2019 IEEE High Performance Extreme Computing Conference (HPEC ‘19) Twenty-third Annual HPEC Conference 24 - 26 September 2019 Westin Hotel, Waltham, MA USA
Thursday, September 26 Morning Plenary Session 9:00-10:00 in Eden Vale B Chairs: TBD / TBD Keynote Speaker: GPU Accelerated Machine Learning Mr. Mark Hamilton / Nvidia VP of Solutions Architecture and Engineering Break 10:00-10:20 HPSEC: High Performance Secure Extreme Computing 10:20-12:00 in Eden Vale C1/C2 Chair: Michael Vai / MIT-LL Session Abstracts Invited Talk: Evaluating Fault Resilience of Compressed Deep Neural Networks Prof. Yunsi Fei (Northeastern University) A Survey on Hardware Security Techniques Targeting Low-Power SoC Designs Alan Ehret (Boston Univ.), Karen Gettings (MIT-LL), Bruce R. Jordan Jr. (MIT-LL), Michel A. Kinsy (Boston Univ.) Securing HPC using Federated Authentication Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner (MIT-LL) Synthesis of Hardware Sandboxes for Trojan Mitigation in Systems on Chip Christophe Bobda (Univ. Florida), Taylor Whitaker (Univ. Arkansas), Joel Mandebi Mbongue (Univ. Florida) Garbled Circuits in the Cloud using FPGA Enabled Nodes Kai Huang (Northeastern), Mehmet Gungor (Northeastern), Xin Fang (Qualcomm), Stratis Ioannidis (Northeastern), Miriam Leeser (Northeastern) BLAST: Blockchain-based Trust Management in Smart Cities and Connected Vehicles Setup Farah Kandah, Brennan Huber, Amani Altarawneh, Sai Medury, Anthony Skjellum (Univ. Tennessee Chattanooga) Al 2 10:20-12:00 in Eden Vale A1/A2 Chair: Siddharth Samsi / MIT-LL Session Abstracts Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue Pooya Khorrami (MIT-LL), Kevin Brady (MIT-LL), Mark Hernandez (MIT-LL), Lars Gjesteby (MIT-LL), Sara Nicole Burke (Univ. Florida), Damon Lamb (Univ. Florida), Matthew A Melton (Univ. Florida), Kevin Otto (Univ. Florida), Laura J. Brattain (MIT-LL) Deploying AI Frameworks on Secure HPC Systems with Containers David Brayford (Leibniz Rechenzentrum), Sofia Vallecorsa (CERN), Atanas Atanasov (Intel), Fabio Baruffa (Intel), Walter Rivera (Intel) Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System Wenjia Zheng (Fordham Univ.), Yun Song (Fordham Univ.), Zihao Guo (Fordham Univ.), Yongchen Cui (Fordham Univ.), Suwen Gu (Fordham Univ.), Ying Mao (Fordham Univ.), Long Cheng (Univ. College Dublin) [Best Paper Finalist] Training Behavior of Sparse Neural Network Topologies Simon Alford, Ryan Robinett, Lauren Milechin, Jeremy Kepner (MIT) [Best Paper Finalist] Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision Accelerators Piotr Luszczek (Univ. Tennessee), Ichitaro Yamazaki (Sandia), Jack Dongarra (Univ. Tennessee, ORNL, Univ. Manchester) High Performance Data Analysis 1 10:20-12:00 in Eden Vale C3 Chair: Nikos Pitsianis / Aristotle Session Abstracts Invited Talk: Microsoft MLSpark: Unifying Machine Learning Ecosystems at Massive Scales Mark Hamilton (Microsoft) Auxillary Maximum Likelihood Estimation for Noisy Point Cloud Registration Cole Campton, Xiaobai Sun (Duke) Multi-spectral Reuse Distance: Divining Spatial Information from Temporal Data Anthony M. Cabrera (Washington Univ. St. Louis, Arm Research), Roger D. Chamberlain (Washington Univ. St. Louis), and Jonathan C. Beard (Arm Research) Many-target, Many-sensor Ship Tracking and Classification Leonard Kosta (Boston Univ.), John Irvine (Draper), Laura Seaman (Draper), Hongwei Xi (Boston Univ.) Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther (MIT) Lunch 12:00-1:00 in Emerson View Posters & Demos 2 12:00-1:00 in Foyer Session Abstracts Applying Neuromorphic Computing to Compressive Sensing Ronald Scrofano, Douglas P. Enright, George C. Valley (Aerospace) Context Aware Query Performance Optimization in Healthcare for Big Data Analytics Manoj Muniswamaiah, Tilak Agerwala, and Charles Tappert (Pace Univ.) Evaluation of the Imbalance Evolution in Parallel Reservoir Simulation Marcin Rogowski, Suha N. Kayum (Saudi Aramco) Optimal Resource Allocation for Parallel Reservoir Simulation Suha N. Kayum, Marcin Rogowski (Saudi Aramco) Exploring the Efficiency of OpenCL Pipe for Hiding Memory Latency on Cloud FPGAs Arnab A Purkayastha, Sai Raghavendran, Jhanani Thiagarajan and Hamed Tabkhi (UNC Charlotte) A Novel Approach for Scheduling and Mapping of Real-Time Parallel Matrices Multiplication (SMPMM) Hussam Abu Azab (Univ. de Moncton) Open Source Multi-functional Memory Unit and Application to Approximate Computing Shigetoshi Nakatake (Univ. Kitakyushu) High-Performance Computing Applications’ Transition to the Cloud in the Oil & Gas Industry Suha N. Kayum, Marcin Rogowski (Saudi Aramco) [Best Student Paper Finalist] Message Scheduling for Performant, Many-Core Belief Propagation Mark Van der Merwe (University of Utah)*; Ganesh Gopalakrishnan (University of Utah) [Graph Challenge Honorable Mention] Multithreaded Layer-wise Training of Sparse Deep Neural Networks using Compressed Sparse Column Mohammad Hasnazadeh Mofrad, Rami Melhem (Univ. of Pittsburgh), Yousuf Ahmad, Mohammad Hammoud (Carnegie Mellon University in Qatar) [Graph Challenge Honorable Mention] Accelerating Sparse Deep Neural Network on FPGA Sitao Huang, Carl Pearson, Rakesh Nagi (University of Illinois at Urbana-Champaign), Jinjun Xiong (IBM Thomas J. Watson Research Center), Deming Chen, Wen-mei Hwu (University of Illinois at Urbana-Champaign) [Graph Challenge Honorable Mention] Update on Triangle Counting on GPU Carl Pearson, Mohammad Almasri, Omer Anjum, Vikram S. Mailthody, Zaid Qureshi, Rakesh Nagi (UIUC), Jinjun Xiong (IBM TJ Watson), and Wen-mei Hwu (UIUC) Thursday, September 26 Afternoon BRAIDS: Boosting Resilience through Artificial Intelligence and Decision Support 1 1:00-2:40 in Eden Vale A1 Chair: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov / ACE, Matthew Bates / ACE Session Abstracts BRAIDS Goals Pierre Trepagnier / MIT-LL Combining Tensor Decompositions and Graph Analytics to Provide Cyber Situational Awareness at HPC Scale James Ezick, Tom Henretty, Muthu Baskaran, Richard Lethin (Reservoir Labs), John Feo (PNNL), Tai-Ching Tuan, Christopher Coley (Univ. Maryland), Leslie Leonard, Rajeev Agrawal, William Glodek, Ben Parsons (U.S. Army ERDC) Proactive Cyber Situation Awareness via High Performance Computing Allan Wollaber, Jaime Peña, Benjamin Blease, Leslie Shing, Kenneth Alperin, Serge Vilvovsky, Pierre Trepagnier (MIT-LL), Neal Wagner (STR), Leslie Leonard (U.S. Army ERDC) [Best Student Paper Finalist] A Survey of Attacks and Defenses of Edge-Deployed Neural Networks Mihailo Isakov (Boston Univ.), Vijay Gadepally (MIT-LL), Karen M. Gettings (MIT-LL), Michel A. Kinsy (Boston Univ.) Hypersparse Neural Network Analysis of Large-Scale Internet Traffic Jeremy Kepner (MIT LLSC), Kenjiro Cho (Internet Initiative Japan), KC Claffy (UCSD), Vijay Gadepally (MIT LLSC), Peter Michaleas (MIT LLSC), Lauren Milechin (MIT EAPS) FPGA 1:00-2:40 in Eden Vale A3 Chair: Karen Gettings / MIT-LL Session Abstracts Artificial Neural Network and Accelerator Co-design using Evolutionary Algorithms Philip Colangelo (Intel), Oren Segal (Hofstra Univ.), Alex Speicher (Hofstra Univ.), Martin Margala (UMass Lowell) IP Cores for Graph Kernels on FPGAs Sanmukh R. Kuppannagari, Rachit Rajat, Rajgopal Kannan (USC), Aravind DArizona State Univ. (Intel), Viktor