Algebraic enhancements for GEMM & AI accelerators
Several common methods of matrix multiplication are implemented on CPU and Nvidia GPU using C++11 and CUDA.
Matrix multiplication algorithms implemented in python.
Strassen's Algorithm for Tensor Contraction
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)
Implementation of Strassen Matrix multiplication
Strassen's Algorithm is an Efficient Divide-and-Conquer Algorithm Used for Multiplication on Square Matrices
SBU Concurrent Programming Course Materials
Linear algebra library, C++ template implementation
Strassen algorithm for matrix multiplication implemented in Haskell
Implement strassen's algorithm for matrix (recusive approch)
Workaround recursive calls of the Strassen Algorithm for better and more efficient parallelism in GPU
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