2019 IEEE High Performance Extreme Computing Conference(HPEC ‘19)Twenty-third Annual HPEC Conference24 - 26 September 2019Westin Hotel, Waltham, MA USA
Thursday, September 26 MorningPlenary Session9:00-10:00 in Eden Vale BKeynote Speaker:GPU Accelerated Machine LearningMr. Mark Hamilton / Nvidia VP of Solutions Architecture and EngineeringBreak 10:00-10:20HPSEC: High Performance Secure Extreme Computing 10:20-12:00 in Eden Vale C1/C2Chair: Michael Vai / MIT-LLSession AbstractsInvited Talk: Evaluating Fault Resilience of Compressed Deep Neural Networks Prof. Yunsi Fei (Northeastern University)A Survey on Hardware Security Techniques Targeting Low-Power SoC DesignsAlan Ehret (Boston Univ.), Karen Gettings (MIT-LL), Bruce R. Jordan Jr. (MIT-LL), Michel A. Kinsy (Boston Univ.)Securing HPC using Federated AuthenticationAndrew 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 ChipChristophe Bobda (Univ. Florida), Taylor Whitaker (Univ. Arkansas), Joel Mandebi Mbongue (Univ. Florida)Garbled Circuits in the Cloud using FPGA Enabled NodesKai 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 SetupFarah Kandah, Brennan Huber, Amani Altarawneh, Sai Medury, Anthony Skjellum (Univ. Tennessee Chattanooga)Al 210:20-12:00 in Eden Vale A1/A2Chair: Siddharth Samsi / MIT-LLSession AbstractsDeep Learning-Based Nuclei Segmentation of Cleared Brain TissuePooya 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 ContainersDavid 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 SystemWenjia 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 TopologiesSimon Alford, Ryan Robinett, Lauren Milechin, Jeremy Kepner (MIT)[Best Paper Finalist] Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision AcceleratorsPiotr Luszczek (Univ. Tennessee), Ichitaro Yamazaki (Sandia), Jack Dongarra (Univ. Tennessee, ORNL, Univ. Manchester)High Performance Data Analysis 110:20-12:00 in Eden Vale C3Chair: Nikos Pitsianis / AristotleSession AbstractsInvited Talk: Microsoft MLSpark: Unifying Machine Learning Ecosystems at Massive Scales Mark Hamilton (Microsoft)Auxillary Maximum Likelihood Estimation for Noisy Point Cloud RegistrationCole Campton, Xiaobai Sun (Duke)Multi-spectral Reuse Distance: Divining Spatial Information from Temporal DataAnthony 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 ClassificationLeonard Kosta (Boston Univ.), John Irvine (Draper), Laura Seaman (Draper), Hongwei Xi (Boston Univ.)Streaming 1.9 Billion Hypersparse Network Updates per Second with D4MJeremy 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)Lunch12:00-1:00 in EmersonView Posters & Demos 212:00-1:00 in FoyerSession AbstractsApplying Neuromorphic Computing to Compressive SensingRonald Scrofano, Douglas P. Enright, George C. Valley (Aerospace)Context Aware Query Performance Optimization in Healthcare for Big Data AnalyticsManoj Muniswamaiah, Tilak Agerwala, and Charles Tappert (Pace Univ.)Evaluation of the Imbalance Evolution in Parallel Reservoir SimulationMarcin Rogowski, Suha N. Kayum (Saudi Aramco)Optimal Resource Allocation for Parallel Reservoir SimulationSuha N. Kayum, Marcin Rogowski (Saudi Aramco)Exploring the Efficiency of OpenCL Pipe for Hiding Memory Latency on Cloud FPGAsArnab 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 ComputingShigetoshi Nakatake (Univ. Kitakyushu)High-Performance Computing Applications’ Transition to the Cloud in the Oil & Gas IndustrySuha N. Kayum, Marcin Rogowski (Saudi Aramco)[Graph Challenge Honorable Mention] Multithreaded Layer-wise Training of Sparse Deep Neural Networks using Compressed Sparse ColumnMohammad 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 FPGAsSitao 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 GPUCarl 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 AfternoonBRAIDS: Boosting Resilience through Artificial Intelligence and Decision Support 11:00-2:40 in Eden Vale