2022 IEEE High Performance
Extreme Computing
Virtual Conference
19 - 23 September 2022
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IEEE HPEC Preliminary Agenda 2022
All times are EDT (UTC/GMT -04 hours)
Monday, September 19
1-V: Sponsor Showcase – Lenovo Session (10:30-11:00)
Co-Chairs: Albert Reuther
- TBD
- Scott Tease (Lenovo)
1-1: Advanced Multicore Software Technologies Session (11:00-12:15)
Co-Chairs: Franz Franchetti & Brian Sroka
- Performance speedup of Quantum Espresso using optimized AOCL-FFTW
- S. Biplab Raut (AMD)
- Task-Parallel Programming with Constrained Parallelism
- Tsung-Wei Huang (University of Utah); Leslie Hwang (Synopsis)
- HashTag: Fast Lookup in a Persistent Memory Filesystem
- Matthew Curtis-Maury; Yash Trivedi (NetApp)
- Computing In-Place FFTs with SIMD Lane Slicing
- Benoît Dupont de Dinechin (Kalray)
- Applying the Midas Touch of Reproducibility to High-Performance Computing
- Austin Minor; Wu-chun Feng (Virginia Tech)
Poster Session: 1-P (12:15-15:45): Poster Session 1
Chair(s)/Host(s): Yehia Arafa & TBD
- Resource-Constrained Optimizations For Synthetic Aperture Radar On-Board Image Processing [Outstanding Paper Award]
- Maron Schlemon (German Aerospace Center); Martin Schulz (TU Munich); Rolf Scheiber (German Aerospace Center)
- Enhancing the Performance Portability of Heterogeneous Circuit Analysis Programs
- Tsung-Wei Huang (University of Utah)
- Kv2vec: A Distributed Representation Method for Key-value Pairs from Metadata Attributes
- Chenxu Niu; Wei Zhang (Texas Tech Univ.); Suren Byna (LBNL); Yong Chen (Texas Tech Univ.)
- Unsupervised Adaptation of Spiking Networks in a Gradual Changing Environment
- Zaidao Mei (Syracuse Univ.); Mark Barnell (Air Force Research Laboratory); Qinru Qiu (Syracuse Univ.)
- Predicting Ankle Moment Trajectory with Adaptive Weighted Ensemble of LSTM Networks
- Emilia A Grzesiak; Ho Chit Siu; Jennifer Sloboda (MIT Lincoln Laboratory)
- Interval Arithmetic-based FFT for Large Integer Multiplication
- Zibo Gong; Nathan Zhu; Matt Ngaw (Carnegie Mellon Univ.); Joao Rivera (ETH Zurich); Larry Tang; Eric Tang; Het Mankad; Franz Franchetti (Carnegie Mellon Univ.)
- Machine Learning for Accurate and Fast Bandgap Prediction of Solid-State Materials
- Shomik Verma; Shivam Kajale; Rafael Gomez-Bombarelli (MIT)
- Systolic Array based FPGA accelerator for Yolov3-tiny
- Prithvi Velicheti; Sivani Pentapati; Suresh Purini (IIIT Hyderabad)
- Epigenetics and Transcriptomics Quality Control Pipelines in a HPC Environment
- Darrell O Ricke (MIT Lincoln Laboratory); Derek Ng (Northeastern Univ.); Philip Fremont-Smith; Adam Michaleas; Rafael Jaimes (MIT Lincoln Laboratory)
1-2: Cloud HPEC Session (12:30-13:45)
Co-Chairs: Brian Sroka & Laura Brattain
- Invited Talk: HPC Matters! How Supercomputing Supports NASA’s Mission
- Dr. Piyush Mehrotra (NASA)
- Scalable Interactive Autonomous Navigation Simulations on HPC
- Wesley Brewer; Joel Bretheim (HPCMP PET/GDIT); John Kaniarz (DEVCOM Ground Vehicle Systems Center); Peilin Song; Burhman Gates (Engineer Research & Development Center)
- Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations
- Utkarsh (IIT Kanpur); Chris Elrod; Yingbo Ma; Christopher Rackauckas (Julia Computing)
- SuperCloud Lite in the Cloud – Lightweight, Secure, Self-Service, On-Demand Mechanisms for Creating Customizable Research Computing Environments
- Kelsie Edie (US Military Academy); Kurt Keville; Lauren Milechin; Chris N Hill (MIT)
- Site-Wide HPC Data Center Demand Response
- Daniel C Wilson; Ioannis Paschalidis; Ayse K. Coskun (Boston Univ.)
