2019 IEEE High Performance Extreme Computing Conference (HPEC ‘19) Twenty-third Annual HPEC Conference 24 - 26 September 2019 Westin Hotel, Waltham, MA USA
Tuesday, September 24 Tutorial: Security Design of Mission-Critical Embedded Systems 9:00am-12:30pm in Eden Vale A1 Instructor: Dr. Michael Vai (MIT LL) Tutorial: Building Graph Algorithms with the GraphBLAS 9:00am-12:30pm in Eden Vale A2 Instructors: Instructors: Dr. Timothy Mattson (Intel); Dr. Scott McMillan (CMU SEI); Dr. Aydın Buluç (LBNL); Dr. José Moreira  (IBM); Mr. Carl Yang (UC Davis) Tutorial:  Mathematics of Big Data & Machine Learning 9:00am-12:30pm in Eden Vale C1/C2 Instructors: Dr. Jeremy Kepner (MIT LLSC) Tutorial: Introduction to SPIRAL  1:30pm-5:00pm[Eden Vale A2] Instructors: Prof. Franz Franchetti (CMU); Prof. Tze Meng Low (CMU); Mr. Mike Franusich (SpiralGen, Inc); Tutorial: Computational Machine Learning 101 1:30pm-5:00pm in Eden Vale C1/C2 Instructor: Prof. Raj Rao (University of Michigan) Tutorial: A Quantum Computing Primer with Sample Programming Exercises 1:30pm-5:00pm in Eden Vale A1 Instructor: Prof. Patrick Dreher (NC State Univ) Wednesday, September 25 Plenary Session 9:00am-10:00am in Eden Vale B Chair: TBD / MIT Keynote Speaker: Future Computing Systems Mr. Michael Rosenfield (IBM Vice President, Data Centric Solutions) GPU Applications and Technology 10:20-12:00 in Eden Vale A1/A2 Chair: David Cousins Progressive Optimization of Batched LU Factorization on GPUs Ahmad Abdelfattah, Stanimire Tomov, and Jack Dongarra (ICL UTK) [Best Student Paper Finalist] Low Overhead Instruction Latencies Characterization for NVIDIA GPGPUs Yehia Arafa (NMSU), Abdel-Hameed A. Badawy (NMSU, LANL), Gopinath Chennupati (LANL), Nandakishore Santhi (LANL), Stephan Eidenbenz (LANL) Distributed Deep Learning for Precipitation Nowcasting Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette (MIT-LL) Embedded GPU Cluster Computing Framework for Inference of Convolutional Neural Networks - Presentation Evan Kain (SHREC @ Pitt), Diego Wildenstein (Arizona State Univ.), Andrew C. Pineda (AFRL) Heterogeneous Cache Hierarchy Management for Integrated CPU-GPU Architecture - Presentation Hao Wen (Virginia Commonwealth University); Wei Zhang (Virginia Commonwealth University)* Graphs, Networks & Sparse Data 1 10:20-12:00 in Eden Vale C1 Chair: Michael Wolf / Sandia Invited Talk: Brilliant Technologists Building Cool Stuff Mr. Stan Reiss (Matrix Partners) [Best Paper Finalist] Efficient Implementation of Sparse Matrix- Sparse Vector Multiplication for Large Scale Graph Analytics - Presentation Mauricio Serrano (IBM) Combinatorial Multigrid: Advanced Preconditioners For Ill-Conditioned Linear Systems M. Harper Langston, Pierre-David Letourneau, Richard Lethin, James Ezick, Mitchell S Harris (Reservoir Labs) Concurrent Katz Centrality for Streaming Graphs Chunxing Yin, Jason Riedy (Georgia Institute of Technology) Graph Algorithms in PGAS: Chapel and UPC++ Jesun S Firoz, Louis Jenkins, Marcin Zalewski, Cliff Joslyn, Mark Raugas (PNNL) HPC 10:20-12:00 in Eden Vale C3 Chair: Seung Woo Son / UMass Lowell Scalable Solvers for Cone Complementarity Problems in Frictional Multibody Dynamics Saibal De (Univ. Michigan), Eduardo Corona (NYIT), Paramsothy Jayakumar (US Army), Shravan Veerapaneni (Univ. Michigan) -   Presentation Large Scale Parallelization Using File-Based Communications Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther (MIT-LL) Fast Large-Scale Algorithm for Electromagnetic Wave Propagation in 3D Media Mitchell Harris (Reservoir Labs), M. Harper Langston (Reservoir Labs), Pierre-David Létourneau (Reservoir Labs), George Papanicolaou (Stanford), James Ezick (Reservoir Labs), Richard Lethin(Reservoir Labs) Towards Improving Rate-Distortion Performance of Transform Based Lossy Compression for HPC Datasets - Presentation Jialing Zhang, Aekyeung Moon, Xiaoyan Zhuo, Seung Woo Son (UMass Lowell) A Parallel Simulation Approach to ACAS X Development - Presentation Adam Gjersvik and Robert J. Moss (MIT-LL) Posters Embedded Processor-In-Memory Architecture for Accelerating Arithmetic Operations Richard Muri, Paul Fortier (UMass Dartmouth) FFTX for Micromechanical Stress-Strain Analysis Anuva