Date: October 30, 2014
Time: 11:00 a.m. – 1:00 p.m.
Location: 5628 Math Science, IDRE Portal

GPUs are an integral part of most of the computer systems and are well known to have capabilities for numeric computations. Although few efforts have been made in the past to use these devices for general computing but the recent emergence of high level programming languages through CUDA has really made it possible to use GPUs without going through a steep learning curve.

The objective of this introductory class is to give an introduction to CUDA. This session will be of particular interest to those who want to develop computational codes or port existing codes that may use GPUs as compute engine.

Prerequisite: Working knowledge of C/C++.

RSVP online:  http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3382&SecID=3371