[Crib-list] Announce: MIT IEEE/SIAM HPEC (Sep 23-27) free virtual conference

[Yufei An]

Colleagues,
  Please share with your colleagues.  The MIT organized (in cooperation with SIAM) IEEE High Performance Extreme Computing (HPEC<https://ieee-hpec.org/>) free virtual conference (Sep 23-27) features many world-class research projects on computation in a 150+ presentation agenda<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/> featuring 30+ talks on AI.  HPEC is one of largest and most accessible US virtual conferences.  Register now at IEEE-HPEC.org<https://ieee-hpec.org/>

HPEC distinguished speakers include:


  *   Dr. Eric Evans<https://www.ll.mit.edu/biographies/eric-d-evans> (Fmr Director MIT Lincoln Laboratory, Chair Defense Science Board, IEEE & AIAA Fellow, NAE)
  *   Prof. Peter Fisher<https://en.wikipedia.org/wiki/Peter_H._Fisher> (MIT Vice Provost & Assoc VP for Research Computing & Data, AAAS & APS Fellow)
  *   Prof. Shafi Goldwasser<https://simons.berkeley.edu/people/shafi-goldwasser> (Director Simons Theory of Computing Institute, ACM A.M. Turing Award, AAAS, NAS, NAE)
  *   Gary Grider<https://public.lanl.gov/ggrider/> (Los Alamos National Laboratory HPC Dept. Division Leader) – From Simple to Hyper Co-Design of HPC Platforms
  *   Dr. Tina Kaarsberg<https://www.linkedin.com/in/tina-kaarsberg-phd-b8bbaa3/> (DOE Advanced Materials & Manufacturing Technologies Office) – Energy Efficiency Scaling for 2 Decades (EES2) Roadmap for Computing
  *   Robert Knake<https://www.linkedin.com/in/rknake/> (Fmr Deputy National Cyber Director, White House Director Cybersecurity) – The National Cybersecurity Strategy: A Progress Report
  *   Dr. Dan Stanzione<https://tacc.utexas.edu/about/staff-directory/dan-stanzione/> (University of Texas Assoc VP for Research & Director Advanced Computing Center)
  *   Col. Scott Weed (USAF) - Operational AI/ML Opportunities
  *   Dr. Scott Yockel<https://rc.harvard.edu/about-us/scott-yockel/> (Harvard University Research Computing Officer)

HPEC special sessions include:


  *   Large Language Models<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#3-S1>; organizer: Dr. Vijay Gadepally<https://vijayg.mit.edu/> (MIT LLSC) and Dr. Daniel Burrill (MIT LLSC)
  *   Tutorial: SPIRAL; organizers: Prof. Franz Franchetti and Mike Franusich (http://www.spiral.net/tutorial-spiral.html)
  *   MIT/Amazon/IEEE Graph Challenge<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-4>
  *   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: Boosting Resilience through Artificial Intelligence for Networked Systems<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#1-4>; organizers: Dr. Sandeep Pisharody<http://pisharody.mit.edu/> (MIT LL) and John Holodnak<https://www.ll.mit.edu/biographies/john-holodnak> (MIT LL)
  *   Scaling Research Computing Education<https://supercloud.mit.edu/scaling-hpc-education>; organizers: Dr. Julie Mullen<https://www.linkedin.com/in/juliamullen/> (MIT LLSC),  Lauren Milechin<https://www.linkedin.com/in/lauren-milechin/> (MIT ORCD), and Dr. Hayden Jananthan (MIT LLSC)

MIT HPEC highlights include:

- LLM Inference Serving: Survey of Recent Advances and Opportunities<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-2>
- Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#1-1>
- Synthesizing Numerical Linear Algebra using Julia<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#5-P>
- Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-P>
- What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#1-4>
- Anonymized Network Sensing Graph Challenge<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-4>
- LLMs for Closed-Library Multi-Document Query, Test Generation, and Evaluation<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-P>
- GPU Sharing with Triples Mode<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#5-3>
- LLload: An Easy-to-Use HPC Utilization Tool<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#5-2>
- Composable Mission-Critical Embedded System Architecture for High Assurance<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#1-4>
- Explainable DiGCNs for Decomposition of Opaque Node Ranking Functions<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-P>
- Applying Natural Language Processing for Initial Categorizing of Product Descriptions<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-P>
- Elucidating US Import Supply Chain Dynamics: A Spatial-Temporal Graph Neural Network Approach<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-2>
- Mobile-Optimized Vessel Segmentation for Ultrasound-Guided Surgical Procedures<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#3-1>
- Breakthrough LLM inference performance using NorthPole<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-1>
- Perspective-Aware Ai (PAi) for Augmenting Critical Decision Making<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-P>
- Syndeo: Portable Ray Clusters with Secure Containerization<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#5-1>
- Dynamic Task Scheduling with Data Dependency Awareness Using Julia<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#1-1>

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