1-3: Quantum and Non-Deterministic Computing Session (14:15-15:30)
Co-Chairs: Patrick Dreher & Donato Kava
- C2QA – Bosonic Qiskit [Outstanding Paper Award]
- Timothy Stavenger (PNNL); Eleanor Crane (JQI, QuICS); Kevin Smith (Brookhaven National Laboratory, Yale Univ.); Christopher T Kang (Univ. of Washington); Steven Girvin (Yale Univ.); Nathan Wiebe (Univ. of Toronto, PNNL)
- Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation [Outstanding Student Paper Award]
- Cameron A Ibrahim (Univ. of Delaware); Danylo Lykov (Argonne National Laboratory); Zichang He (UC Santa Barbara); Yuri Alexeev (Argonne National Laboratory); Ilya Safro (Univ. of Delaware)
- Quantum Netlist Compiler (QNC)
- Shamminuj Aktar; Abdel-Hameed A. Badawy (New Mexico State Univ.); Nandakishore Santhi (Los Alamos National Laboratory)
- Hardware Design and Implementation of Classic McEliece Post-Quantum Cryptosystem Based on FPGA
- Shaofen Chen; Haiyan Lin; Wenjin Huang; Yihua Huang (Sun Yat-sen Univ.)
- Hardware Design and Implementation of Post-Quantum Cryptography Kyber
- Qingru Zeng; Quanxin Li; Baoze Zhao; Han Jiao; Yihua Huang (Sun Yat-sen Univ.)
1-4: BRAIDS – Boosting Resilience through Artificial Intelligence and Decision Support Session (15:45-17:00)
Co-Chairs: Courtland VanDam & Sandeep Pisharody
- Invited Talk: Welcome to CyberWar: Long Term Ramifications Unleashed by Russia’s War
- Barry Greene (Akamai)
- Distributed Hardware Accelerated Secure Joint Computation on the COPA Framework [Outstanding Student Paper Award]
- Rushi Patel; Pouya Haghi (Boston Univ.); Shweta Jain; Andriy Kot; Venkata Krishnan (Intel); Mayank Varia; Martin Herbordt (Boston Univ.)
- Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic
- Ivan Kawaminami; Arminda Estrada; Youssef Elsakkary (Univ. of Arizona); Hayden Jananthan (MIT LLSC); Aydin Buluc (LBNL); Tim Davis (Texas A&M Univ.); Daniel Grant (GreyNoise); Michael Jones (MIT LLSC); Chad Meiners (MIT Lincoln Laboratory); Andrew Morris (GreyNoise); Sandeep Pisharody (MIT Lincoln Laboratory); Jeremy Kepner (MIT LLSC)
- Edge Computing Security for a Multi-Agent System
- Alice Lee; Karen Gettings; Matthias Beebe; Paul Monticciolo; Michael Vai (MIT Lincoln Laboratory)
- Invited Talk: Proposed Empirical Assessment of Remote Workers’ Cyberslacking and Computer Security Posture to Assess Organizational Cybersecurity Risks
- Ariel Luna; Yair Levy; Greg Simco; Wei Li (Nova Southeastern University)
1-S1: Sky Computing – Toward Efficient Computing on the Cloud Special (17:30-19:30)
Organizers: Marco Montes de Oca, Luna Xu, Erica Lin, Suraj Bramhavar, Jeffrey Chou (Sync Computing)
- Deep Dive in Uber’s Remote Shuffle Service for Apache Spark
- Bo Yang (Stealth Startup)
- Taming High-Performance Computing Platform Heterogeneity with Machine Learning
- Prasanna Balaprakash (Argonne National Laboratory)
- Optimizing Heterogeneous Computing Resources Based Only on Cost and Time
- Suraj Bramhavar (Sync Computing)
- AI-Powered Acceleration of Deep Learning Inference on the Cloud
- Glenn Ko (Stochastic)
- Cost-Effective Batch Scheduling in the Cloud
- Chaoran Yu (Apple)
Tuesday, September 20
2-V: Keynote Session (10:30-11:00)
Co-Chairs: Jeremy Kepner & Albert Reuther
- Reflections on a Career in Computer Science
- Prof. Barbara Liskov (MIT CSAIL)
2-1: Graph Analytics & Network Science 1 Session (11:00-12:15)
Co-Chairs: John Gilbert & Chris Long
- Invited Talk: The NSF Computing and Information Science and Engineering Landscape: A Look Forward
- Dr. Almadena Chtchelkanova (NSF)
- GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic [Outstanding Paper Award]