Kulkarni, Daniele G. Spampinato, Franz Franchetti (CMU) ECG Feature Processing Performance Acceleration on SLURM Compute Systems Michael Nolan, Mark Hernandez, Philip Fremont-Smith, Albert Swiston, Kajal Claypool (MIT-LL) Emerging Applications of 3D Integration and Approximate Computing in High-PerformanceComputing Systems: Unique Security Vulnerabilities Pruthvy Yellu, Zhiming Zhang, Mohammad Mezanur, Rahman Monjur, Ranuli Abeysinghe, Qiaoyan Yu (UNH) Large Scale Organization and Inference of an Imagery Dataset for Public Safety Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew Weinert (MIT-LL) Deep-Learning Inferencing with High-Performance Hardware Accelerators Luke Kljucaric, Alan D. George (SHREC @ Pitt) Projecting Quantum Computational Advantage versus Classical State-of-the-Art Jason Larkin, Daniel Justice (CMU SEI) Resilience-Aware Decomposition and Monitoring of Large-Scale Embedded Systems Miguel Mark (Boston Univ.), David Whelihan (MIT-LL), Michael Vai (MIT-LL), Haley Whitman (MIT-LL), Michel Kinsy (Boston Univ.) Road Traffic Anomaly Detection using Functional Data Analysis George Tsitsopoulos (Northeastern), Eric Truslow (MIT-LL), Dimitris Manolakis (MIT-LL) Overcoming Limitations of GPGPU-Computing in Scientific Applications Connor Kenyon, Glenn Volkema, Gaurav Khanna (UMass Dartmouth) Optimizing the Visualization Pipeline of a 3D Monitoring and Management System Rebecca Wild (Johns Hopkins APL), Matthew Hubbell, Jeremy Kepner (MIT-LL) Skip the Intersection: Quickly Counting Common Neighbors on Shared-Memory Systems Xiaojing An, Kasimir Gabert, James Fox, Oded Green, David A. Bader (Georgia Tech) [Graph Challenge Finalist] Fast BFS-Based Triangle Counting on GPUs Leyuan Wang, John D. Owens (UC Davis) [Graph Challenge Finalist] Performance of Training Sparse Deep Neural Networks on GPUs Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Jing Xiao (Ping An Technology (Shenzhen)), Pengyu Wang, Lu Zhang, Chao Li (Shanghai Jiao Tong University) [Graph Challenge Honorable Mention] Fast Triangle Counting on GPU Chuangyi Gui, Long Zheng, Pengcheng Yao, Xiaofei Liao, Hai Jin (Huazhong Univ. of Science and Technology) Scaling HPC Education 1:00-2:40 in Eden Vale C2 Chair: Julie Mullen / MIT-LL and Lauren Milechin / MIT-EAPS Invited Talk: Humans in Scaling Research Computing Facilitation and Education - Presentation Robert Freeman (Harvard Business School) Invited Talk: A Workforce Development Strategy for Research Computing - Presentation Julie Ma (Northeast Cyberteam Initiative) Invited Talk: Developing HPC Skills across the University Community - Presentation Brian Gregor (Boston University) Invited Talk: SPOC to MOOC, Extending Local Training to the HPC Community - Presentation Julie Mullen (MIT-Lincoln Laboratory); Lauren Milechin ( MIT Earth, Atmospheric and Planetary Sciences) Al 1 1:00-2:40 in Eden Vale A1/A2 Chair: Paul Monticciolo / MIT LL Invited Talk: Deploying High-Performance Deep Learning Applications Jaya Shankar (MathWorks) Survey and Benchmarking of Machine Learning Accelerators - Presentation Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, and Jeremy Kepner (MIT-LL) Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM -  Presentation Brian Plancher (Harvard), Camelia D. Brumar (WPI), Iulian Brumar (Harvard), Lillian Pentecost (Harvard), Saketh Rama (Harvard), David Brooks (Harvard) Low Power Computing and Simultaneous Electro-Optical/Radar Data Processing using IBM’s NS16e 16-chip Neuromorphic Hardware - Presentation Mark Barnell (AFRL); Courtney Raymond (AFRL), Daniel Brown (SRC), Matthew Wilson (SRC), Eric R Cote (SRC) TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir Tao B. Schardl (MIT CSAIL), Siddharth Samsi (MIT-LL) Graphs, Networks & Sparse Data 2 1:00-2:40 in Eden Vale C1 Chair: Michael Wolf / Sandia Fast and Scalable Distributed Tensor Decompositions - Presentation  Muthu Baskaran, Thomas Henretty, James Ezick (Reservoir Labs) On Computing with Diagonally Structured Matrices - Presentation Shahadat Hossain, Mohammad Sakib Mahmud (Univ. Lethbridge) Spaceland Embedding of Sparse Stochastic Graphs Nikos Pitsianis (Aristotle Univ., Duke), Alexandros-Stavros Iliopoulos (Aristotle Univ.), Dimitris Floros (Aristotle