Learn the key steps and challenges of parallel algorithm development and execution, and find some useful tips and tools to improve your performance and scalability.

Learn how to use algorithm frameworks and tools to design, implement, test, and optimize parallel and distributed algorithms for various problems and platforms.

This paper uses finite-difference time-domain (FDTD) algorithm as a case study, designing suitable parallel FDTD algorithms for three architectures: distributed-memory machines with single-core ...

Parallel design patterns have been developed to help programmers efficiently design and implement parallel applications. However, identifying a suitable parallel pattern for a specific code region in ...