- Michael S Jones; Jeremy Kepner (MIT LLSC); Daniel Andersen (CAIDA); Aydın Buluc ̧(LBNL); Chansup Byun (MIT LLSC); K Claffy (CAIDA); Timothy Davis (Texas A&M); William Arcand (MIT LLSC); Jonathan Bernays (MIT Lincoln Laboratory); David Bestor; William Bergeron; Vijay Gadepally; Micheal Houle; Matthew Hubbell; Hayden Jananthan; Anna Klein (MIT LLSC); Chad Meiners (MIT Lincoln Laboratory); Lauren Milechin (MIT); Julie Mullen (MIT LLSC); Sandeep Pisharody (MIT Lincoln Laboratory); Andrew Prout; Albert Reuther; Antonio Rosa; Siddharth Samsi (MIT LLSC); Jon Sreekanth (Accolade Technology); Doug Stetson (MIT Lincoln Laboratory); Charles Yee; Peter Michaleas (MIT LLSC)
- Analyzing Multi-trillion Edge Graphs on Large GPU Clusters: A Case Study with PageRank [Outstanding Paper Award]
- Seunghwa Kang; Joseph Nke; Brad Rees (NVIDIA)
- Achieving Speedups for Distributed Graph Biconnectivity
- Ian Bogle; George M. Slota (RPI)
- Generating Permutations Using Hash Tables
- Oded Green; Corey Nolet; Joe Eaton (NVIDIA)
Poster Session: 2-P (12:15-15:45): Poster Session 2
Chair(s)/Host(s): Yehia Arafa & TBD
- ProtoX: A First Look
- Het Mankad; Sanil Rao (Carnegie Mellon Univ.); Phillip Colella; Brian Van Straalen (Lawrence Berkeley National Laboratory); Franz Franchetti (Carnegie Mellon Univ.)
- Magic Memory: A Programming Model For Big Data Analytics
- Eric Tang; Franz Franchetti (Carnegie Mellon Univ.)
- Approximating Manifolds and Geodesics with Curved Surfaces
- Peter Oostema; Franz Franchetti (Carnegie Mellon Univ.)
- Network Automation in Lab Deployment Using Ansible and Python
- V Andal Priyadharshini; Anumalasetty Yashwanth Nath (SRM Institute of Science and Technology)
- Optimizations to Increase JDBC Driver Performance in Spark
- Deeptaanshu Kumar (Carnegie Mellon Univ.); Suxi Li ( Univ. of Miami)
- Arachne: An Arkouda Package for Large-Scale Graph Analytics
- Oliver A Alvarado Rodriguez; Zhihui Du; Joseph T Patchett; Fuhuan Li; David Bader (New Jersey Inst. of Tech.)
- Triangle Centrality in Arkouda
- Joseph T Patchett; Zhihui Du; Fuhuan Li; David Bader (New Jersey Inst. of Tech.)
- Image Recognition Using Machine Learning For Forbidden Items Detection In Airports
- Alaa Atef; Abde-ljalil Naser; Mahmoud Mohamed; Mariam Safwat; Menna Tulla Ayman; Mohamed Mostafa; Salma Hesham (Ain Shams University); Khaled Salah (Siemens)
2-2: Graph Analytics & Network Science 2 Session (12:30-13:45)
Co-Chairs: John Gilbert & Chris Long
- Hypersparse Network Flow Analysis of Packets with GraphBLAS
- Tyler Trigg; Chad Meiners; Sandeep Pisharody (MIT Lincoln Laboratory); Hayden Jananthan; Michael Jones (MIT LLSC); Adam Michaleas (MIT Lincoln Laboratory); Timothy Davis (Texas A&M Univ.); Erik Welch (NVIDIA); William Arcand; David Bestor; William Bergeron; Chansup Byun; Vijay Gadepally; Micheal Houle; Matthew Hubbell; Anna Klein; Peter Michaleas (MIT LLSC); Lauren Milechin (MIT); Julie Mullen; Andrew Prout; Albert Reuther; Antonio Rosa; Siddharth Samsi (MIT LLSC); Doug Stetson (MIT Lincoln Laboratory); Charles Yee; Jeremy Kepner (MIT LLSC)
- SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics
- Pengmiao Zhang (Univ. of Southern California); Rajgopal Kannan (US Army Research Lab-West); Xiangzhi Tong (Xi’an Jiaotong-Liverpool Univ.); Anant V Nori (Intel Labs); Viktor K Prasanna (Univ. of Southern California)
- Fast Graph Algorithms for Superpixel Segmentation
- Dimitris Floros (Aristotle Univ. of Thessaloniki); Tiancheng Liu (Duke Univ.); Nikos P Pitsianis (Aristotle Univ. of Thessaloniki, Duke Univ.); Xiaobai Sun (Duke Univ.)
