VT GPU Computing Workshop a sold out success

Publish Date: 09/02/2013

The Virginia Tech Department of Computer Science and NVIDIA collaborated to host a hands-on, two-day workshop to survey the broad range of GPU-accelerated applications across all domains of scientific and engineering research. The August 14-15 workshop attracted more than 120 attendees from four institutions and 18 different departments. Participants included graduate students, postdocs, researchers, and professors all learning firsthand how to program graphics processing units (GPUs) via the use of libraries, OpenACC compiler directives, and CUDA programming. Participants performed hands-on exercises to acquire the skills to use and develop GPU-aware applications.

Dr. Wu Feng of the Department of Computer Science began the workshop with an overview addressing heterogeneous parallel computing and an introduction to HPC environment and tools at Virginia Tech. Other presentations were made by Bob Crovella, who leads a technical team at NVIDIA and is responsible for supporting GPU computing products in the high performance computing ecosystem. Crovella gave an introduction to GPU computing and then dove into two more intense sessions, all hands-on by the participants.

Feng and Crovella addressed why heterogeneous computing and GPUs have become so important in sustaining and advancing the state of the art in scientific and research computing. Virginia Tech has its own GPU-accelerated supercomputer, HokieSpeed, designed and deployed by a team led by Dr. Feng, which debuted as the most energy-efficient commodity super computer in the U.S. in November 2011.