27th Annual
IEEE High Performance Extreme Computing Virtual Conference
25 - 29 September 2023


Tuesday, September 26


2-K: Keynote Session (10:30-11:00)

Co-Chairs: J. Kepner & A. Reuther

Mission Critical: Power of Operationalizing Data & AI
Eileen Vidrine (Dept. of the Air Force Chief Data & AI Officer)

2-1: Graph Analytics & Network Science 1 Session (11:00-12:15)

Co-Chairs: M. Barnell & X. Sun

Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices
Jeremy Kepner, Michael S Jones (MIT Lincoln Laboratory), Phil Dykstra (HPCMP DREN), Chansup Byun (MIT Lincoln Laboratory), Timothy Davis (Texas A&M), Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein (MIT Lincoln Laboratory), Lauren Milechin (MIT), Guillermo Morales, Julie Mullen, Ritesh Patel (MIT Lincoln Laboratory), Alex Pentland (MIT), Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas (MIT Lincoln Laboratory)
Parallel Longest Common SubSequence Analysis In Chapel
Soroush Vahidi, Baruch Schieber (New Jersey Inst. of Tech.), Zhihui Du, David Bader (New Jersey Inst. of Tech.)
Exploiting Fusion Opportunities in Linear Algebraic Graph Query Engines
Yuttapichai Kerdcharoen, Upasana Sridhar, Tze Meng Low (Carnegie Mellon Univ.)
Parallel Clustering with Resolution Variation
Nikos P Pitsianis (Aristotle Univ. of Thessaloniki), Dimitris Floros, Tiancheng Liu, Xiaobai Sun (Duke University)

Poster Session: 2-P (12:15-14:15) Poster Session

Chair(s)/Host(s): TBD & TBD

Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection
Lakshmi V Nair, David Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar (Lightmatter), Ioannis Papavasileiou, Shihu Wang, Eric Logan (Corning)
Deep Learning Recommendation Model Training Co-design with the Dynamic Opera Network
Connor Imes, Andrew J Rittenbach, Peng Xie, Dong-In Kang, John Paul Walters, Stephen Crago (USC Information Sciences Institute)
Similarity Computation based on the Tails of the Rank Distributions and the Related Graphs
Cecilia Bolea (Romanian Academy), Mike Teodorescu (Univ. of Washington), Silviu Bejnariu, Daniela Gifu (Romanian Academy), Horia Teodorescu (Technical Univ. Iasi), Vasile Apopei (Romanian Academy)
Automated and Waterless Cleaning of Solar Panels using Unmanned Aerial Vehicle and Machine Learning
Sahaj Dargan, Abhinav Vaddiraju, Ayush Singh, Jigyasu Pant (Vellore Inst. of Tech.)
Accuracy Analysis of Hotel Review Information using Machine Learning
Abu Asaduzzaman, Md Raihan Uddin, Ghana S. Kutala, Yoel Woldeyes (Wichita State Univ.)
Big Data Opportunities in Production Records at Air Force Maintenance Depots
Braden Eichmeier (US Air Force)
Examining the Impact of Artificial Intelligence on Cybersecurity within the Internet of Things
Mayur Rele (Parachute Health), Dipti Patil (Univ. of Cumberlands)
Assessing Generative Adversarial Networks for Advanced Deepfake Creation Using Network Analysis
Minakshi Arya (NDSU), Shubhavi Arya (Indiana Univ.), Saatvik Arya (Univ. of Washington)
Human Capital Risk Frameworks
Taylor Hilliard, Rebekah C Magness, Jordan Tribble (DAF-MIT/AIA)
E-Learning Platform for Medical Students
Dany Poly, Ishika Gupta, Hanah Susan Zachariah, Shagufta Rajguru, Rakhi Kalantri (Fr. Conceicao Rodrigues Inst. of Tech.)