- Explicit Ordering Refinement for Accelerating Irregular Graph Analysis
- Michael Mandulak; Ruochen Hu; George M Slota (RPI)
- Efficient Calculation of Triangle Centrality in Big Data Networks
- Wali Mohammad Abdullah; David Awosoga; Shahadat Hossain (Univ. of Lethbridge)
2-3: Data Intensive Computing Session (14:15-15:30)
Co-Chairs: Xiaobai Sun & Nikos Pitsianis
- Enabling Novel In-Memory Computation Algorithms to Address Next-Generation Throughput Constraints on SWaP-Limited Platforms
- Jessica M Ray; Chad Meiners (MIT Lincoln Laboratory)
- Towards Fast Crash-Consistent Cluster Checkpointing
- Andrew E Wood (Boston Univ.); Moshik Hershcovitch (IBM Research); Ilias Ennmouri (IBM); Weiyu Zong; Saurav Chennuri (Boston Univ.); Sarel Cohen (The Academic College of Tel Aviv-Yaffo); Swaminathan Sundararaman (IBM); Daniel G Waddington (IBM Research); Peter Chin (Dartmouth Univ.)
- Automatic Generation of Matrix-Vector Code Using SPIRAL for the Power10 ISA
- James Nguyen; Sanil Rao (Carnegie Mellon Univ.); Jose Moreira (IBM); Franz Franchetti (Carnegie Mellon Univ.)
- Towards Hardware Accelerated Garbage Collection with Near-Memory Processing
- Samuel Thomas; Jiwon Choe (Brown Univ.); Ofir Gordon; Erez Petrank (Technion Inst.); Tali Moreshet (Boston Univ.); Maurice Herlihy (Brown Univ.); Ruth Iris Bahar (Colorado School of Mines)
- RaiderSTREAM: Adapting the STREAM Benchmark to Modern HPC Systems
- Michael Beebe; Brody Williams; Stephen Devaney (Texas Tech Univ.); John Leidel (Tactical Computing Laboratories); Yong Chen (Texas Tech Univ.); Steve Poole (Los Alamos National Lab)
2-4: Scaling HPC Education Session (15:45-17:00)
Co-Chairs: Julie Mullen, Lauren Milechin & Hayden Jananthan
- Invited Talk: TBD
- Dr. Dhruva Chakravorty (Texas A&M Univ.)
- Invited Talk: TBD
- Dennis Milechin (Boston Univ.)
- Invited Talk: TBD
- Dr. Eric Coulter (Georgia Tech)
2-S1: GraphBLAS BoF Special (17:30-19:30)
Organizers: Tim Mattson & Scott McMillan
Wednesday, September 21
3-V Session (10:30-11:00)
Co-Chairs: Albert Reuther
3-1: AI / Machine Learning 1 Session (11:00-12:15)
Co-Chairs: Ashok Krishnamurthy & Julie Mullen
- Invited Talk: Making AI Real: Insights from the Lab to Operations
- Maj. Michael Kanaan (USAF)
- Benchmarking Resource Usage for Efficient Distributed Deep Learning [Outstanding Paper Award]
- Nathan C Frey (MIT LLSC); Baolin Li (Northeastern Univ.); Joseph P McDonald; Dan Zhao; Michael S Jones; David Bestor (MIT LLSC); Devesh Tiwari (Northeastern Univ.); Vijay Gadepally; Siddharth Samsi (MIT LLSC)
- Ultra Low-Power Deep Learning Applications at the Edge with Jetson Orin AGX Hardware
- Mark Barnell (AFRL); Courtney Raymond (AFRL); Steven Smiley; Darrek Isereau; Daniel Brown (SRC, Inc.)
- Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms
- Joseph P McDonald (MIT LLSC); James Kurdzo; Phillip Stepanian; Mark Veillette (MIT Lincoln Laboratory); David Bestor; Michael Jones; Vijay Gadepally; Siddharth Samsi (MIT LLSC)
- Deep Gaussian Process with Multitask and Transfer Learning for Performance Optimization
- Wissam Sid-Lakhdar (Univ. of Tennessee Knoxville); Mohsen Aznaveh (Texas A&M Univ.); Piotr Luszczek (Univ. of Tennessee Knoxville); Jack Dongarra (Univ. of Tennessee Knoxville, ORNL)
Tutorial Session: 3-T (12:15-15:45): SPIRAL Tutorial
Organizer(s): Franz Franchetti & Mike Franusich
3-2: AI / Machine Learning 2 Session (12:30-13:45)
Co-Chairs: Janice Gordon & Sanmukh Rao Kuppannagari
- Invited Talk: Challenges in Geospatial Computing
- Prof. Taylor Perron (MIT Geology)
- A High-performance Deployment Framework for Pipelined CNN Accelerators with Flexible DSE Strategy
- Conghui Luo; Wenjin Huang; Dehao Xiang; Yihua Huang (Sun Yat-sen Univ.)
- Enabling Transformers to Understand Low-Level Programs
- Zifan Guo; William S Moses (MIT)
- Online Detection and Classification of State Transitions of Multivariate Shock and Vibration Data
- Nicklaus Przybylski; William M Jones (Coastal Carolina Univ.); Nathan DeBardeleben (Los Alamos National Laboratory)
- Surrogate ML/AI Model Benchmarking for FAIR Principles’ Conformance
- Piotr Luszczek; Cade E Brown (Univ. of Tennessee Knoxville)
3-3: AI / Machine Learning 3 Session (14:15-15:30)
Co-Chairs: Janice Gordon & Sanmukh Rao Kuppannagari
- Invited Talk: Trends in Energy Estimates for Computing in AI/Machine Learning Accelerators, Supercomputers, and Compute-Intensive Applications
- Albert Reuther (MIT LLSC); Sadasivan Shankar (Stanford Univ.)
- Walker Activity Tracking Using Machine Learning
- Maxwell A. Huang; Edward A. Clancy (Worcester Polytechnic Institute)
- An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning
- Matthew L. Weiss; Joseph McDonald; David Bestor; Charles Yee (MIT LLSC); Daniel Edelman (MIT); Michael S Jones (MIT LLSC); Andrew Prout (MIT LLSC); Andrew Bowne; Lindsey McEvoy (US Air Force); Vijay Gadepally; Siddharth Samsi (MIT LLSC)
- Deep Learning For Tissue Classification
- Kimberly Robasky (RENCI/UNC Chapel Hill)
3-4: General Purpose GPU Computing 1 Session (15:45-17:00)
Co-Chairs: Sadas Shankar & Hameed Badawy
- Invited Talk: New Frontiers in Performance at Wafer Scale
- Dr. Rob Schreiber (Cerebras)
- AI and ML Accelerator Survey and Trends
- Albert Reuther; Peter Michaleas; Michael S Jones; Vijay Gadepally; Siddharth Samsi; Jeremy Kepner (MIT LLSC)
- A Multi-GPU Parallel Genetic Algorithm For Large-Scale Vehicle Routing Problems
- Marwan Abdelatti; Manbir S Sodhi; Resit Sendag (Univ. of Rhode Island)
- DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters
- Baolin Li; Tirthak Patel (Northeastern Univ.); Vijay Gadepally (MIT LLSC); Karen Gettings (MIT Lincoln Laboratory); Siddharth Samsi (MIT LLSC); Devesh Tiwari (Northeastern Univ.)
- Evaluation of a Novel Scratchpad Memory Through Compiler Supported Simulation
- Essa Imhmed (Eastern New Mexico Univ.); Jonathan Cook; Hameed Badawy (New Mexico State Univ.)
3-S1: AI Challenges Special (17:30-19:30)
Organizers: Vijay Gadepally
- AIA Challenges – Status Update
- Vijay Gadepally (MIT LLSC); Andy Bowne (US Air Force)
- SEVIR Challenge
- Mark Velliette; Esther Wolff (MIT Lincoln Laboratory)
- Datacenter Challenge
- Siddarth Samsi; Matthew Weiss (MIT LLSC)
- Rainforest Challenge
- Miriam Cha (MIT Lincoln Laboratory)
- ManeuverID Challenge
- Kaira Samuel (MIT)
- MagNav Challenge
- Jonathan Taylor (MIT Lincoln Laboratory)
- CogPilot Challenge
- Sophia Yuditskaya; Laura Brattain (MIT Lincoln Laboratory)
3-S2: Emerging Technologies Special (17:30-19:30)
Organizers: Kurt Keville, Donato Kava, Po Hao Chen
- An HPC Watershed – Next Generation Arithmetic
- John Gustafson (Arizona State Univ.)
Thursday, September 22
4-V Session (10:30-11:00)
Co-Chairs: Albert Reuther
4-1: ASIC and FPGA Advances 1 Session (11:00-12:15)
Co-Chairs: Sadas Shankar & Ken Cain
- Invited Talk: GNN Acceleration on FPGAs
- Prof. Viktor Prasanna (USC)
- Flexible Hardware Accelerator Design Generation with SPIRAL
- Guanglin Xu; James Hoe; Franz Franchetti (Carnegie Mellon Univ.)
- On the Characterization of the Performance-Productivity Gap for FPGA
- Atharva Gondhalekar; Thomas Twomey; Wu-chun Feng (Virginia Tech)
- Optimizing Designs Using Several Types of Memories on Modern FPGAs
- Mehmet Gungor; Kai Huang; Stratis Ioannidis; Miriam Leeser (Northeastern Univ.)
- Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA
- Sasindu Wijeratne (Univ. of Southern California); Akhilesh Jaiswal; Ajey Jacob (USC-ISI); Bingyi Zhang; Viktor K Prasanna (Univ. of Southern California)
Tutorial Session: 4-T (12:15-15:45): Exploring Graph Analysis for HPC with Near-Memory Accelerators
Organizer(s): Jeffrey Young (Georgia Tech), Patrick Lavin (Georgia Tech), Jason Riedy (Lucata), Srinivas Eswar (Georgia Tech)
4-2: ASIC and FPGA Advances 2 Session (12:30-13:45)
Co-Chairs: Darrell Ricke & TBD
- A High Throughput Hardware Accelerator for FFTW Codelets: A First Look
- Larry Tang; Siyuan Chen; Keshav Harisrikanth; Guanglin Xu; Ken Mai; Franz Franchetti (Carnegie Mellon Univ.)
- Modeling the Energy Efficiency of GEMM using Optical Random Access Memory
- Bingyi Zhang; Akhilesh Jaiswal; Clynn Mathew; Ravi Teja Lakkireddy; Ajey Jacob; Sasindu Wijeratne; Viktor K. Prasanna (Univ. of Southern California)
- Edge-Connected Jaccard Similarity for Graph Link Prediction on FPGA
- Paul Sathre; Atharva Gondhalekar; Wu-chun Feng (Virginia Tech)
- Design and Implementation of a Real-Time Parallel FFT for a Wideband Radar System on an FPGA
- Lakshmi Pradeep Bheema; Rishu Anand; Pavan Vadakattu; Syed Azemuddin (IIIT Hyderabad); Aquibuddin Ahmed (RCI-DRDO)
- Challenges Designing for FPGAs Using High-Level Synthesis
- Clayton J Faber; Steven D Harris; Zhili Xiao; Roger Chamberlain (Washington Univ. in St. Louis); Anthony M Cabrera (Oak Ridge National Laboratory)
4-3: ASIC and FPGA Advances 3 Session (14:15-15:30)
Co-Chairs: Sanmukh Rao Kuppannagari & TBD
- FPGA Acceleration of Fully Homomorphic Encryption over the Torus
- Tian Ye (Univ. of Southern California); Rajgopal Kannan (Army Research Lab-West); Viktor K. Prasanna (Univ. of Southern California)
- Optimizing Open-source FPGA CAD Tools
- Shachi Vaman Khadilkar; Martin Margala (UMass Lowell)
- LIMA: Hardware for FFT based large integer multiplication
- James Nguyen; Michael Cai; Ziyi Zuo; Larry Tang; Ken Mai; Franz Franchetti (Carnegie Mellon Univ.)
- Towards a Generic UVM
- Kholoud Mahmoud; Randa Ahmed; Karim Ayman; Mostafa Ayman; Waleed Taie; Yasser Ibrahim; Hassan Mostafa (Cairo University); Khaled Salah (Siemens)
- How to Prevent a Sick ASIC
- William F. Ellersick (Analog Circuit Works)
4-4: General Purpose GPU Computing 2 Session (15:45-17:00)
Co-Chairs: Hameed Badawy & Mark Barnell
- Optimal GPU Frequency Selection using Multi-Objective Approaches for HPC Systems
- Ghazanfar Ali (Texas Tech Univ.); Sridutt Bhalachandra; Nicholas Wright (Lawrence Berkeley National Laboratory); Mert Side; Yong Chen (Texas Tech Univ.)
