Advanced Processor Technologies Group, Department of Computer Science, The University of Manchester, Manchester, United Kingdom Learning and development in real brains typically happens over long ...

Semiconductor Engineering sat down to talk about parallelization efforts within EDA with Andrea Casotto, chief scientist for Altair; Adam Sherer, product management group director in the System & ...

Compare using pthreads, openMP, CUDA and MPI, the performance of different parallelization approaches to the Adaptive Mesh Refinement(AMR) problem. AMR is a modeling method to simulate the dissipation ...

The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. Training state-of-the-art models like GPT and Llama ...

This project aims to improve the performance of the MinMax algorithm used in the Tic-Tac-Toe game by parallelizing the Alpha-Beta Pruning algorithm. The parallelization is achieved using OpenMP, a ...

The pa.sh tool finds sections of code that can run independently, then runs them in parallel to save time. Researchers have open-sourced pa.sh (also called pash), a tool that can dramatically speed up ...

Startup RapidFire AI Inc. today released an open-source software package aimed at simplifying the development of the pipelines that are increasingly central to enterprise artificial intelligence ...