Numerical computation in native Haskell
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Updated
Aug 21, 2020 - Haskell
Numerical computation in native Haskell
Contains implementations of cache-optimized and external memory algorithms.
Cache Oblivious Algorithms
💾 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
Programmed a calculator that would compute a series of matrix operations, such as addition, multiplication, and transposition.
In this simple sql-engine, we have implemented a limited set of query according to specified syntax. We also handled big matrix transpose here
A project we had in Parallel High Performance Computing course where we used openMP & CUDA
This repository contains all the assignments related to Advanced microprocessors x86 and mmx controllers.
Portable, header-only linear algebra library written in C++
Parallel matrix multiplication using Intel TBB library
Studying Java data structures and algorithms
Source code for matrix multiplication and transpose in a header file.
A semester tasks of Data Structure and Programming Fundamentals using C++ Language.
Matrix Operator
It takes input for a matrix, displays the original matrix, and then prints its transpose.
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.
Project from CSCI351 (Introduction to Computer Systems) in which we independently wrote a simulation of a cache and worked through some matrix-transposition problems.
A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++
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