Plenary Session Chair: David Martinez, Associate Division Head, MIT Lincoln Laboratory Keynote Speaker: Research Directions in AI Algorithms and Systems Dr. Lisa Amini (IBM Director of IBM Research Cambridge) Machine Learning 1 Chair: Ayse Coskun / Boston University Invited Talk: Energy-Efficient Deep Neural Networks Prof. Vivienne Sze (MIT RLE) [Best Paper Finalist] Fast and accurate object detection in high resolution 4K and 8K video using GPUs Vıt Ruzicka, Franz Franchetti (CMU) [Best Student Paper Finalist] Chameleon: A Generalized Reconfigurable Open-Source Architecture for Deep NeuralNetwork Training Mihailo Isakov, Alan Ehret, Michel Kinsy (Boston University) [Best Student Paper Finalist] SlimNets: An Exploration of Deep Model Compression and Acceleration Christopher Sweeney, Subby Olubeko, Ini Oguntola (MIT) Sparse Deep Neural Network Exact Solutions Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Sid Samsi (MIT)  Resilient Computing Chair: Albert Reuther / MIT [Best Paper Finalist] Measuring the Impact of Spectre and Meltdown 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) Functionality and Security Co-design Environment for Embedded Systems Jacob Leemaster, Michael Vai, David Whelihan, Haley Whitman, Roger Khazan (MIT) Design and Implementation of a Dynamic Information Flow Tracking Architecture to Secure a RISC-V Core for IoT Applications Christian Palmiero (Politecnico di Torino), Giuseppe Di Guglielmo (Columbia University), Luciano Lavagno (Politecnico di Torino), Luca P. Carloni (Columbia University) Fault Tolerance Performance Evaluation of Large Scale Distributed Storage Systems: HDFS and Ceph Case Study Yehia Arafa, Atanu Barai, Abdel-Hameed Badawy, Mai Zheng (New Mexico State University) The Robustness of Modern Deep Learning Architectures against Single Event Upset Errors Austin Arechiga, Alan Michaels (Virginia Polytechnic) Graphs and Sparse Data 1 Chair: Manoj Kumar / IBM Hornet: An Efficient Data Structure for Dynamic Sparse Graphs and Matrices on GPUs Federico Busato (University of Verona), Oded Green (Georgia Tech), Nicola Bombieri (University of Verona), David Bader (Georgia Tech) Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack Dongarra (University of Tennessee Knoxville) Accelerating Dijkstra's Algorithm Using Multiresolution Priority Queues Jordi Ros­Giralt, Alan Commike, Peter Cullen, Richard Lethin (Reservoir Labs) [Best Student Paper Finalist] Damping Effect on PageRank Distribution Tiancheng Liu, Yuchen Qian, Xi Chen, Xiaobai Sun (Duke University) Packed Compressed Sparse Row: A Dynamic Graph Representation Brian Wheatman, Helen Xu (MIT)   Posters [Innovation Award] Graph algorithms via SuiteSparse:GraphBLAS: triangle counting and K-truss Timothy A. Davis (Texas A&M) [Innovation Award] Logarithmic Radix Binning and Vectorized Triangle Counting Oded Green, James Fox, Alex Watkins, Alok Tripathy, Kasimir Gabert, Euna Kim, Xiaojing An, Kumar Aatish, David Bader (Georgia Tech) [Innovation Award] Investigation of Spectral Clustering for Signed Graph Matrix Representations Alyson Fox, Geoffrey Sanders (LLNL), Andrew Knyazev (CU Denver) New Computing Frontiers Enabled via Photovoltaic Fiber Energy Generation James Hanford, Andrew Weinert (MIT) Scaling Betweenness Centrality in Dynamic Graphs Alok Tripathy, Oded Green (Georgia Tech) A Novel SRL Based Sorter Micro Architecture Alexei Lomakin, Vitaliy Gleyzer, William S. Song, Paul Monticciolo (MIT) Initial Benchmarks for the 64-bit RISC-V U540 Quad-Core Processor James Ross (ARL), David Richie (Brown Deer Technology) High Performance Computing Techniques with Power Systems Simulations Matthew Overlin, Christopher Smith (MIT) Algorithm Design for Large Scale Parallel FFT-Based Simulations on Heterogeneous Platforms Anuva Kulkarni, Franz Franchetti, Jelena Kovacevic (CMU) To Ship or Not to (Function) Ship Feilong Liu, Niranjan Kamat, Spyros Blanas, Arnab Nandi (Ohio State University) Large-Scale Bayesian Kinship Analysis Siddharth Samsi, Bea Yu, Darrell O. Ricke, Philip Fremont-Smith, Jeremy Kepner, Albert Reuther (MIT) Automated OpenVX Buffer Allocation on the TI C66 DSP Madushan Abeysinghe (University of South Carolina), Lucas Weaver (Texas Instruments), Jesse Weaver (Texas Instruments), Kedar Chitnis (Texas Instruments), Jason Bakos (University of South Carolina) Accelerated Aperture Synthesis from Free-flying Collectors Zachary Baker, Josh Payne, Jon Woodring, Nicholas Dallmann, and William Junor (Los Alamos National Lab) Rate-Distortion Optimized Quantization: A Deep Learning Approach Thuong Nguyen Canh, Motong Xu, Byeungwoo Jeon (Sungkyunkwan Unviersity) ASIC & FPGA 1 Chair: David Cousins / BBN Invited Talk: Intelligent Design Automation, System Optimization, and Open Hardware Mr. Andreas Olofsson (DARPA MTO) Evaluating an OpenCL FPGA Platform for HPC: a Case Study with the HACCmk Kernel Zheming Jin, Hal Finkel (Argonne National Lab) Exploring Parallel Bitonic Sort on a Migratory Thread Architecture Kaushik Velusamy (UMBC), Thomas B. Rolinger (University of Maryland), Janice McMahon (Emu Solutions), and Tyler Simon (UMBC) Unlocking Performance-Programmability by Penetrating the Intel FPGA OpenCL Toolflow Ahmed Sanaullah, Martin Herbordt (Boston University) Application Aware Tuning of Reconfigurable Multi-Layer Perceptron Architectures Ahmed Sanaullah, Chen Yang (Boston University), Yuri Alexeev, Kazutomo Yoshii (Argonne National Lab), Martin Herbordt (Boston University)   Manycore Chair: Michel Kinsy / Boston University [Best Paper Finalist] Designing Algorithms for the EMU Migrating-threads-based Architecture Mehmet Belviranli, Seyong Lee, Jeffrey Vetter (Oak Ridge National Lab) [Best Student Paper Finalist] A Distributed Framework for Low-Latency OpenVX over the RDMA NoC of a Clustered Manycore Julien Hascoet, Benoıt Dupont de Dinechin (Kalray), Karol Desnos, Jean-Francois Nezan (University of Rennes) GoblinCore-64: A RISC-V Based Architecture for Data Intensive Computing John Leidel, Xi Wang, Yong Chen (Texas Tech) Performance portability of a fluidized bed solver V M Krushnarao Kotteda, Vinod Kumar (UTEP), William Spotz, Daniel Sunderland (Sandia National Lab) Implementing the Jaccard Index on the Migratory Memory-Side Processing Emu Architecture Timothy Dysart, Peter Kogge, Geraud Krawezik, Shannon Kuntz, Janice McMahon (Emu Technology) Graphs & Sparse Data 2 Chair: Scott McMillan / CMU Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud Vijay Gadepally, Lauren Milechin,Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Micheal Houle, Micheal Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, Siddharth Samsi (MIT) Performance of Graph Analytics Applications on Many-Core Processors Jenna Wise (CMU), Emily Lederman (Cornell University), Manoj Kumar, Pratap Pattnaik (IBM) Towards Triangle Counting on GPU using Stable Radix binning Nishith Tirpankar, Hari Sundar (University of Utah) Chapel HyperGraph Library (CHGL) Louis Jenkins (Pacific Northwest National Lab), Tanveer Bhuiyan, Sarah Harun, Christopher Lightsey, David Mentgen (Mississippi State University), Sinan Aksoy, Timothy Stavenger, Marcin Zalewski (Pacific Northwest National Lab), Hugh Medal (Mississippi State University), Cliff Joslyn (Pacific Northwest National Lab) Performance Effects of Backing Data Stores in Community Detection Algorithms Rohit Thankachan, Brian Swenson, James Fairbanks (Georgia Tech) IEEE/DARPA/Amazon Graph Challenge Awards Chair: Jeremy Kepner / MIT GraphChallenge.org: Raising the Bar on Graph Analytic Performance Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael Hurley, Michael Jones, Edward Kao, Sanjeev Mohindra, Albert Reuther, Steven Smith, William Song, Diane Staheli, Paul Monticciolo (MIT) [Champion] Fast Triangle Counting Using Cilk Abdurrahman Yasar, Sivasankaran Rajamanickam, Michael Wolf, Jonathan Berry (Sandia), Umit V. Catalyurek (Georgia Tech) [Champion] High-Performance Triangle Counting on GPUs Yang Hu (GWU), Hang Liu (UMass Lowell), H. Howie Huang (GWU) [Champion] Update on Static Graph Challenge on GPU Mauro Bisson, Massimiliano Fatica (Nvidia) [Champion] K-truss decomposition for Scale-Free Graphs at Scale in Distributed Memory Roger Pearce, Geoffrey Sanders (LLNL) [Finalist] Fast and Adaptive List Intersections on the GPU James Fox, Oded Green, Kasimir Gabert, Xiaojing An, David Bader (Georgia Tech) [Finalist] Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition Vikram Mailthody, Ketan Date, Zaid Qureshi, Carl Pearson, Rakesh Nagi (UIUC), Jinjun Xiong (IBM), Wen-mei Hwu (UIUC) [Finalist] Preliminary Exploration on Large-Scale Triangle Counting in Shared-Memory Multicore System Jiyuan Zhang, Franz Franchetti [Finalist] Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices Meng Low, Daniele G. Spampinato, Anurag Kutuluru, Upasana Sridhar, Doru Thom Popovici, Franz Franchetti, Scott McMillan (CMU) [Finalist] Discovering k-Trusses in Large-Scale Network Alessio Conte (NII Tokyo), Daniele De Sensi, Roberto Grossi, Andrea Marino, Luca Versari (Universita di Pisa) Invited Talk:  5:10-5:30 Advanced Computing & Cyber Systems Dr. Richard Linderman (Deputy Director - DoD ASDR&E Information Systems and Cyber Technologies) Invited Talk: Redis Graph & GraphBLAS Mr. Roi Lipman (Redis Labs)