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

I just recently finished reading Introduction to Concurrency in Programming Languages, one of the entries in CRC’s incredibly active Computational Science Series (“Incredibly active?” Yes: the series ...

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

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 ...

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 ...

Course discussion and questions are available on Ed for students in the class. This is also where the syllabus (class policies), labs, and recitation notes are kept. Class, recitation, office hour, ...

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 ...