IEEE HPEC Preliminary Agenda
Tuesday, September 24 Morning
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
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)
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)
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
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)
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)
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)
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]
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)
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)
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)
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
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
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.)
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)
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
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.)
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
TBD