Parallel Programming using GPUs

Go to Resource

Access restricted to Seneca students and employees. Requires Seneca VPN off-campus.

Contributor

en-ca Chris Szalwinski

Publication Date

en-ca 23-Jan-18

Description

en-ca This course teaches students how to read and write programs that use both CPU and GPU technology. Students learn to reorganize existing programs into serial code that runs on the CPU and parallel code that runs on the GPU. Students also study cases that have benefited from CPU+GPU programming.

Subject

en-ca Computer science
en-ca Computer programming

School / Program

en-ca Faculty of Applied Science and Engineering Technology

Course

en-ca GPU610
en-ca DPS915

Format

en-ca Website

Language

en-ca English

Access Restrictions

en-ca Access restricted to Seneca Polytechnic students and employees. Requires VPN off-campus.