A1/A2Chair: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov / ACE, Matthew Bates / ACESession AbstractsBRAIDS Goals Pierre Trepagnier / MIT-LLCombining Tensor Decompositions and Graph Analytics to Provide Cyber Situational Awareness at HPC ScaleJames 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 ComputingAllan 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 NetworksMihailo 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 TrafficJeremy 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 C3Chair: Karen Gettings / MIT-LLSession AbstractsArtificial Neural Network and Accelerator Co-design using Evolutionary AlgorithmsPhilip Colangelo (Intel), Oren Segal (Hofstra Univ.), Alex Speicher (Hofstra Univ.), Martin Margala (UMass Lowell)IP Cores for Graph Kernels on FPGAsSanmukh R. Kuppannagari, Rachit Rajat, Rajgopal Kannan (USC), Aravind DArizona State Univ. (Intel), Viktor K. Prasanna (USC)FPGA-Accelerated Spreading for Global PlacementShounak 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 SoCAbdelrahman 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 FPGAMohammad Farhadi, Mehdi Ghasemi, Yezhou Yang (Arizona State Univ.)High Performance Data Analysis 21:00-2:40 in Eden Vale C1/C2Chair: Nikos Pitsianis / AristotleSession AbstractsAn Interactive LiDAR to Camera CalibrationYecheng Lyu, Lin Bai, Mahdi Elhousni and Xinming Huang (WPI)Lossless Compression of Internal Files in Parallel Reservoir SimulationMarcin Rogowski, Suha N. Kayum, Florian Mannuss (Saudi Aramco)Scalable Lazy-update Multigrid PreconditionersMajid Rasouli, Vidhi Zala, Robert M. Kirby, Hari Sundar (Univ. Utah)IdPrism: Rapid Analysis of Forensic DNA Samples Using MPS SNP ProfilesDarrell O. Ricke, James Watkins, Philip Fremont-Smith, Adam Michaleas (MIT-LL)A data-driven framework for uncertainty quantification of a fluidized bedV M Krushnarao Kotteda, Anitha Kommu, Vinod Kumar (Univ. Texas El Paso)Break 2:40-3:00BRAIDS: Boosting Resilience through Artificial Intelligence and Decision 23:00-5:30 in Eden Vale A1/A2Chairs: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov / ACE, Matthew Bates / ACESession AbstractsHardware IP Classification through Weighted CharacteristicsBrendan McGeehan, Flora Smith, Thao Le, Hunter Nauman, Jia Di (Univ. Arkansas)Cyber Baselining: Statistical properties of cyber time series and the search for stabilityAlexia Schulz, Ethan Aubin, Pierre Trepagnier, Allan Wollaber (MIT-LL)Breakout DiscussionQuantum3:00-4:40 in Eden Vale C3Chair: Patrick Dreher / NCSUSession Abstracts[Best Paper Finalist] C to D-Wave: A High-level C Compilation Framework for Quantum AnnealersMohamed 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 FrameworkDan Padilha, Serge Weinstock, and Mark Hodson (QxBranch)[Best Student Paper Finalist] Multistart Methods for Quantum Approximate OptimizationRuslan Shaydulin, Ilya Safro (Clemson Univ.), Jeffrey Larson (Argonne)Message Scheduling for Performant, Many-Core Belief PropagationMark Van der Merwe, Vinu Joseph, Ganesh Gopalakrishnan (Univ. Utah)Prototype Container-Based Platform for Extreme Quantum Computing Algorithm DevelopmentPatrick Dreher, Madhuvanti Ramasami (North Carolina State Univ.)Cloud 3:00-4:40 in Eden Vale C1/C2Chair: Douglas Enright / AerospaceSession Abstracts[Best Paper Finalist] Using Container Migration for HPC Workloads ResilienceMohamad Sindi, John R. Williams (MIT)[Best Student Paper Finalist] Design and Implementation of Knowledge Base for Runtime Management of Software Defined HardwareHongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna (USC)Singularity for Machine Learning Applications - Analysis of Performance ImpactBruce 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 InfrastructuresCong Wang, Komal Thareja, Michael Stealey, Paul Ruth, Ilya Baldin (RENCI, Univ. North Carolina)Introducing DyMonDS-as-a-Service (DyMaaS) for Internet of ThingsMarija Ilic, Rupamathi Jaddivada (MIT)Wrap up4:40-5:10 in Eden Vale BChair: Jeremy Kepner/ MIT Lincoln LaboratoryClosing Talk: TBD
