This project provides a complete learning path for MPI parallel programming, from basic concepts to advanced performance optimization. It includes real-world algorithms, comprehensive benchmarking ...

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

This repository contains parallel implementations of the K-Means clustering algorithm using three different parallel programming paradigms: OpenMP: For shared-memory parallelism on multi-core CPUs.

This course is designed for scientists, engineers, students, and professionals looking to develop efficient solutions for high-performance and distributed computing systems. It focuses on parallel ...

Abstract: The increasing complexity of hybrid supercomputer architectures necessitates innovative parallel computing approaches, necessitating more efficient and scalable memory management techniques ...

In this video from the 2017 HPC Advisory Council Stanford Conference, Devendar Bureddy from Mellanox presents a Tutorial on In-Network Computing SHARP Technology for MPI Offloads. “Increased system ...

MPI may be the de facto standard for communication, but it is not the only library. While MPI attempts to be broad in scope, its message semantics are actually quite limited. Some developers have had ...

OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from aerospace to AI, it lets developers tap into multicore and GPU performance with ...