Comparison of matrix multiplication by line and by column in different programming languages.

phiGEMM: CPU-GPU hybrid matrix-matrix multiplication library

This program will multiply 2 matrices and store it in a thrid one. The values of the matrices are dynamic, they will be defined by the user. The dimension it is still static. In this case, the dimension will be 3 x 3. Note: it is considered that the matrices are vectors, because that is how the memory stores a matrix

High performance computing with GPU

Implementation of Strassen algorithm (matrix multiplication) in Java

Parallel version of the matrix multiplication algorithm. The program creates N child threads that compute the multiplication of row i X column j of two square matrices and then send their results to the parent thread using thread synchronization.

Parallel Processing Course - GPGPU(CUDA) Project

Parallel Processing Course - MPI(MPICH2) Project [Team Project]

Extensions to simplify the use of the LinearAlgebra framework on iOS 8 and OS X 10.10 utilising Swift operator overloading

Sparse Matrix - Matrix Multiplication for GPU, Java8 Streams, Multicore CPU and GridGain.

A Collection some matrix manipulation algorithms

Advanced Digital Design module assignments

Python matrix DAO implemented in C

Matrix Multiplication using CUDA

Created a Recommender system based on Products of Factors technique

This project contains these methods to manipulate a matrix: - TransposeMatrix - FlipHorizontally - FlipVertically - Rotate90Clockwise - Rotate90CounterClockwise - Rotate180Clockwise - Rotate180CounterClockwise

МГТУ ИУ7 "Анализ алгоритмов" лабораторные работы

Strassen Algorithm parallelization using Charm++ paradigm of migratable objects (Chares)

Maxtrix multiplication with multi-threading.

Assignments from Algorithms Course like - All pairs shortest path, Common Substrings, Huffman Coding, K-nary Heaps, KMP, Line Sweep, Matrix Chain Multiplication, Maximum Flow, Quick Sort, Strongly Connected Components