Dr. Robert W. Wisniewski is an HPE Fellow and the Chief Architect and Vice President for the HPC and AI Solutions Organization at HPE. He is an IEEE Fellow and ACM Distinguished Scientist. He has published over 85 papers including 7 best papers and a book in the area of high performance computing, computer systems, and system performance, has filed over 71 patents with over 49 issued, has an h-index of 42 with over 8000 citations, has given over 91 external invited presentations, and generated over 18 press articles. Prior to joining HPE, he was a Senior Vice President at Samsung, Chief Architect of HPC, President of Samsung Federal Incorporated, and head of Samsung’s SAIT Systems Architecture Lab. The Systems Architecture Lab’s mission was innovating technology to overcome the memory and communication walls for HPC and AI applications. Before Samsung, he was an Intel Fellow and CTO and Chief Architect for High Performance Computing at Intel. He was the technical lead and PI for Aurora, the supercomputer delivered to Argonne National Laboratory as one of the world’s first exascale computers. He was also the lead architect for Intel’s cohesive and comprehensive software stack that was used to seed OpenHPC, and served on the OpenHPC Governance Board as chair. Before Intel, he was the chief software architect for Blue Gene 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 the Top 500 list.
Diamond Sponsor Presentation: Co-Presenting with Aaron Lott
Presentation Title:
Embracing Heterogeneity
Presentation Abstract:
With the ending of Moore’s Law and Denard Scaling there has been an increasing number of accelerators being developed. Coupled with the explosion of AI this has led to a divergent need and opportunity for focused technologies to provide an advantage as part of the overall workflow solution. Examples include AI accelerators targeted for inference, quantum computing. And with the advent of agentic computing CPUS are playing a critical role in the overall system. In this talk, we will focus on a system architecture that can incorporate these technologies, and we will provide a description of how Quantum Computing fits into this macroheterogeneous world. We will describe a way to reason and propose a way to evaluate macroheterogeneity, and we will describe an architecture for Quantum Computing and the value of coupling it to HPC and AI. The most productive future is not HPC, AI, or Quantum Computing but a combination of all three.