🖼️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.
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Updated
Dec 4, 2017 - C
🖼️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.
As the field of Computational Fluid Dynamics (CFD) progresses, the fluid flows are more and more analysed by using simulations with the help of high speed computers. In order to solve and analyse these fluid flows we require intensive simulation involving mathematical equations which governs the fluid flow, these are Navier Stokes (NS) equation.…
TransferCL: an open framework for transfer learning on mobile device
Generating mandelbrot image sets using multiple processes and multiple threads in C and comparing the performance
Projects for CS 426 Parallel Computing
a parallel program to search a given corpus and return the most relevant search results. You are given a corpus called Aristo Mini Corpus
BenSP is a suite of parameterizable benchmarks for stream parallelism which is used to evaluate stream processing characteristics.
C library for interfacing with icepool-board on Linux using libftdi.
Every pieces of codes created along the journey of me learning socket programing in C and Python.
This repository contains few problems solved via parallel programming using openMp, openAcc, MPI and combinations of these methods
Parallel programming on an SMP and a multicomputer, using OpenMP and MPI, respectively for Parallel and Distributed Computing course. For this purpose, it was developed a serial and two parallel implementations of a sudoku solver.
OpenMP Source Code Reference
Super fast extraction and count of words from a very large text corpus
Impletation of FFT using MPI in C(Parallel Computing)
Efficient Large Matrix Multiplication in OpenMP
Repository containing codes and stuff from the Introduction to parallel and distributed processing class.
Simple image mosaic command line too (CUDA-OpenMP-C Implementation)
Some projects implement different parallel processing techniques (ex: MPI and OpenMP) to divide work between different cores.
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