Univ.), Xiaobai Sun (Duke) Partitioning Graphs for the Cloud using Reinforcement Learning Mohammad Hasanzadeh Mofrad (CMU), Rami Melhem (CMU), Mohammad Hammoud (CMU Qatar) Improving Parallelism of Breadth First Search (BFS) Algorithm for Accelerated Performance on GPUs - Presentation Hao Wen, Wei Zhang (VCU) Manycore 1:00-2:40 in Eden Vale C3 Chair: David Cousins Improving Scheduling for Irregular Applications with Logarithmic Radix Binning - Presentation James Fox (Georgia Tech), Alok Tripathy (Georgia Tech), and Oded Green (Georgia Tech, Nvidia) An Efficient and Composable Parallel Task Programming Library - Presentation Chun-Xun Lin, Tsung-Wei Huang, Guannan Guo, Martin D. F. Wong (UIUC) MeXT: A Flow for Multiprocessor Exploration - Presentation Christophe Bobda (Univ. Florida), Harold Ishebabi (Univ. Potsdam), Philipp Mahr (Univ. Potsdam), Joel Mandebi Mbongue (Univ. Florida) Optimizing Xeon Phi for Interactive Data Analysis Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther (MIT) Automatic Parallelization to Asynchronous Task-Based Runtimes Through a Generic Runtime Layer - Presentation Charles Jin, Muthu Baskaran, Benoit Meister, Jonathan Springer (Reservoir Labs) IEEE/MIT/Amazon Graph Challenge Awards 3:00-5:00 in Eden Vale B Chair: Jeremy Kepner/ MIT Lincoln Laboratory [Champion] A GPU Implementation of the Sparse Deep Neural Network Graph Challenge - Presentation Mauro Bisson, Massimiliano Fatica (NVIDIA) [Champion] H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs - Presentation Santosh Pandey (UMass Lowell), Xiaoye S. Li, Aydin Buluc (LBNL), Jiejun Xu (HRL), Hang Liu (UMass Lowell) [Champion] Write Quick, Run Fast: Sparse Deep Neural Network in 20 Minutes of Development Time via SuiteSparse:GraphBLAS - Presentation Timothy A. Davis, Mohsen Aznaveh, and Scott Kolodziej (Texas A&M Univ.) [Champion] Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU - Presentation Mark Blanco, Tze Meng Low (CMU), Kyungjoo Kim (Sandia) [Champion] One Quadrillion Triangles Queried on One Million Processors Roger Pearce, Trevor Steil, Benjamin Priest, Geoffrey Sanders (LLNL) [Innovation Award] Linear Algebra-Based Triangle Counting via Fine-Grained Tasking on Heterogeneous Environments Abdurrahman Yasşar (GA Tech), Sivasankaran Rajamanickam, Jonathan Berry, Michael Wolf (Sandia), Jeffrey S. Young, Ümit V. Çatalyürek (GA Tech) [Innovation Award] Scalable Triangle Counting on Distributed-Memory Systems Seher Acer (Sandia), Abdurrahman Yasşar (GA Tech), Sivasankaran Rajamanickam, Michael Wolf (Sandia), Ümit V. Çatalyürek† (GA Tech) [Innovation Award] Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels J. Austin Ellis and Sivasankaran Rajamanickam (Sandia) [Innovation Award] Scaling and Quality of Modularity Optimization Methods for Graph Clustering - Presentation Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo (PNNL), Ananth Kalyanaraman (Washington State Univ.) [Innovation Award] Direction-Optimizing Label Propagation Algorithm Xu Liu (Washington State Univ., PNNL), Jesun Sahariar Firoz, Marcin Zalewski, Mahantesh Halappanavar, Kevin J. Baker (PNNL), Andrew Lumsdaine (PNNL, Univ. of Washington), Assefaw H. Gebremedhin∗ (Washington State Univ.) [Student Innovation Award] Fast Stochastic Block Partitioning via Sampling - Presentation Frank Wanye (Virginia Tech), Vitaliy Gleyzer (MIT LL), Wu-chun Feng (Virginia Tech) [Student Innovation Award] Accelerating DNN Inference with GraphBLAS and the GPU - Presentation Xiaoyun Wang, Zhongyi Lin, Carl Yang, John D. Owens (UC Davis) [Student Innovation Award] Update on k-truss Decomposition on GPU - Presentation Mohammad Almasri, Omer Anjum, Carl Pearson, Zaid Qureshi, Vikram S. Mailthody, Rakesh Nagi (UIUC), Jinjun Xiong (IBM TJ Watson), and Wen-mei Hwu (UIUC) [Student Innovation Award] DistTC: High Performance Distributed Triangle Counting - Presentation Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali (UT Austin) Thursday, September 26 Plenary Session 9:00-10:00 in Eden Vale B Keynote Speaker: GPU Accelerated Machine Learning Mr. Mark Hamilton / Nvidia VP of Solutions Architecture and Engineering HPSEC: High Performance Secure Extreme Computing 10:20-12:00 in Eden Vale C1/C2 Chair: Michael Vai / MIT-LL 