Description
High Performance Computing
Prerequisite: COMP 264 and COMP 272.

This course covers parallel architectures and parallel models of computation. Algorithms for achieving high performance in various computational contexts are discussed. Models such as shared memory, message passing, and hybrid modes of computing are introduced.

Outcomes: Students will learn how to engineer solutions to practical problems in multiprocessor architectures and using large physical memories.
Details
Grading Basis
Graded
Units
3
Component
Lecture - Required
Offering
Course
COMP 364
Academic Group
College of Arts and Sciences
Academic Organization
Computer Science
Enrollment Requirements
Prerequisite: At least C- in COMP 264 and COMP 272