Dev Hub

Converging AI, HPC, and Big Data Workflows


AI technologies are playing an increasingly important role in traditional HPC modeling and simulation applications. Equally, AI applications are getting large enough they require HPC technologies. This talk will describe our vision for the future and the technologies that we are jointly developing for Aurora, one of the world’s first exascale computers, in collaboration with Argonne National Laboratory, and describe how applications benefit from the capabilities we are developing.


Dr. Robert W. Wisniewski, Chief Architect HPC, Aurora Technical Lead and PI, Intel Corporation

Dr. Robert W. Wisniewski is an ACM Distinguished Scientist, IEEE Senior Member, the CTO and Chief Architect for High Performance Computing and a Senior Principal Engineer at Intel Corporation. He is the technical lead and PI for Aurora, the supercomputer to be delivered to Argonne National Laboratory that will achieve greater than an exaflop of computation. He is also the lead architect for Intel's cohesive and comprehensive software stack that was used to seed OpenHPC, and serves on the OpenHPC governance board as chairman. He has published over 80 papers in the area of high performance computing, computer systems, and system performance, has filed over 59 patents with 46 issued, has an h-index of 40 with over 6700 citations, and has given over 73 external invited presentations. Before coming to Intel, he was the chief software architect for Blue Gene Research and manager of the Blue Gene and Exascale Research Software Team at the IBM T.J. Watson Research Facility, where he was an IBM Master Inventor and led the software effort on Blue Gene/Q, which received the National Medal of Technology and Innovation, was the most powerful computer in the world in June 2012, and occupied 4 of the top 10 positions on Top 500 list.

Venkatram Vishwanath, Data Sciences Team Lead at the Argonne Leadership Computing Facility (ALCF), Argonne National Laboratory

Venkatram Vishwanath is a computer scientist at Argonne National Laboratory. He is the Data Science Team Lead at the Argonne Leadership Computing Facility (ALCF). His current focus is on algorithms, system software, and workflows to facilitate data-centric applications on supercomputing systems. His interests include scientific applications, supercomputing architectures, parallel algorithms and runtimes, scalable analytics and collaborative workspaces. He has received best papers awards at venues including HPDC, CCGRID and LDAV, and a Gordon Bell finalist.