[Crib-list] HPEC (virtual conference) & Graph Challenge Call for Papers Deadline July 7

[Kepner, Jeremy - LLSC - MITLL]

Colleagues,
 The High Performance Extreme Computing (HPEC<https://ieee-hpec.org/>) virtual conference is the largest computing conference in New England and is tailored for computational researchers to publish their work in a convenient, rapid peer-reviewed, archival, virtual venue.  Our community is interested in computing hardware, software, systems and applications where performance matters. We welcome experts and people who are new to the field. We highly encourage you to consider submitting by the July 7 paper deadline.

We have an outstanding set of distinguished speakers:


  *   Prof. Saman Amarasinghe<https://people.csail.mit.edu/saman/> (Perkins Prof EESC MIT; ACM Fellow)
  *   Prof. Yaneer Bar-Yam<https://necsi.edu/yaneer-bar-yam> (President New England Complex Systems Institute)
  *   Craig Connors<https://www.linkedin.com/in/craigconnors/> (VP & CTO Cisco Infrastructure & Security)
  *   Prof. Danna Freedman<https://chemistry.mit.edu/profile/danna-freedman/> (Keyes Prof Chemistry MIT, Quantum at MIT Director; MacArthur Fellow)
  *   Prof. Sigal Gottlieb<https://www.umassd.edu/directory/sgottlieb/> (Chancellor Prof Math UMass Dartmouth; SIAM & AWM Fellow)
  *   Dave Martinez<https://www.ll.mit.edu/biographies/david-r-martinez> (MIT Lincoln Lab Fellow; IEEE Fellow)
  *   Dr. CJ Newburn<https://www.linkedin.com/in/chris-cj-newburn-17997712/> (Nvidia Distinguished Engineer; NVIDIA IO and HPC software strategy architect)
  *   Prof. Katsuhisa Ozaki<https://www.shibaura-it.ac.jp/en/research/laboratory/00163.html> (Shibaura Institute of Technology)
  *   Prof. Daniela Rus<https://danielarus.csail.mit.edu/> (Viterbi Prof EESC MIT, CSAIL Director; AAAS, ACM, AAAI, IEEE, MacArthur & NAE Member/Fellow)

We are also pleased to announce an outstanding line up of special sessions:

  *   MIT/Amazon/IEEE Graph Challenge<https://graphchallenge.mit.edu/> (submissions also due July 7)
  *   Age of Mixed-Precision: Algorithms, Libraries, and Applications<https://icl.utk.edu/users/luszczek/conf/2025/hpec/>; organizer: Dr. Piotr Luszczek (MIT LLSC & UTK ICL)
  *   Bridging Quantum and High Performance Computing<https://sites.google.com/view/hpec2025quantum-hpc>; organizer: Prof. Devesh Tiwari (Northeastern Univ.)
  *   GenAI Opportunities and AI Challenges<https://sites.mit.edu/hpec-2025-genai/>; organizer: Dr. Vijay Gadepally<https://www.ll.mit.edu/biographies/vijay-n-gadepally> (MIT LLSC), Dr. Daniel Burrill<https://www.linkedin.com/in/daniel-b-90b61983/> (MIT LLSC), Dr. Christian Prothmann<https://www.linkedin.com/in/christianprothmann/> (MIT CSAIL)
  *   Fastcode @ HPEC<https://fastcode.org/events/ieee-hpec/>; organizer: Dr. Bruce Hoppe (MIT)<https://www.linkedin.com/in/behoppe/#main-content>
  *   SPIRAL Tutorial: Accelerating AI and other workloads on GPUs, CPUs, and QPUs<http://www.spiral.net/tutorial-spiral.html>; organizers: Prof. Franz Franchetti and Naifeng Zhang (http://www.spiral.net/tutorial-spiral.html)
  *   GraphBLAS Forum<https://graphblas.org/hpec_bof.html> to define standard building blocks for graph algorithms; organizers: Dr. Timothy Mattson<https://www.linkedin.com/in/tim-mattson-70b1774/> (HLG), Dr. Ben Brock<https://www.linkedin.com/in/benjamin-brock-617289232/> (Intel), and Dr. Scott McMillan<https://resources.sei.cmu.edu/library/author.cfm?authorID=301616> (CMU SEI)
  *   BRAINS: Building Resilience through Artificial Intelligence for Networked Systems<http://sites.mit.edu/pisharody/brains/>; organizers: Dr. Sandeep Pisharody<http://sites.mit.edu/pisharody/> (MIT LL) and Dr. Thomas Hardjono<https://hardjono.mit.edu/> (MIT)
  *   Scaling Research Computing Education<https://supercloud.mit.edu/scaling-hpc-education>; organizers: Dr. Julie Mullen<https://www.linkedin.com/in/juliamullen/> (MIT LLSC) and Dr. Hayden Jananthan (MIT LLSC)

HPEC covers a wide range of topics including:

  *   High Performance Computing
  *   AI/ML/GenAI
  *   Performance Engineering for AI
  *   AI for Performance Engineering
  *   AI at Scale and AI on the Edge
  *   LLMs, CNNs, DNNs, other AI/ML Methods
  *   Low/Mixed Precision Approaches
  *   Big Data and Distributed Computing
  *   Data Intensive Computing
  *   High Performance Data Analysis
  *   General Purpose GPU Computing
  *   Cyber Analysis and Secure Computing
  *   Interactive and Real-Time Supercomputing
  *   Supercomputing
  *   Graph Analytics and Network Science
  *   ASIC and FPGA Advances
  *   Advanced Multicore Software Technologies
  *   Advanced Processor Architectures
  *   Automated Design Tools
  *   Case Studies and Benchmarking of Applications
  *   Mapping and Scheduling of Parallel and Real-Time Applications
  *   Quantum and Non-Deterministic Computing
  *   New Application Frontiers
  *   Computing Technologies for Challenging Form Factors
  *   High Performance Embedded Computing
  *   Fault-Tolerant Computing

If you have any questions about HPEC, please feel free to contact us.

Regards.  -Jeremy & Albert (HPEC Co-Chairs)



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