Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.
Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
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 ...
I wanted to find out where parallel computing stands today, so I talked with James Reinders, Parallel Programming Models Architect at Intel. He has been involved with high-performance computing (HPC) ...
Development tools for parallel computer systems tend to be architecture-specific, difficult to integrate and fairly basic. Parallel application developers often find themselves juggling tools to match ...
Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results