matrix-transpose

Numerical computation in native Haskell

Contains implementations of cache-optimized and external memory algorithms.

A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++

Parallel matrix multiplication using Intel TBB library

A fast bit-matrix tranpose implementation using SIMD

Decompose 2D/3D structured meshes between multiple MPI processes in a pencil-like manner

Cache Oblivious Algorithms

This project is a matrix manipulation library that enables you to perform essential matrix calculations. With this library, you can create matrices, perform mathematical operations on matrices such as addition, subtraction, multiplication, inverse calculation and more.

Source code for matrix multiplication and transpose in a header file.

CUDA implementation of vector additon, matrix multiplication, reduction and sorting

Implementation and benchmarking of different matrix transpose with CUDA

Programmed a calculator that would compute a series of matrix operations, such as addition, multiplication, and transposition.

This repository contains the minimal working example (MWE) discussed in the following AIMMS How-To article:

OpenCL implementation of vector additon, matrix multiplication, reduction and sorting

💾 Different Matrix Operations like Addition, Transpose, Symmetric and Row Interchange performed using Pointer Arithmetic

A project we had in Parallel High Performance Computing course where we used openMP & CUDA

Studying Java data structures and algorithms

Bu program, kullanıcı tarafından klavyeden girilen m × n boyutundaki bir matrisin transpozunu (devriğini) hesaplayıp ekrana yazdıran basit bir C++ uygulamasıdır.

Project from CSCI351 (Introduction to Computer Systems) in which we independently wrote a simulation of a cache and worked through some matrix-transposition problems.