K. Prasanna (USC) FPGA-Accelerated Spreading for Global Placement Shounak Dhar (Univ. Texas Austin), Love Singhal (Intel), Mahesh A. Iyer (Intel), David Z. Pan (Univ. Texas Austin) An FPGA Decision Tree Classifier to Supervise Communication SoC Abdelrahman Elkanishy (NMSU), Derrick Rivera (NMSU), Abdel-Hameed A. Badawy (NMSU, LANL), Paul M. Furth (NMSU), Z.M. Saifullah (NMSU), and Christopher P. Michael (Sandia) AH-CNN: Adaptive and Hierarchical Convolutional Neural Networks Implementation on FPGA Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang (Arizona State Univ.) High Performance Data Analysis 2 1:00-2:40 in Eden Vale C1 Chair: Nikos Pitsianis / Aristotle Session Abstracts An Interactive LiDAR to Camera Calibration Yecheng Lyu, Lin Bai, Mahdi Elhousni and Xinming Huang (WPI) Lossless Compression of Internal Files in Parallel Reservoir Simulation Marcin Rogowski, Suha N. Kayum, Florian Mannuss (Saudi Aramco) Scalable Lazy-update Multigrid Preconditioners Majid Rasouli, Vidhi Zala, Robert M. Kirby, Hari Sundar (Univ. Utah) IdPrism: Rapid Analysis of Forensic DNA Samples Using MPS SNP Profiles Darrell O. Ricke, James Watkins, Philip Fremont-Smith, Adam Michaleas (MIT-LL) A data-driven framework for uncertainty quantification of a fluidized bed V M Krushnarao Kotteda, Anitha Kommu, Vinod Kumar (Univ. Texas El Paso) Break 2:40-3:00 BRAIDS: Boosting Resilience through Artificial Intelligence and Decision 2 3:00-5:30 in Eden Vale A1 Chair: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov / ACE, Matthew Bates / ACE Session Abstracts Hardware IP Classification through Weighted Characteristics Brendan McGeehan, Flora Smith, Thao Le, Hunter Nauman, Jia Di (Univ. Arkansas) Cyber Baselining: Statistical properties of cyber time series and the search for stability Alexia Schulz, Ethan Aubin, Pierre Trepagnier, Allan Wollaber (MIT-LL) Breakout Discussion Quantum 3:00-4:40 in Eden Vale A3 Chair: Patrick Dreher / NCSU Session Abstracts [Best Paper Finalist] C to D-Wave: A High-level C Compilation Framework for Quantum Annealers Mohamed W. Hassan (Virginia Tech), Scott Pakin (LANL), and Wu-chun Feng (Virginia Tech) QxSQA: GPGPU-Accelerated Simulated Quantum Annealer within a Non-Linear Optimization and Boltzmann Sampling Framework Dan Padilha, Serge Weinstock, and Mark Hodson (QxBranch) [Best Student Paper Finalist] Multistart Methods for Quantum Approximate Optimization Ruslan Shaydulin, Ilya Safro (Clemson Univ.), Jeffrey Larson (Argonne) Message Scheduling for Performant, Many-Core Belief Propagation Mark Van der Merwe, Vinu Joseph, Ganesh Gopalakrishnan (Univ. Utah) Prototype Container-Based Platform for Extreme Quantum Computing Algorithm Development Patrick Dreher, Madhuvanti Ramasami (North Carolina State Univ.) Cloud 3:00-4:40 in Eden Vale C1 Chair: Douglas Enright / Aerospace Session Abstracts [Best Paper Finalist] Using Container Migration for HPC Workloads Resilience Mohamad Sindi, John R. Williams (MIT) [Best Student Paper Finalist] Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna (USC) Singularity for Machine Learning Applications - Analysis of Performance Impact Bruce R. Jordan Jr., David Barrett, David Burke, Patrick Jardin, Amelia Littrell, Paul Monticciolo, Michael Newey, Jean Piou, Kara Warner (MIT-LL) COMET: A Distributed Metadata Service for Federated Cloud Infrastructures Cong Wang, Komal Thareja, Michael Stealey, Paul Ruth, Ilya Baldin (RENCI, Univ. North Carolina) Introducing DyMonDS-as-a-Service (DyMaaS) for Internet of Things Marija Ilic, Rupamathi Jaddivada (MIT) Wrap up 4:40-5:10 in Eden Vale B Chair: Jeremy Kepner/ MIT Lincoln Laboratory Closing Talk: TBD