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 ...

The XSEDE project and the University of California, Berkeley are offering an online course on parallel computing for graduate students and advanced undergraduates. The course includes online video ...

The University of Illinois at Urbana-Champaign is partnering with graphics processor developer Nvidia to offer a course in parallel computing--a course that will be taught by both the chair of the ...

When Calvin computer science professor Joel Adams launched Calvin’s first parallel computing course in the late 90s, the field was “an esoteric elective kind of thing.” Supercomputers, the main ...

Selected advanced topics including: Parallel computing; network security; client-server computing; compression; web applications; wireless and mobile computing. The fourth number of the course code ...

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 ...

When Calvin computer science professor Joel Adams launched Calvin’s first parallel computing course in the late ’90s, the field was “an esoteric elective kind of thing.”Supercomputers, the main ...