Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Viewshed analysis is a critical process within Geographic Information Systems (GIS) that determines the visibility of terrain from a given observation point. Recent progress in parallel computing has ...

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 ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

Parallel algorithms for singular value decomposition (SVD) have risen to prominence as an indispensable tool in high-performance numerical linear algebra. They offer significant improvements in the ...

Overview: This introduction is designed to start off each of our modules, or a larger project that combines modules, by familiarizing students with ethics, algorithms, AI, and machine learning. These ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...