[Crib-list] Next Week! Register Now! MIT IEEE/SIAM HPEC (Sep 23-27) free virtual conference

Wed Sep 18 08:52:34 EDT 2024

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 the largest and most accessible US virtual conferences.  Register now at IEEE-HPEC.org<https://ieee-hpec.org/>

HPEC distinguished speakers include:

  *   Day 1 Kickoff: Prof. Peter Fisher<https://en.wikipedia.org/wiki/Peter_H._Fisher> (MIT Vice Provost & Assoc VP for Research Computing & Data, AAAS & APS Fellow) – Where We Stand: Education, Research, and High Performance Computing
  *   Day 1 Keynote: Prof. Shafi Goldwasser<https://simons.berkeley.edu/people/shafi-goldwasser> (Director Simons Theory of Computing Institute, ACM A.M. Turing Award, AAAS, NAS, NAE) – Verification in ML
  *   Day 2 Keynote: 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
  *   Day 3 Keynote: Dr. Scott Yockel<https://rc.harvard.edu/about-us/scott-yockel/> (Harvard University Research Computing Officer) – The Building Blocks of Cloud – Research Enablement
  *   Day 4 Keynote: Dr. Dan Stanzione<https://tacc.utexas.edu/about/staff-directory/dan-stanzione/> (University of Texas Assoc VP for Research & Director Advanced Computing Center) – Convergence across the Computing Continuum: The NSF Leadership Class Computing Facility meets the Edge, Interactive Computing, and Low-Precision AI
  *   Day 5 Keynote: 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) – AI/ML Applications for Global Security
  *   Dr. Prasanna Balaprakash<https://www.ornl.gov/staff-profile/prasanna-balaprakash> (Director of AI Programs, Oak Ridge National Laboratory) – The SWARM Project: Reimagining Workflow and Resource Management Systems with Swarm Intelligence
  *   Boris Gamazaychikov<https://www.linkedin.com/in/bgamazay/> (Salesforce, Senior Manager of Emissions Reduction)
  *   Gary Grider<https://public.lanl.gov/ggrider/> (Los Alamos National Laboratory HPC Dept. Division Leader) – From Simple to Hyper Co-Design of HPC Platforms
  *   Joel Grimm<https://www.linkedin.com/in/joel-grimm/> (MIT LL, BeaverWorks) – Scaling Project-based Learning from Education to Research
  *   Dr. Eliu Huerta<https://www.anl.gov/profile/eliu-a-huerta> (Argonne National Laboratory Lead for Translational AI) – The Convergence of Intuitive AI and Exascale Computing: Redefining What’s Possible
  *   Prof. Fredrik Kjolstad<https://fredrikbk.com/> (Stanford) – The Future of Sparse Computing is Compilers
  *   Robert Knake<https://www.linkedin.com/in/rknake/> (Fmr Deputy National Cyber Director, White House Director Cybersecurity) – The National Cybersecurity Strategy: A Progress Report
  *   Vasudev Lal<https://www.linkedin.com/in/vasudev-lal-79bb336/> (Intel Labs, Principal AI Research Scientist)
  *   Teddy Lynch (NSA Chief Early External Education in Cybersecurity) – National Centers of Academic Excellence in Cybersecurity Program
  *   Susan Mehringer<https://www.cac.cornell.edu/mehringer/> (Cornell Center for Advanced Computing) – HPC-ED: A Federated Catalog to Share and > Discover CyberTraining Materials
  *   MSgt Chasen Milner<https://www.linkedin.com/in/chasenmilner/> (DAF AI Accelerator) – Educational Game Dev from Start to Finish: A Short Example
  *   Kartik Talamadupula <http://www.ktalamad.com/>  (Symbl.ai, Director of AI Research)
  *   Col. Scott Weed (USAF) – Operational AI/ML Opportunities
  *   Prof. John Urbanic<https://www.psc.edu/john-urbanic/> (CMU and Pittsburgh Supercomputing Center)

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)

HPEC awards include:

Benchmarking Thread Block Cluster<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#3-4> [Best Paper Award]
Tim Lühnen, Tobias Marschner (Hamburg Univ. of Tech.), Sohan Lal (TU Hamburg)
MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-2> [Outstanding Paper Award]
Tal Kadosh (Ben-Gurion Univ., IAEC), Niranjan Hasabnis (Intel), Vy Vo (Intel Labs), Nadav Schneider (Ben-Gurion University), Neva Krien (Independent), Mihai Capotă (Intel Labs), Abdul Wasay, Guy Tamir (Intel), Theodore L Willke, Nesreen Ahmed (Intel Labs), Yuval Pinter (Ben-Gurion University), Tim Mattson (Human Learning Group), Gal Oren (Technion)
LLM Inference Serving: Survey of Recent Advances and Opportunities<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-2> [Outstanding Paper Award]
Baolin Li, Yankai Jiang (Northeastern Univ.), Vijay Gadepally (MIT Lincoln Laboratory), Devesh Tiwari (Northeastern Univ.)
ModelGauge: Inference Profiling of Deep-Learning Models<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#3-1> [Outstanding Paper Award]
Calvin B Gealy (Univ. of Pittsburgh), David Langerman (NSF SHREC), Alan George (NSF Center for High Performance Reconfigurable Computing)
Multilevel Diffusion Based Spectral Graph Clustering<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-3> [Outstanding Paper Award]
Malik Lechekhab, Dimosthenis Pasadakis, Olaf Schenk (Univ. della Svizzera italiana)
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#1-1> [Outstanding Paper Award]
William Bergeron, Matthew Hubbell, Daniel Mojica, Albert Reuther, William Arcand, David Bestor, Daniel Burrill, Chansup, Byun, Vijay Gadepally, Michael Houle, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas (MIT), Lauren Milechin (MIT ORCD), Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner (MIT Lincoln Laboratory)

