Acceleration of Performance using direct programming of GPUs. In this session, we will use Intel OneAPI profiling tools, Intel® VTune™ Profiler and Intel® Advisor, to identify performance bottlenecks and develop strategies to optimize applications at Argonne.
JaeHyuk Kwack works in the performance engineering group at the Argonne Leadership Computing Facility. He received his B.S. and M.S. in engineering from Seoul National University, South Korea. He earned his Ph.D. and did his post-doctoral training in Computational Mechanics for Computational Fluid Dynamics (CFD) and Fluid Solid Interaction (FSI) problems from the University of Illinois at Urbana-Champaign, USA. Before joining Argonne, he worked for the Blue Waters supercomputing project at the National Center for Supercomputing Applications. He joined Argonne in 2018. At Argonne he has been focused on the OpenMP offloading model, and associated performance tools and math libraries for the coming US DOE Exa-Scale system, Aurora, at Argonne.
Kevin O’Leary is a Lead Technical Consulting Engineer whose expertise includes compilers, debuggers, and software performance tools. He has worked at Intel for the last 17 years, He is currently responsible for performance optimization using Intel tools and was one of the original developers of the Intel® Parallel Studio XE development suite. Prior to joining Intel, Kevin spent many years as a debugger engineer for IBM/Rational Software. He holds a Bachelor’s in Computer Science from the University of Massachusetts and a Master’s in Computer Science from Oregon Health and Science University.
Michael D’Mello has spent the last 30 years in the computer industry specializing in the area of Parallel Computing. Past employers include Thinking Machines Corporation, Convex Computer Corporation, and the Hewlett-Packard Company. He has been with Intel since 2003 and is the current manager of the Intel Center of Excellence at the Argonne Leadership Computing Facility. His primary interest is in the area of code development and optimization in the area of Scientific Computing. He holds a Ph.D. in Chemical Physics from the University of Texas, Austin.