Support for OpenCL-based processing blocks
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Updated
Nov 20, 2020 - C++
Support for OpenCL-based processing blocks
Repository containing tasks & solutions of the BI-PSI course (2015/16)
This is a very simple windows form application that I completed for a class assignment. It is shown here to illustrate my coding style, structure, and commenting. This example is considered Level 3 – Advanced. Objectives: Task Parallel Library TPL Parallel.ForEach ProgressBar Windows Forms Action delegate Cancelling Tasks CancellationTokenSource…
Efficient Large Matrix Multiplication in OpenMP
A proof of concept showing how to parallel run tasks in Java.
Dependency Analysis is performed on some code snippets and they have been improved in speed if possible
Repository containing codes and stuff from the Introduction to parallel and distributed processing class.
Max Destil's Advanced VLSI Design course project portfolio. See link for course description.
Use an entry processor to process in parallel the standard deviation of customer satisfaction scores that are stored in a map.
Extract insights from Toronto's bike share ridership data to guide digital advertising campaign initiatives aimed at growing enrollment in local SCS program
The goal of this project is to compute Voronoi Diagram in a a very large and distributed graph using asynchronous parallel computation
Simple image mosaic command line too (CUDA-OpenMP-C Implementation)
Run commands on multiple servers in your Datadog Infrastructure
Some projects implement different parallel processing techniques (ex: MPI and OpenMP) to divide work between different cores.
Create an animation from the NYC Taxi dataset
A JavaScript library for concurrency and parallelism.
This repository is for tracking the thesis progress and thesis work of the Parallel Processing and Distributed System Lab.
7th Semester Multicore Architecture assignment.
Add a description, image, and links to the parallel-processing topic page so that developers can more easily learn about it.
To associate your repository with the parallel-processing topic, visit your repo's landing page and select "manage topics."