Predictive Performance of Photonic SRAM-based In-Memory Computing for Tensor Decomposition<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#1-2> [Best Student Paper Award]
Sasindu Wijeratne (USC), Sugeet Sunder (USC Information Sciences Institute), Md Abdullah-Al Kaiser, Akhilesh Jaiswal (Univ. of Wisconsin), Clynn Mathew, Ajey Jacob (USC Information Sciences Institute), Viktor K Prasanna (USC)
Benchmarking the Performance of Large Language Models on the Cerebras Wafer Scale Engine<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-2> [Outstanding Student Paper Award]
Zuoning Zhang, Dhruv Parikh (USC), Youning Zhang (UC, Berkeley), Viktor K Prasanna (USC)
On the Scalability of Computing Genomic Diversity Using SparkLeBLAST: A Feasibility Study<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-1> [Outstanding Student Paper Award]
Ritvik R Prabhu, Bernard Moussad (Virginia Tech), Karim Youssef (LLNL), Emil Vatai (RIKEN), Wu-chun Feng(Virginia Tech)
Batch-Parallel Compressed Sparse Row: A Locality-Optimized Dynamic-Graph Representation<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-3> [Outstanding Student Paper Award]
Brian Wheatman, Randal Burns (Johns Hopkins Univ.), Helen Xu (Georgia Inst. of Tech.)
Cycle-Stealing in Load-Imbalanced HPC Applications<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#5-1> [Outstanding Student Paper Award]
Po Hao Chen (Brown University), Akshaya Bali, Shining Yang, Pouya Haghi, Carlton Knox, Benjamin Li (Boston Univ.), Amr Abouelmagd, Anthony Skjellum (Tennessee Tech), Martin Herbordt (Boston Univ.)
Tightly-Coupled FPGA Accelerator for Molecular Dynamics Simulation: Hardware-Software Co-Design and Fine-Grained Task Management<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#5-1> [Outstanding Student Paper Award]
Zekang Cheng, Zerong S He, Xi Jin (Univ. of Science and Technology of China)

Running GraphBLAS on the FABRIC testbed<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-P> [Outstanding Short Paper Award]
Vaneshi Ramdhony, Hyunsuk Bang, Nik Sultana (Illinois Institute of Technology)
Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-P> [Outstanding Short Paper Award]
Michael D Houle, Michael Jones (MIT Lincoln Laboratory), Dan Wallmeyer, Risa Brodeur, Justin Burr (Center for Internet Security), Hayden Jananthan (MIT Lincoln Laboratory), Sam Merrell (Center for Internet Security), Peter Michaleas (MIT Lincoln Laboratory), Anthony Perez (Center for Internet Security), Andrew Prout, Jeremy Kepner (MIT Lincoln Laboratory)
Performance Analysis of Falcon Post-Quantum Cryptography in Embedded Hardware-Software Integration<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#2-P> [Outstanding Short Paper Award]
John Biselx (HES-SO), Andrea Guerrieri (HES-SO and EPFL)
Enhanced Knowledge Graph Attention Networks for Efficient Graph Learning<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#3-1> [Outstanding Student Paper Award]
Fernando P Vera Buschmann, Zhihui Du, David A Bader (New Jersey Inst. of Tech.)
CLIP-Embed-KD: Computationally Efficient Knowledge Distillation Using Embeddings as Teachers<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#3-P> [Outstanding Short Paper Award]
Lakshmi V Nair (Lightmatter)
Synthesizing Numerical Linear Algebra using Julia<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#5-P> [Outstanding Short Paper Award]
Sophie Xuan, Rabab MA Alomairy, Evelyne Ringoot, Felipe Tome, Julian Samaroo, Alan Edelman (MIT)
Towards LibraryX: A Framework for Cross-Library Call Optimization<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#5-P> [Outstanding Short Paper Award]
Sanil Rao, Anant Prakash, Franz Franchetti (Carnegie Mellon Univ.)

Mercury: Efficient Subgraph Matching on GPUs with Hybrid Scheduling<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-4> [Graph Challenge Champion Award]
Zhiheng Lin (Inst. of Computing Tech, CAS), Changjie Xu (UCAS), Ke Meng, Guangming Tan (Inst. of Computing Tech, CAS)
Towards Faster Graph Partitioning via Pre-training and Inductive Inference<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-4> [Graph Challenge Champion Award]
Meng Qin (HKUST), Chaorui Zhang (Huawei), Yu Gao (Independent), Yibing Ding, Weipeng Jiang (Huawei), Weixi Zhang (Huawei Technologies), Wei Han (Huawei), Bo Bai (Huawei Technologies)
Distributed-Memory Sparse Deep Neural Network Inference Using Global Arrays<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-4> [Graph Challenge Innovation Award]
Sayan Ghosh, Bruce Palmer, Andres Marquez (PNNL)
Extracting TCPIP Headers at High Speed for the Anonymized Network Traffic Graph Challenge<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-4> [Graph Challenge Innovation Award]
Zhaoyang Han, Andrew Briasco-Stewart (Northeastern Univ.), Michael Zink (UMass Amherst), Miriam Leeser(Northeastern Univ.)
Sans: Streaming Anonymized Network Sensing<https://ieee-hpec.org/index.php/ieee-hpec-2024-prelim-agenda/#4-4> [Graph Challenge Honorable Mention Award]
Ketai Zhao, Yuhang Zhou, Hong Xu Pan, Zhibin Wang, Sheng Zhong, Chen Tian (Nanjing Univ.)

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.mit.edu/pipermail/crib-list/attachments/20240918/ce24fecc/attachment.htm>