Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs
-
Updated
May 20, 2015 - C
Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs
The C reference implementation of the Pipe-and-Filter framework TeeTime
A compiler to generate OpenMP programs for equations involving constructs like Forall, Summation, etc., frequently used in the scientific domain
Boinc wrapper, john the ripper boinc implementation
This repository contains the code of a JVMTI agent which automatically analyses the java bytecode during runtime and exploits the implicit loop parallelism in the code and parallelize it on the fly. This research work was published in IC4E 2018, San Diego.
A minimal cmake based project skeleton for developping a kokkos application
Extensions to xv6 operating system done for course on Operating Systems at IIT Delhi
C library for interfacing with icepool-board on Linux using libftdi.
High Perfomance Computing project for parallelizing recursive fibonacci function with the usage of three API (OMP, MPI and CUDA)
Parallellization of the Kmeans algorithm with OpenMP
An implementation of different parallelization approaches for the Adaptive Mesh Refinement problem, along with a comparison of their performance on the Ohio Supercomputer.
Parallelized versions of popular Machine Learning algorithms, written in C using (mostly) the OpenMP API.
Some experimenting with parallelization and matrix multiplication.
This repository lists 4 problems solved using C. Each problem has its own serial and parallel implementations. For the latter, the OpenMP API was utilized.
A hunter for 4x4 Turkish letter matrix. It finds possible Turkish words performly.
The repository includes lab exercises for the course Parallel Programming (CS6306)
Source code for the course IN3200 High-performance Computing and Numerical Projects at University of Oslo.
Implementation and analysis of parallel task decomposition techniques for the Mandelbrot set computation, developed as part of the PAR (parallelism) course at the FIB - UPC Barcelona. Using OpenMP, focusing on iterative and recursive task decomposition.
Add a description, image, and links to the parallelization topic page so that developers can more easily learn about it.
To associate your repository with the parallelization topic, visit your repo's landing page and select "manage topics."