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February 28, 2018 | George Mattingly II
Computer programmers and IT professionals will learn how they can streamline their work in analytics, engineering and deep-learning applications in the upcoming workshop “GPU Programming Using OpenACC” at the University of Houston-Clear Lake on March 6.
The workshop is hosted by the Extreme Science and Engineering Discover Environment (XSEDE) and the Pittsburgh Supercomputing Center, who will stream the workshop at UHCL from 10 a.m. to 4 p.m.
OpenACC (open accelerators) is a programming standard for high-performance parallel computing, in which computations are divided into smaller tasks and solved at the same time. GPU-accelerated computing uses the graphics processing unit (GPU) together with central processor elements (PEs) to help applications run faster, said UHCL Professor of Computer Engineering Liwen Shih.
“GPU computing is a state-of-the-art accelerator,” Shih said. “It’s important for programmers to learn because it uses less energy but is much more powerful than using just the central PEs.”
Shih has coordinated monthly workshops and intensive summer bootcamps at UHCL with XSEDE for the past five years with the goal of equipping the community with tools and knowledge of OpenMP, OpenACC, MPI, BigData and Machine Learning to be competitive in the job market.
Registration for the March workshop is free. To register and for more information about future workshops, create an account at https://xsed.org/ or contact Shih at shih@uhcl.edu.