SC17 Denver, CO

Technical Program Posters

  1. P01: Cache-Blocking Tiling of Large Stencil Codes at Runtime. Istvan Z. Reguly (Pazmany Peter Catholic University), Gihan R. Mudalige (University of Warwick), and Mike B. Giles (University of Oxford)
  2. P02: Strassen's Algorithm for Tensor Contraction. Jianyu Huang, Devin A. Matthews, and Robert A. van de Geijn (University of Texas)
  3. P03: BEM4I: A Massively Parallel Boundary Element Solver. Michal Merta, Jan Zapletal, Michal Kravcenko, and Lukas Maly (Technical University of Ostrava)
  4. P04: Unstructured-Grid CFD Algorithms on Many-Core Architectures. Aaron Walden and Eric J. Nielsen (NASA Langley Research Center); Mohammad Zubair (Old Dominion University); John C. Linford (ParaTools); John G. Wohlbier (Engility Corporation); Justin P. Luitjens (Nvidia Corporation); Jason Orender (Old Dominion University); and Izaak Beekman, Samuel Khuvis, and Sameer S. Shende (ParaTools)
  5. P05: ooc_cuDNN : A Deep Learning Library Supporting CNNs over GPU Memory Capacity. Yuki Ito, Ryo Matsumiya, and Toshio Endo (Tokyo Institute of Technology)
  6. P06: Large Scale FFT-Based Stress-Strain Simulations with Irregular Domain Decomposition. Anuva Kulkarni, Franz Franchetti, and Jelena Kovacevic (Carnegie Mellon University)
  7. P07: PORTAGE - A Flexible Conservative Remapping Framework for Modern HPC Architectures. Rao V. Garimella, Peter D. Crossman, Gary A. Dilts, Rajeev S. Erramilli, Charles R. Ferenbaugh, Angela M. Herring, Eugene Kikinzon, Chris M. Malone, Navamita Ray, and Mike L. Rogers (Los Alamos National Laboratory)
  8. P08: Performance Optimization of Matrix-free Finite-Element Algorithms within deal.II. Martin Kronbichler (Technical University Munich), Karl Ljungkvist (Uppsala University), Momme Allalen and Martin Ohlerich (Leibniz Supercomputing Centre), Igor Pasichnyk (IBM), and Wolfgang A. Wall (Technical University Munich)
  9. P09: Adaptive Multistep Predictor for Accelerating Dynamic Implicit Finite-Element Simulations. Kohei Fujita and Tsuyoshi Ichimura (University of Tokyo, RIKEN); Masashi Horikoshi (Intel Corporation); and Muneo Hori and Lalith Maddegedara (University of Tokyo, RIKEN)
  10. P10: HiCOO: A Hierarchical Sparse Tensor Format for Tensor Decompositions. Jiajia Li, Jimeng Sun, and Richard Vuduc (Georgia Institute of Technology)
  11. P11: Energy-Efficient Transprecision Techniques for Iterative Refinement. JunKyu Lee, Hans Vandierendonck, and Dimitrios S. Nikolopoulos (Queen's University Belfast)
  12. P12: Multi-Size Optional Offline Caching Algorithms. Andrew Y. Choliy (Rutgers University), Max D. Whitmore (Brandeis University), and Gruia Calinescu (Illinois Institute of Technology)
  13. P13: Large-Scale GW Calculations on Pre-Exascale HPC Systems. Mauro Del Ben (Lawrence Berkeley National Laboratory); Felipe H. da Jornada (University of California, Berkeley); Andrew Canning (Lawrence Berkeley National Laboratory); Nathan Wichmann (Cray Inc); Karthik Raman and Ruchira Sasanka (Intel Corporation); Chao Yang (Lawrence Berkeley National Laboratory); and Steven G. Louie (Lawrence Berkeley National Laboratory; University of California, Berkeley)
  14. P14: Robust SA-AMG Solver by Extraction of Near-Kernel Vectors. Naoya Nomura and Kengo Nakajima (University of Tokyo) and Akihiro Fujii (Kogakuin University)
  15. P15: Toward Decoupling the Selection of Compression Algorithms from Quality Constraints. Julian Kunkel (German Climate Computing Center), Anastasiia Novikova (University of Hamburg), and Eugen Betke (German Climate Computing Center)
  16. P16: Scaling Analysis of a Hierarchical Parallelization of Large Inverse Multiple-Scattering Solutions. Mert Hidayetoglu, Carl Pearson, Izzat El-Hajj, Weng Cho Chew, Levent Gurel, and Wen-Mei Hwu (University of Illinois)
  17. P17: Fully Non-Blocking Communication-Computation Overlap Using Assistant Cores toward Exascale Computing. Motoki Nakata, Masanori Nunami, and Shinsuke Satake (National Institute for Fusion Science); Yoshihiro Kasai (Fujitsu Ltd); Shinya Maeyama and Tomo-Hiko Watanabe (Nagoya University); and Yasuhiro Idomura (Japan Atomic Energy Agency)
  18. P18: A Parallel Python Implementation of BLAST+ (PPIB) for Characterization of Complex Microbial Consortia. Amina Jackson, William Connor Horne, