Getting Ready to Aurora exa-scale supercomputer using Intel Advisor Roofline on Intel CPUs and GPUs
Aurora at Argonne National Laboratory is one of US DOE’s exa-scale supercomputers that will be deployed in 2022. OneAPI provides all essential components for porting applications to Aurora with optimal performance. OneAPI Intel Advisor roofline features provide intuitive performance analysis results on Intel GPUs, and useful insights about performance bottlenecks for further optimization. We present our Advisor use-cases from our workloads including MD (molecular dynamics) and CFD (computational fluid dynamics) areas.
Speaker(s)
JaeHyuk Kwack
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.
Zakhar Matveev
Zakhar A. Matveev, Principal Engineer, PhD, is a product architect for Intel ® Advisor tool on x86 CPU and Intel GPUs. His focus and professional interests are in the areas of high performance computing, parallel programming, hardware/software co-design and computer graphics.