- GPU-Accelerated High-Bandwidth Radar Centroiding
- David J Brigada; Maximilian Merfeld; Kara Warner (MIT Lincoln Laboratory)
- A Hierarchical Jacobi Iteration for Structured Matrices on GPUs using Shared Memory
- Mohammad Shafaet Islam; Qiqi Wang (MIT)
- Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis
- Hamdy Abdelkhalik (New Mexico State Univ.); Yehia Arafa (Qualcomm Technologies); Nandakishore Santhi (Los Alamos National Laboratory); Hameed Badawy (New Mexico State Univ.)
- Apple Silicon Performance in Scientific Computing
- Connor Kenyon; Collin Capano (UMass Dartmouth)
4-S1: Graph Challenge Special (17:30-19:30)
Organizers: Jeremy Kepner
- Sparse Deep Neural Network Inference Using Different Programming Models
- Hyungro Lee; Milan Jain; Sayan Ghosh (PNNL)
- Kalman Filter Driven Estimation of Community Structure in Time Varying Graphs
- Lisa JK Durbeck; Peter Athanas (Virginia Tech)
- Improved Distributed-Memory Triangle Counting by Exploiting the Graph Structure
- Sayan Ghosh (PNNL, Washington State Univ.)
- HTC: Hybrid Vertex-parallel and Edge-parallel Triangle Counting
- Li Zeng; Kang Yang; Haoran Cai; Jinhua Zhou; Rongqian Zhao; Xin Chen (Huawei Technologies)
- FAST: A Scalable Subgraph Matching Framework over Large Graphs
- Jiezhong He; Zhouyang Liu; Yixin Chen; Hengyue Pan; Zhen Huang; Dongsheng Li (NUDT)
- Towards Fast GPU-based Sparse DNN Inference: A Hybrid Compute Model
- Shaoxian Xu; Minkang Wu; Long Zheng; Zhiyuan Shao; Xiangyu Ye; Xiaofei Liao; Hai Jin (Huazhong Univ. of Science and Technology)
- Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores
- Yufei Sun; Long Zheng; Qinggang Wang; Xiangyu Ye; Yu Huang; Pengcheng Yao; Xiaofei Liao; Hai Jin (Huazhong Univ. of Science and Technology)
Friday, September 23
5-V: Sponsor Showcase – Dell Session (10:30-11:00)
Co-Chairs: Albert Reuther
- How to Wrestle with Global Scale ML and Win
- Dr. Ben Fauber (Dell Technologies)
5-1: High Performance Data Analysis 1 Session (11:00-12:15)
Co-Chairs: Darrell Ricke & Ken Cain
- Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures [Outstanding Student Paper Award]
- Karim Youssef (Virginia Tech); Abdullah Al Raqibul Islam (Univ. of North Carolina at Charlotte); Keita Iwabuchi (Lawrence Livermore National Laboratory); Wu-chun Feng (Virginia Tech); Roger Pearce (Lawrence Livermore National Laboratory)
- Processing Particle Data Flows with SmartNICs [Outstanding Student Paper Award]
- Jianshen Liu; Carlos Maltzahn (UC Santa Cruz); Matthew Curry; Craig Ulmer (Sandia National Laboratories)
- AUTOPAGER: Auto-tuning Memory-Mapped I/O Parameters in Userspace [Outstanding Student Paper Award]
- Karim Youssef ; Niteya Shah (Virginia Tech); Maya B Gokhale; Roger Pearce (Lawrence Livermore National Laboratory); Wu-chun Feng (Virginia Tech)
- An SSD-Based Accelerator for Singular Value Decomposition Recommendation Algorithm on Edge
- Wei Wu; Letian Zhao; Qizhe Wu; Xiaotian Wang; Teng Tian; Xi Jin (Univ. of Science and Technology of China)
- Hardware Software Codesign of Applications on the Edge: Accelerating Digital PreDistortion for Wireless Communications
- Zhaoyang Han; Yiyue Jiang (Northeastern Univ.); Rahul Mushini; John Dooley (Maynooth Univ.); Miriam Leeser (Northeastern Univ.)
