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Organization, Regulations, and Courses 2020-21


COSC 89.25 GPU Programming and High Performance Computing

The GPU Computing course introduces students to the basic programming and algorithmic techniques for developing the modern parallel computer code for high-performance computing applications. Course topics will cover the fundamentals for GPU (CUDA) and CPU (multi-threading) parallel programming, parallel computer architecture, parallel data structures, parallelizable linear algebra, conjugate gradient and multigrid solvers, particle systems and N-body problems, and vectorization. The materials will be illustrated using large-scale computing examples and applications from computer graphics, computational physics, and machine learning.

Prerequisite

This course assumes an understanding of multi-variable calculus and linear algebra and proficiency in C++ programming. Students are recommended to take COSC 70 as a prerequisite or to show equivalent understanding and comfortableness with the associated materials.

Distributive and/or World Culture

Dist:QDS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.