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The Pittsburgh Supercomputing Center is pleased to present an OpenACC GPU programming workshop.

OpenACC is the accepted standard using compiler directives to allow quick development of GPU-capable codes using standard languages and compilers. It has been used with great success to accelerate real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using the Bridges-2 computing platform at the Pittsburgh Supercomputing Center.

Sunita Chandrasekaran, User Group Chair of the OpenACC Organization and Professor at University of Delaware, is leading the charge on the high-tech frontier, fearless in the face of complexity. 

She led an international team that stress-tested the world’s first exascale computer, capable of performing a staggering quintillion calculations per second. Now, she’s exploring the intersection of AI and the high-performance computing (HPC) that powers it — all while preparing her students to thrive at top technology and business firms. 

NVIDIA HPC SDK v25.7 delivers a significant leap forward for developers working on high-performance computing (HPC) applications with GPU acceleration. This release marks nearly two years of ongoing development focused on unified memory programming, resulting in a complete toolset that automates data movement between CPU and GPU. By eliminating much of the manual data management traditionally required, it streamlines GPU development, shortens GPU porting cycles, reduces bugs, and gives developers greater flexibility in optimizing scientific workloads.

Stay up-to-date on the latest news, research, and resources: This month's edition covers the 2025 Open Accelerated Computing (OAC) Summit call for speakers, EuroCC's series of bootcamps, TPC25, relevant research, upcoming events, and more!

 
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