Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
-
Updated
Oct 14, 2024
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
Plasma Programming Language
C++ header only template library designed to make it easier to write high-performance SIMD (SSE, AVX, Neon) and multi-threaded code.
Math library for operations on fields
Set of scripts to run STRUCTURE in parallel on computing grids like MetaCentrum. Scripts are designed for grids and clusters using PBS Pro, but can be easily adopted for another queue system.
High Performance Computing BEM solver for micro-swimmers
This project focuses on enhancing the efficiency of the DES cryptographic algorithm by parallelizing its implementation using OpenMP. By dividing the plain text into substrings of length '8' and leveraging block cipher properties, the algorithm achieves parallel processing on multiple processors.
Large scale sparse similarity calculation with tools for parallelisation and incorporation of hierarchical domain knowledge
Run jobs in parallel
High Performance Computing exercise solutions and project code / presentation.
Add a description, image, and links to the parallelisation topic page so that developers can more easily learn about it.
To associate your repository with the parallelisation topic, visit your repo's landing page and select "manage topics."