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National Center for �Supercomputing Applications

William Gropp�wgropp.cs.Illinois.edu

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  • The National Center for Supercomputing Applications partners with faculty, staff, and students, and collaborators from around the globe to use advanced computing and data to create solutions to the most challenging problems.
  • NCSA is one (and the oldest!) of ten campus-level interdisciplinary research institutes
  • Reports directly to the Vice Chancellor for Research and Innovation
  • Created nearly 40 years ago as one of the first NSF Supercomputing Centers

NCSA Today — Overview

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PEOPLE�About 250 FTE, almost 200 Faculty affiliates, over 100 students

FACILITIES�Office Building and state-of-the-art Data Center �(at opposite ends of campus)

BUDGET�About $70M/year in expenditures

    • Largest share from NSF, but funding from DOE, NIH, Industry, others
    • >75% from grants and projects

NCSA Today — The Numbers

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Centers and Campus Project Collaborations

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Center for Digital Ag (CDA)�& AIFARMS

Delta and DeltaAI

NSF Materials Science NRT

(DIGI-MAT)

Office of Data Science Research

Center for Astrophysical Surveys (CAPS) & SKAi

Center for Artificial Intelligence Innovation (CAII)

Center for Exascale-Enabled Scramjet Design (CEESD)

Illinois Mayo Alliance

Illinois Computes

Healthcare Innovations Program Office

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NCSA Short History

  • Larry Smarr convinces NSF to invest in Supercomputing Centers to meet the needs of computational science. NCSA opens January 1986.
  • NCSA Mosaic Released January 1993
  • NCSA Creates Sony PlayStation2 Cluster May 2003
  • NCSA launches XSEDE January 2011
  • NPCF completed 2008
  • Blue Waters begins production January 2013
  • NCSA leads in ACCESS, successor to XSEDE April 2022
  • Delta begins production October 2022
  • DeltaAI accepted September 2024
  • See more at https://www.ncsa.illinois.edu/about/history/

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HPC Computing History and Future

HPC hardware has passed through several eras:

  • Vector (1980-1990’s)
  • Microprocessor (mid 1980s-now)
  • Distributed memory parallel (late 1980’s-now)
  • GPUs (~2010-now)
  • Specialized processors (~2020-now)
  • Radical alternatives (neuromorphic, quantum, analog)
  • HPC+AI (+QC) (~2020-?)�

HPC Applications

    • Modeling and simulation from 2d to 3d to even higher fidelity; AI
    • AI provides alternative/augment to first principles simulation

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Source: 48 Years of Microprocessor Trend Data, K. Rupp.

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Why Now for a �Climate Computer?

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  • The need is great and only computing can answer key questions
  • With the end of Dennard (frequency) scaling, there is a renaissance in hardware innovation
  • We’ve known for decades that memory bandwidth is at least as important as FLOPS; we’re now getting faster (if less flexible) memory
  • Computer performance has also spurred a transformation in software
    • Everything from new productivity approaches to automation accelerated by AI

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Why Partner with NCSA?

  • Long experience supporting the computational science community
  • NSF leader in AI compute
  • Long history of developing software for applications
  • Computing systems designed for science applications
    • Blue Waters for sustained PetaFLOPS, not peak Linpack
    • Delta and DeltaAI for GPU apps and AI – embrace a subset of applications; note much higher memory bandwidth with GPUs, as long as your algorithm fits – but terabyte GPU nodes now available
  • We can host a large system – NPCF is a modern data center with 24MW power, liquid cooling, and expansion space to double the size

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Thank you. Questions?