2-2: Graph Analytics & Network Science 2 Session (12:30-13:45)

Co-Chairs: K.Cain & F. Indiviglio

Property Graphs in Arachne
Oliver Alvarado Rodriguez, Fernando Vera Buschmann, Zhihui Du, David Bader (New Jersey Inst. of Tech.)
Opportunistic Query Execution on SmartNICs for Analyzing In-Transit Data
Jianshen Liu, Carlos Maltzahn (UC Santa Cruz), Craig Ulmer (SNL)
Parallel Algorithms for Computing Jaccard Weights on Graphs using Linear Algebra
Elaheh Hassani, Md Taufique Hussain, Ariful Azad (Indiana Univ.)
Fast Spectral Graph Partitioning with a Randomized Eigensolver
Heliezer J Espinoza (Cal Poly Pomona), Jennifer A Loe, Erik Boman (SNL)

2-3: Graph Analytics & Network Science 3 Session (14:15-15:30)

Co-Chairs: C.Hillegas & X. Sun

Decomposition Based Refinement for the Network Interdiction Problem
Krish Matta (Carnegie Mellon Univ.), Xiaoyuan Liu (Fujitsu Research), Ilya Safro (Univ. of Delaware)
TenSQL: An SQL Database Built on GraphBLAS [Outstanding Paper Award]
Jonathan P Roose (SNL), Miheer Vaidya, Ponnuswamy Sadayappan (Univ. of Utah), Siva Rajamanickam (SNL)
A Framework for Analyzing the Robustness of Graph Models
Khaled Abdelaal, Richard Veras (Univ. of Oklahoma)
A Look into a GraphBLAS entry point into an LLVM Lowering Pass, with A Precision Formatting Example
Roy P Gulla (Oasis Gaming)
Mapping of Internet “Coastlines” via Large Scale Anonymized Network Source Correlations
Hayden R Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun (MIT Lincoln Laboratory), Timothy Davis (Texas A&M), Vijay Gadepally (MIT Lincoln Laboratory), Daniel Grant (GreyNoise), Michael Houle, Matthew Hubbell, Anna Klein (MIT Lincoln Laboratory), Lauren Milechin (MIT), Guillermo Morales (MIT Lincoln Laboratory), Andrew Morris (GreyNoise), Julie Mullen, Ritesh Patel (MIT Lincoln Laboratory), Alex Pentland (MIT), Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas (MIT Lincoln Laboratory)

2-4: AI / Machine Learning 1 Session (15:45-17:00)

Co-Chairs: F. Indiviglio & D. Ricke

Advanced Ultra Low-Power Deep Learning Applications with Neuromorphic Computing
Mark Barnell, Courtney Raymond, Lisa Loomis (AFRL), Darrek Isereau, Daniel Brown, Francesca Vidal, Steven Smiley (SRC)
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
Siddharth Samsi (MIT Lincoln Laboratory), Dan Zhao (NYU), Joseph McDonald (MIT Lincoln Laboratory), Baolin Li (Northeastern Univ.), Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner (MIT Lincoln Laboratory), Divesh Tiwari (Northeastern Univ.) Vijay Gadepally (MIT Lincoln Laboratory)
Towards the FAIR Asset Tracking across Models, Datasets, and Performance Evaluation Scenarios
Piotr Luszczek, Tokey Tahmid (Univ. of Tennessee)
Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity [Best Student Paper Award]
Avik Pal, Alan Edelman, Christopher Rackauckas (MIT)
Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Natural Language Processing, Scientific Computing, and Cryptocurrency Mining
Sadasivan Shankar (Stanford Univ.)

2-S1: New Application Frontiers Special (17:30-19:30)

Co-Chairs: TBD & TBD

MAVR: Multi-functional Point Cloud Annotations Using Virtual Reality
Xiao Zhang, Zhanhong Huang, Xinming Huang (WPI)
Addressing Endpoint-induced Congestion for Accelerator Scale-Out in a Medium-Scale Domain
Timothy Chong, Venkata Krishnan (Intel)
Automatic Differentiation for Inverse Problems with Applications in Quantum Transport
Ivan Williams, Eric Polizzi (UMass Amherst)
Parallel Quasi-concave Set Function Optimization for Scalability Even without Submodularity
Praneeth Vepakomma (MIT), Yulia Kempner (Holon Inst. of Tech.), Rodmy Paredes Alfaro, Ramesh Raskar (MIT)

2-S2: GraphBLAS BoF Special (17:30-19:30)

Co-Chairs: T. Mattson and S. McMillan