This study explores the application of parallel algorithms to enhance large-scale sorting, focusing on the QuickSort method. Implemented in both sequential and parallel forms, the paper provides a ...

Overview: High-Performance Computing (HPC) training spans foundational parallel programming, optimization techniques, ...

Abstract: In this paper, we share our experience in teaching parallel algorithms with the binary-forking model. With hardware advances, multicore computers are now ubiquitous. This has created a ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

Abstract: By means of an abstract model of the SIMD type with vertical data processing (the STAR-machine), we present a simple associative parallel algorithm for finding tree paths in undirected ...

This document points out all the resources used, the design choices adopted and experimental evaluations obtained during the development of the project. The first step involved learning what the ...