Special Time: 1:00 - 5:00 p.m.
This GPU Computing 101 workshop will address topics such as why accelerated computing with GPUs is important to sustaining and advancing the state of the art in scientific and research computing, both in terms of performance and energy efficiency. The workshop will survey the broad range of GPU accelerated applications across all domains of scientific research and engineering.
Participants will learn how to program GPUs via the use of libraries, OpenACC compiler directives, and CUDA programming. The workshop will incorporate hands-on exercises so that the participants can become more familiar with GPU programming techniques.
This workshop is especially recommended for: 1) domain scientists to realize the power of GPU computing by taking advantage of the GPU enabled applications, 2) HPC/IT staff who want to enable scientists and developers with parallelizing compilers and 3) developers who want hands-on experience how to program GPUs in any of their native languages (C, Fortran, Python etc).
NOTE: Attendees who want to follow along and do the exercises during the session should bring a laptop with SSH client installed.
Free and open to the Stanford Community - no registration required.
This is your opportunity to get technology updates from and ask questions of subject-matter experts.