. Includes CLI, crossover tuning, triangle counting on random graphs, and automated tests.

Implement strassen's algorithm for matrix (recusive approch)

Workaround recursive calls of the Strassen Algorithm for better and more efficient parallelism in GPU

Strassen algorithm for matrix multiplication implemented in Haskell