As the world confronts the challenges of the COVID-19 pandemic, IBM is partnering with government, academia, and industry to enable faster insights and reduce time-to-answer. Hear first hand from David Turek, IBM VP of HPC Computing and Cognitive Systems, and Aaron Potler, IBM Distinguished Engineer, how accelerated data and AI with its core technologies are being leveraged in the key areas of detection, prevention, treatment and cure. This meetup is being sponsored by the IBM AI Philadelphia https://www.meetup.com/IBM-AI-Philly/ and IBM AI Washington DC meetup group https://www.meetup.com/IBM-AI-Washington-DC/
Please register for this virtual Meetup at:
https://ibm.webex.com/ibm/onstage/g.php?MTID=e34d4b099edd2e9ddda4340e33d0275ef
Speaker Bios:
Dave Turek has had a number of key roles in IBM throughout his 20 year career, especially in technical computing/high performance computing areas. In his current role, he is a key member in the COVID-19 High Performance Computing Consortium. This unique public-private consortium, spearheaded by The White House, the U.S. Department of Energy, and IBM, includes government, industry, and academic leaders who have volunteered free compute time and resources on their machines. The Consortium will help aggregate computing capabilities from some of the most powerful and advanced computers in the world to help researchers everywhere better understand COVID-19, its treatments and potential cures. The consortium brings together an unprecedented amount of supercomputing power—16 systems with more than 330 petaflops, 775,000 CPU cores, 34,000 GPUs, and counting—to help researchers everywhere tackle this global challenge. These high-performance computing (HPC) systems allow researchers to run very large numbers of calculations in epidemiology, bioinformatics, and molecular modeling in hours or days, not weeks, months or years. Partners within the consortium include: IBM, Lawrence Livermore National Lab (LLNL), Argonne National Lab (ANL), Oak Ridge National Laboratory (ORNL), Sandia National Laboratory (SNL), Los Alamos National Laboratory (LANL), the National Science Foundation (NSF), NASA, the Massachusetts Institute of Technology (MIT), Rensselaer Polytechnic Institute (RPI), Amazon, and Google.
Aaron Potler focuses on High Performance Computing including microprocessor and computer architectures as well as application performance. He works with IBM Research and product development teams to develop feature and function proposals for processor and system designs. Aaron’s experience includes developing software for high-performance libraries in support of applications, new code generation and optimizations in compilers, Deep Learning, and Quantum Computing. He collaborates with clients and guides them on architectural decisions and technical strategies.
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