Using Architectural Simulation to Investigate Chiplets for Scalable and Cost Effective HPC Beyond Exascale

#Chiplets #heterogeneous #integration #modular #architecture #HPC
Share

Chiplets have become a compelling approach to scaling and heterogeneous integration e.g. integrating workload-specific processors and massive bandwidth memory systems into computing systems; integrating die from multiple function-optimized process nodes into one product; integrating silicon from multiple businesses into one product. Chiplet-based products have been produced in high volume by multiple companies using proprietary chiplet ecosystems. Recently, the community has proposed several new standards (e.g., UCIe) to facilitate integration and interoperability of any compliant chiplet. Hyperscalers (e.g., Google, Amazon) are actively designing high volume products with chiplets through these open interfaces. Other communities are exploring the end-to-end workflow and tooling to assemble chiplet-based products. High performance computing can benefit from this trend. However, the performance, power, and thermal requirements unique to HPC, present many challenges to realizing a vision for affordable, modular HPC using this new approach. Architectural modeling and simulation will play a critical role in pathfinding for this new potential direction for HPC beyond Exascale.



  Date and Time

  Location

  Hosts

  Registration



  • Add_To_Calendar_icon Add Event to Calendar

Loading virtual attendance info...

  • Contact Event Host
  • Starts 13 February 2026 08:00 AM UTC
  • Ends 10 April 2026 08:00 PM UTC
  • No Admission Charge


  Speakers

John Shalf

Biography:

John Shalf is the Department Head for Computer Science at Lawrence Berkeley National Laboratory. He also formerly served as the Deputy Director for Hardware Technology on the US Department of Energy (DOE)-led Exascale Computing Project (ECP) before he returned to his department head position at LBNL. He has co-authored over 100 peer-reviewed publications in parallel computing software and HPC technology, including the widely cited report “The Landscape of Parallel Computing Research: A View from Berkeley” (with David Patterson and others). He is also the 2024-2027 distinguished lecturer for the IEEE Electronics Packaging Society and 2025 recipient of the IEEE Seymour Cray Award for computer engineering. Before joining Berkeley Laboratory, John worked at the National Center for Supercomputing Applications and the Max Planck Institute for Gravitation Physics/Albert Einstein Institute (AEI), where he co-created the Cactus Computational Toolkit.





-- Chiplets, heterogeneous integration, multi-physics challenges, modular architecture ...