IACS seminars are free and open to the public; no registration is required. Lunch will not be provided.
ABSTRACT: The largest computers in the world are an essential tool for key scientific simulations, spanning a wide range of applications across fundamental science, in areas such as cosmology or turbulent flows, and applied engineering, such as material science and storm surge modeling. Historically, Moore's law has driven rapid expansion of computational capability, with the largest computers following an exponential growth in FLOPs. However, the Moore's law is slowing, and high performance computing is undergoing a radical transformation from largely homogeneous clusters of CPUs to heterogeneous machines with specialized accelerators, particularly GPUs. This paradigm shift requires that algorithms and software evolve to leverage the specialized hardware in these systems. In this talk, Dr. Malaya, will discuss hardware and software 'co-design', and the essential role computational science plays as a bridge between physical subject matter experts and hardware design. This challenge is motivated by Oak Ridge National Laboratories upcoming Exascale supercomputer, Frontier, a heterogeneous system of AMD CPUs and GPUs. Coming online in 2021, Frontier is expected to be the largest supercomputer ever constructed. Ensuring application readiness from Day-0 for a massively parallel, heterogeneous machine is a challenging task. Application preparation is being driven via the Frontier Center for Accelerated Application Readiness (CAAR) program. The Frontier CAAR is a partnership between application core developers, vendor partners, and OLCF staff members to optimize simulation, data-intensive, and machine learning scientific applications for exascale performance, ensuring that Frontier will be able to perform large-scale science when it opens to users in 2022.
BIO: Nicholas Malaya is a research scientist at Advanced Micro Devices (AMD) with an emphasis in software development, algorithms, and high performance computing. He is AMD's technical lead for the Frontier Center of Excellence, where he works closely with Oak Ridge National Laboratory and Cray to prepare scientific applications for deployment on what is expected to be the world's largest supercomputer. Nick's research interests include turbulence modeling, Bayesian inference, and AI. He received his PhD from the University of Texas. Before that, he double majored in Physics and Mathematics at Georgetown University, where he received the Treado medal. In his copious spare time he enjoys long distance running, wine, and spending time with his wife and sons.