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 - Presentation  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 - Presentation Christophe Bobda (Univ. Florida), Taylor Whitaker (Univ. Arkansas), Joel Mandebi Mbongue (Univ. Florida) Garbled Circuits in the Cloud using FPGA Enabled Nodes - Presentation 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 Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue - Presentation 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 - Presentation 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 - Presentation 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 - Presentation 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 Invited Talk: Microsoft MLSpark: Unifying Machine Learning Ecosystems at Massive Scales - Presentation  Mark Hamilton (Microsoft) Auxillary Maximum Likelihood Estimation for Noisy Point Cloud Registration - Presentation Cole Campton, Xiaobai Sun (Duke) Multi-spectral Reuse Distance: Divining Spatial Information from Temporal Data - Presentation 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 -  Presentation 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) Posters 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.) Breadth-First Search o Dynamic Graphs using Dynamic Parallelism on the GPU Dominik Todling, Martin Winter, Markus Steinberger (Graz Univ. of Tech.) 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) [Graph Challenge Honorable Mention] Multithreaded Layer-wise Training of Sparse Deep Neural Networks using Compressed Sparse Column Mohammad Hasanzadeh Mofrad, Rami Melhem (Univ. of Pittsburgh), Yousuf Ahmad, Mohammad Hammoud (Carnegie Mellon University in Qatar) [Graph Challenge Honorable Mention] Accelerating Sparse Deep Neural Networks on FPGAs 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) BRAIDS: Boosting Resilience through Artificial Intelligence and Decision Support 1 1:00-2:40 in Eden Vale A1/A2 Chair: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov / ACE, Matthew Bates / ACE 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 - Presentation 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 - Presentation 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 C3 Chair: Karen Gettings / MIT-LL Artificial Neural Network and Accelerator Co-design using Evolutionary Algorithms - Presentation 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.) - Presentation High Performance Data Analysis 2 1:00-2:40 in Eden Vale C1/C2 Chair: Nikos Pitsianis / Aristotle An Interactive LiDAR to Camera Calibration - Presentation Yecheng Lyu, Lin Bai, Mahdi Elhousni and Xinming Huang (WPI) Lossless Compression of Internal Files in Parallel Reservoir Simulation - Presentation 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 - Presentation 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) BRAIDS: Boosting Resilience through Artificial Intelligence and Decision 2 3:00-5:30 in Eden Vale A1/A2 Chairs: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov / ACE, Matthew Bates / ACE Hardware IP Classification through Weighted Characteristics - Presentation 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) Quantum 3:00-4:40 in Eden Vale C3 Chair: Patrick Dreher / NCSU [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 - Presentation Ruslan Shaydulin, Ilya Safro (Clemson Univ.), Jeffrey Larson (Argonne) Message Scheduling for Performant, Many-Core Belief Propagation - Presentation 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/C2 Chair: Douglas Enright / Aerospace [Best Paper Finalist] Using Container Migration for HPC Workloads Resilience - Presentation Mohamad Sindi, John R. Williams (MIT) [Best Student Paper Finalist] Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware - Presentation Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna (USC) Singularity for Machine Learning Applications - Analysis of Performance Impact - Presentation 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 - Presentation Cong Wang, Komal Thareja, Michael Stealey, Paul Ruth, Ilya Baldin (RENCI, Univ. North Carolina) Introducing DyMonDS-as-a-Service (DyMaaS) for Internet of Things - Presentation Marija Ilic, Rupamathi Jaddivada (MIT)