A project we had in Parallel High Performance Computing course where we used openMP & CUDA
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Updated
Nov 2, 2018 - C
A project we had in Parallel High Performance Computing course where we used openMP & CUDA
Contains implementations of cache-optimized and external memory algorithms.
Source code for matrix multiplication and transpose in a header file.
A semester tasks of Data Structure and Programming Fundamentals using C++ Language.
This repository contains all the assignments related to Advanced microprocessors x86 and mmx controllers.
Studying Java data structures and algorithms
Numerical computation in native Haskell
Solving the second homework assignment for the computer architecture course (1 term).
💾 Different Matrix Operations like Addition, Transpose, Symmetric and Row Interchange performed using Pointer Arithmetic
This matrix has some operation such as add,subtract, multiplication and transpose
Parallel matrix multiplication using Intel TBB library
In this simple sql-engine, we have implemented a limited set of query according to specified syntax. We also handled big matrix transpose here
Portable, header-only linear algebra library written in C++
Ce projet est une bibliothèque de manipulation de matrices qui permet d'effectuer des calculs matriciels essentiels. Avec cette bibliothèque, vous pouvez créer des matrices, effectuer des opérations mathématiques sur les matrices telles que l'addition, la soustraction, la multiplication, le calcul de l'inverse, etc.
A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++
Programmed a calculator that would compute a series of matrix operations, such as addition, multiplication, and transposition.
Cache Oblivious Algorithms
Matrix Operator
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