Thursday, September 26 MorningPlenary Session9:00-10:00 in Eden Vale BKeynote Speaker:GPU Accelerated Machine LearningMr. Mark Hamilton / Nvidia VP of Solutions Architecture and EngineeringBreak 10:00-10:20HPSEC: High Performance Secure Extreme Computing 10:20-12:00 in Eden Vale C1/C2Chair: Michael Vai / MIT-LLSession AbstractsInvited Talk: Evaluating Fault Resilience of Compressed Deep Neural Networks Prof. Yunsi Fei (Northeastern University)A Survey on Hardware Security Techniques Targeting Low-Power SoC DesignsAlan Ehret (Boston Univ.), Karen Gettings (MIT-LL), Bruce R. Jordan Jr. (MIT-LL), Michel A. Kinsy (Boston Univ.)Securing HPC using Federated AuthenticationAndrew 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 ChipChristophe Bobda (Univ. Florida), Taylor Whitaker (Univ. Arkansas), Joel Mandebi Mbongue (Univ. Florida)Garbled Circuits in the Cloud using FPGA Enabled NodesKai 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 SetupFarah Kandah, Brennan Huber, Amani Altarawneh, Sai Medury, Anthony Skjellum (Univ. Tennessee Chattanooga)Al 210:20-12:00 in Eden Vale A1/A2Chair: Siddharth Samsi / MIT-LLSession AbstractsDeep Learning-Based Nuclei Segmentation of Cleared Brain TissuePooya 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 ContainersDavid 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 SystemWenjia 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 TopologiesSimon Alford, Ryan Robinett, Lauren Milechin, Jeremy Kepner (MIT)[Best Paper Finalist] Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision AcceleratorsPiotr Luszczek (Univ. Tennessee), Ichitaro Yamazaki (Sandia), Jack Dongarra (Univ. Tennessee, ORNL, Univ. Manchester)High Performance Data Analysis 110:20-12:00 in Eden Vale C3Chair: Nikos Pitsianis / AristotleSession AbstractsInvited Talk: Microsoft MLSpark: Unifying Machine Learning Ecosystems at Massive Scales Mark Hamilton (Microsoft)Auxillary Maximum Likelihood Estimation for Noisy Point Cloud RegistrationCole Campton, Xiaobai Sun (Duke)Multi-spectral Reuse Distance: Divining Spatial Information from Temporal DataAnthony 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 ClassificationLeonard Kosta (Boston Univ.), John Irvine (Draper), Laura Seaman (Draper), Hongwei Xi (Boston Univ.)Streaming 1.9 Billion Hypersparse Network Updates per Second with D4MJeremy 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)Lunch12:00-1:00 in EmersonView Posters & Demos 212:00-1:00 in FoyerSession AbstractsApplying Neuromorphic Computing to Compressive SensingRonald Scrofano, Douglas P. Enright, George C. Valley (Aerospace)Context Aware Query Performance Optimization in Healthcare for Big Data AnalyticsManoj Muniswamaiah, Tilak Agerwala, and Charles Tappert (Pace Univ.)Evaluation of the Imbalance Evolution in Parallel Reservoir SimulationMarcin Rogowski, Suha N. Kayum (Saudi Aramco)Optimal Resource Allocation for Parallel Reservoir SimulationSuha N. Kayum, Marcin Rogowski (Saudi Aramco)Exploring the Efficiency of OpenCL Pipe for Hiding Memory Latency on Cloud FPGAsArnab 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 ComputingShigetoshi Nakatake (Univ. Kitakyushu)High-Performance Computing Applications’ Transition to the Cloud in the Oil & Gas IndustrySuha N. Kayum, Marcin Rogowski (Saudi Aramco)[Graph Challenge Honorable Mention] Multithreaded Layer-wise Training of Sparse Deep Neural Networks using Compressed Sparse ColumnMohammad 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 FPGAsSitao 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 GPUCarl 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 AfternoonBRAIDS: Boosting Resilience through Artificial Intelligence and Decision Support 11:00-2:40 in Eden Vale A1/A2Chair: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov / ACE, Matthew Bates / ACESession