5-2: High Performance Data Analysis 2 Session (12:30-13:45)
Co-Chairs: Darrell Ricke & David Cousins
- Im2win: Memory Efficient Convolution On SIMD Architectures
- Shuai Lu; Jun Chu (Nanchang Hangkong Univ.); Xu T. Liu (Univ. of Washington)
- Towards Full-Stack Acceleration for Fully Homomorphic Encryption
- Naifeng Zhang (Carnegie Mellon Univ.); Homer Gamil (New York Univ.); Patrick Brinich (Drexel Univ.); Benedict Reynwar (USC ISI); Ahmad Al Badawi (Duality Technologies); Negar Neda; Deepraj Soni (New York Univ.); Yuriy Polyakov (Duality Technologies); Patrick Broderick (SpiralGen, Inc.); Michail Maniatakos (New York Univ.); Andrew Schmidt (USC ISI); Mike Franusich (SpiralGen, Inc.); Jeremy Johnson (Drexel Univ.); Brandon Reagen (New York Univ.); David Bruce Cousins (Duality Technologies); Franz Franchetti (Carnegie Mellon Univ.)
- Python Implementation of the Dynamic Distributed Dimensional Data Model
- Hayden R Jananthan (MIT LLSC); Lauren Milechin (MIT): Michael Jones; William Arcand; William Bergeron; David Bestor; Chansup Byun; Michale Houle; Matthew Hubbell; Vijay Gadepally; Anna Klein; Peter Michaleas; Guillermo Morales; Julie Mullen; Andrew Prout; Albert Reuther; Antonio Rosa; Siddharth Samsi; Charles Yee; Jeremy Kepner (MIT LLSC)
- Powering Practical Performance: Accelerated Numerical Computing in Pure Python
- Matthew Penn; Christopher Milroy (NVIDIA)
- Parallel Computing with DNA Forensics Data
- Adam Michaleas; Philip Fremont-Smith; Chelsea Lennartz; Darrell O. Ricke (MIT Lincoln Laboratory)
5-3: Big Data and Distributed Computing 1 Session (14:15-15:30)
Co-Chairs: Sadas Shankar & Chansup Byun
- Invited Talk: Data-Driven Precision Neuroscience
- Dr. John Reynders (Neumora)
- Distributed Out-of-Memory SVD on CPU/GPU Architectures [Outstanding Paper Award]
- Ismael Boureima; Manish Bhattarai; Maksim E Eren; Nick Solovyev; Hirsto Djidjev; Boian Alexandrov (Los Alamos National Laboratory)
- HuGraph: Acceleration of GCN Training on Heterogeneous FPGA Clusters with Quantization [Outstanding Student Paper Award]
- Letian Zhao; Qizhe Wu; Xiaotian Wang; Teng Tian; Wei Wu; Xi Jin (Univ. of Science and Technology of China)
- A Scalable Inference Pipeline for 3D Axon Tracing Algorithms
- Benjamin M Fenelon; Lars Gjesteby (MIT Lincoln Laboratory); Webster Guan; Juhyuk Park; Kwanghun Chung (MIT); Laura Brattain (MIT Lincoln Laboratory)
- Exploring the Impacts of Software Cache Configuration for In-line Data Compression
- Sansriti Ranjan; Dakota Fulp; Jon C Calhoun (Clemson Univ.)
5-4: Big Data and Distributed Computing 2 Session (15:45-17:00)
Co-Chairs: Rich Vuduc & Nikos Pitsianis
- Invited Talk: HPC Graphs in the AWS Cloud
- Roger Pearce (LLNL)
- pPython for Parallel Python Programming
- Chansup Byun; William Arcand; David Bestor; Bill Bergeron; Vijay Gadepally; Michael Houle; Matthew Hubbell; Hayden Jananthan; Michael Jones (MIT LLSC); Kurt Keville (MIT); Anna Klein; Peter Michaleas (MIT LLSC); Lauren Milechin (MIT); Guillermo Morales; Julie Mullen; Andrew Prout; Albert Reuther; Antonio Rosa; Siddharth Samsi; Charles Yee; Jeremy Kepner (MIT LLSC)
- The Viability of Using Online Prediction to Perform Extra Work while Executing BSP Applications
- Po Hao Chen; Pouya Haghi; Jae Yoon Chung (Boston Univ.); Tong Geng (Univ. of Rochester); Richard West (Boston Univ.); Anthony Skjellum (UTC); Martin Herbordt (Boston Univ.)
- Real-Time Software Architecture for EM-Based Radar Signal Processing and Tracking
- Alan W Nussbaum (Georgia Tech, GTRI); Byron Keel (GTRI); William Dale Blair (GTRI, Georgia Tech); Umakishore Ramachandran (Georgia Tech)