IEEE HPEC Preliminary Agenda

Tuesday, September 24 Morning

Tutorial: Security Design of Mission-Critical Embedded Systems (9am-12:30pm)[Eden Vale A1]

Instructor: Dr. Michael Vai (MIT LL)

Tutorial: Building graph algorithms with the GraphBLAS (9am-12:30pm)[Eden Vale A2]

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 (9am-12:30pm)[Eden Vale C1/C2]

Instructor: Dr. Jeremy Kepner (MIT LLSC)

Tuesday, September 24 Afternoon

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)[Eden Vale C1/C2]

Instructor: Prof. Raj Rao (University of Michigan)

Tutorial: A Quantum Computing Primer with Sample Programming Exercises (1:30pm-5:00pm)[Eden Vale A1]

Instructor: Prof. Patrick Dreher (NC State Univ)

Wednesday, September 25 Morning

Plenary Session (9:00-10:00)[Eden Vale B]

Chair: TBD / MIT

Keynote Speaker:

Future Computing Systems

Mr. Michael Rosenfield (IBM Vice President, Data Centric Solutions)

Break (10:00-10:20)

GPU Applications and Technology (10:20-12:00)[Eden Vale A1/A2]

Chair: David Cousins / TBD

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

Evan Kain (SHREC @ Pitt), Diego Wildenstein (Arizona State Univ.), Andrew C. Pineda (AFRL)

Heterogeneous Cache Hierarchy Management for Integrated CPU-GPU Architecture

Hao Wen, Wei Zhang (VCU)

Graphs, Networks & Sparse Data 1 (10:20-12:00)[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

Mauricio J. Serrano (IBM)

Combinatorial Multigrid: Advanced Preconditioners For Ill-Conditioned Linear Systems

M. Harper Langston, Mitchell Harris, Pierre-David Letourneau, Richard Lethin and James Ezick (Reservoir Labs)

Concurrent Katz Centrality for Streaming Graphs

Chunxing Yin, Jason Riedy (Georgia Tech)

Graph Algorithms in PGAS: Chapel and UPC++

Jesun Sahariar Firoz, Louis Jenkins, Marcin Zalewski, Cliff Joslyn, Mark Raugas (PNNL)

HPC (10:20-12:00)[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)

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

Jialing Zhang, Aekyeung Moon, Xiaoyan Zhuo, Seung Woo Son (UMass Lowell)

A Parallel Simulation Approach to ACAS X Development

Adam Gjersvik and Robert J. Moss (MIT-LL)

Lunch (12:00-1:00)[Emerson]

View Posters & Demos 1 (12:00-1:00)[Foyer]

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)

Challenges in Securing High-Performance Computing Systems

Pruthvy Yellu, Zhiming Zhang, Mohammad Mezanur Rahman Monjur, Ranuli Abeysinghe, and 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, 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 Parallel Subgraph Matching 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)

Wednesday, September 25 Afternoon

Scaling HPC Education (1:00-2:40)[Eden Vale C2]

Chair: Julie Mullen / MIT-LL and Lauren Milechin / MIT-EAPS

Invited Talk: Humans in Scaling Research Computing Facilitation and Education

Robert Freeman (Harvard Business School)

Invited Talk: A Workforce Development Strategy for Research Computing

Julie Ma (Northeast Cyberteam Initiative)

Invited Talk: Developing HPC Skills across the University Community

Brian Gregor (Boston University)

Invited Talk: SPOC to MOOC, Extending Local Training to the HPC Community

Julie Mullen (MIT-Lincoln Laboratory); Lauren Milechin (MIT Earth, Atmospheric and Planetary Sciences)

AI 1 (1:00-2:40)[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

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

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

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) [Eden Vale C1]

Chair: Michael Wolf / Sandia

Fast and Scalable Distributed Tensor Decompositions

Muthu Baskaran, Thomas Henretty, James Ezick (Reservoir Labs)

On Computing with Diagonally Structured Matrices

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

Hao Wen, Wei Zhang (VCU)