AbstractsBRAIDS Goals Pierre Trepagnier / MIT-LLCombining Tensor Decompositions and Graph Analytics to Provide Cyber Situational Awareness at HPC ScaleJames 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 ComputingAllan 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 NetworksMihailo 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 TrafficJeremy 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 C3Chair: Karen Gettings / MIT-LLSession AbstractsArtificial Neural Network and Accelerator Co-design using Evolutionary AlgorithmsPhilip Colangelo (Intel), Oren Segal (Hofstra Univ.), Alex Speicher (Hofstra Univ.), Martin Margala (UMass Lowell)IP Cores for Graph Kernels on FPGAsSanmukh R. Kuppannagari, Rachit Rajat, Rajgopal Kannan (USC), Aravind DArizona State Univ. (Intel), Viktor K. Prasanna (USC)FPGA-Accelerated Spreading for Global PlacementShounak 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 SoCAbdelrahman 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 FPGAMohammad Farhadi, Mehdi Ghasemi, Yezhou Yang (Arizona State Univ.)High Performance Data Analysis 21:00-2:40 in Eden Vale C1/C2Chair: Nikos Pitsianis / AristotleSession AbstractsAn Interactive LiDAR to Camera CalibrationYecheng Lyu, Lin Bai, Mahdi Elhousni and Xinming Huang (WPI)Lossless Compression of Internal Files in Parallel Reservoir SimulationMarcin Rogowski, Suha N. Kayum, Florian Mannuss (Saudi Aramco)Scalable Lazy-update Multigrid PreconditionersMajid Rasouli, Vidhi Zala, Robert M. Kirby, Hari Sundar (Univ. Utah)IdPrism: Rapid Analysis of Forensic DNA Samples Using MPS SNP ProfilesDarrell O. Ricke, James Watkins, Philip Fremont-Smith, Adam Michaleas (MIT-LL)A data-driven framework for uncertainty quantification of a fluidized bedV M Krushnarao Kotteda, Anitha Kommu, Vinod Kumar (Univ. Texas El Paso)Break 2:40-3:00BRAIDS: Boosting Resilience through Artificial Intelligence and Decision 23:00-5:30 in Eden Vale A1/A2Chairs: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov / ACE, Matthew Bates / ACESession AbstractsHardware IP Classification through Weighted CharacteristicsBrendan McGeehan, Flora Smith, Thao Le, Hunter Nauman, Jia Di (Univ. Arkansas)Cyber Baselining: Statistical properties of cyber time series and the search for stabilityAlexia Schulz, Ethan Aubin, Pierre Trepagnier, Allan Wollaber (MIT-LL)Breakout DiscussionQuantum3:00-4:40 in Eden Vale C3Chair: Patrick Dreher / NCSUSession Abstracts[Best Paper Finalist] C to D-Wave: A High-level C Compilation Framework for Quantum AnnealersMohamed 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 FrameworkDan Padilha, Serge Weinstock, and Mark Hodson (QxBranch)[Best Student Paper Finalist] Multistart Methods for Quantum Approximate OptimizationRuslan Shaydulin, Ilya Safro (Clemson Univ.), Jeffrey Larson (Argonne)Message Scheduling for Performant, Many-Core Belief PropagationMark Van der Merwe, Vinu Joseph, Ganesh Gopalakrishnan (Univ. Utah)Prototype Container-Based Platform for Extreme Quantum Computing Algorithm DevelopmentPatrick Dreher, Madhuvanti Ramasami (North Carolina State Univ.)Cloud 3:00-4:40 in Eden Vale C1/C2Chair: Douglas Enright / AerospaceSession Abstracts[Best Paper Finalist] Using Container Migration for HPC Workloads ResilienceMohamad Sindi, John R. Williams (MIT)[Best Student Paper Finalist] Design and Implementation of Knowledge Base for Runtime Management of Software Defined HardwareHongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna (USC)Singularity for Machine Learning Applications - Analysis of Performance ImpactBruce 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 InfrastructuresCong Wang, Komal Thareja, Michael Stealey, Paul Ruth, Ilya Baldin (RENCI, Univ. North Carolina)Introducing DyMonDS-as-a-Service (DyMaaS) for Internet of ThingsMarija Ilic, Rupamathi Jaddivada (MIT)Wrap up4:40-5:10 in Eden Vale BChair: Jeremy Kepner/ MIT Lincoln LaboratoryClosing Talk: TBD