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 ...

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 ...

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

PARALLEL DEBUGGING Debugging needs to be addressed regardless of the parallel programming approach. Existing debuggers are simply the starting point, because most don’t address many of the features ...