Manycore (1:00-2:40)[Eden Vale C3]

Chair: David Cousins / TBD

Improving Scheduling for Irregular Applications with Logarithmic Radix Binning

James Fox (Georgia Tech), Alok Tripathy (Georgia Tech), and Oded Green (Georgia Tech, Nvidia)

An Efficient and Composable Parallel Task Programming Library

Chun-Xun Lin, Tsung-Wei Huang, Guannan Guo, Martin D. F. Wong (UIUC)

MeXT: A Flow for Multiprocessor Exploration

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

Charles Jin, Muthu Baskaran, Benoit Meister, Jonathan Springer (Reservoir Labs)

Break (2:40-3:00)

IEEE/DARPA/Amazon Graph Challenge Awards (3:00-5:00)[Eden Vale B]

Chair: Jeremy Kepner / MIT

[Champion] A GPU Implementation of the Sparse Deep Neural Network Graph Challenge

Mauro Bisson, Massimiliano Fatica (NVIDIA)

[Champion] H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs

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

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

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

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

Frank Wanye (Virginia Tech), Vitaliy Gleyzer (MIT LL), Wu-chun Feng (Virginia Tech)

[Student Innovation Award] Accelerating DNN Inference with GraphBLAS and the GPU

Xiaoyun Wang, Zhongyi Lin, Carl Yang, John D. Owens (UC Davis)

[Student Innovation Award] Update on k-truss Decomposition on GPU

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

Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali (UT Austin)

Awards Session (5:00-5:30)[Eden Vale B]

Chair: Jeremy Kepner / MIT

Best Student Paper Award Presentation (5:00) [Eden Vale B]

Chair: Brian Sroka / MITRE

Best Paper Award Presentation (5:10) [Eden Vale B]

Chair: Jeremy Kepner / MIT

IEEE Innovation in Societal Infrastructure Award (5:15) [Eden Vale B]

Chair: Jeremy Kepner / MIT

Invited Talk: Large-Scale Graph Processing

Prof. Julian Shun (MIT CSAIL)

IEEE Innovation in a Societal Infrastructure

John Walz (IEEE)

Reception; View Posters & Demos; Attend BoFs (5:30-8:00)[Emerson & Foyer & Eden Vale]

GraphBLAS BoF (6:00-7:00) [Eden Vale C1]

Co-Chairs: Timothy Mattson / Intel, Marcin Zalewski / PNNL, Scott McMillan / CMU

Vendor Demos


Thursday September 26 Morning

Plenary Session (9:00-10:00) [Eden Vale B]

Chair: 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 Performace Secure Extreme Computing (10:20-12:00)[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

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)

AI 2 (10:20-12:00) [Eden Vale A1/A2]

Chair: Siddharth Samsi / MIT-LL

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

Piotr Luszczek (Univ. Tennessee), Ichitaro Yamazaki (Sandia), Jack Dongarra (Univ. Tennessee, ORNL, Univ. Manchester)

High Performance Data Analysis 1 (10:20-12:00) [Eden Vale C3]

Chair: Nikos Pitsianis / Aristotle

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)[Emerson]

View Posters & Demos 2 (12:00-1:00)[Foyer]

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)

[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)

Thursday September 26 Afternoon

BRAIDS: Boosting Resilience through Artificial Intelligence and Decision Support 1 (1:00-2:40) [Eden Vale A1/A2]

Chair: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov/ACE, Matthew Bates/ACE


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)[Eden Vale C3]

Chair: Karen Gettings / MIT-LL

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)[Eden Vale C1/C2]

Chair: Nikos Pitsianis / Aristotle

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 Support 2 (3:00-5:30) [Eden Vale A1/A2]

Chair: Alexia Schulz / MIT-LL, Pierre Trepagnier / MIT-LL, Igor Linkov/ACE, Matthew Bates/ACE

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) [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

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) [Eden Vale C1/C2]

Chair: Douglas Enright (Aerospace)

[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)[Eden Vale B]

Chair: Jeremy Kepner / MIT

Closing Talk: TBD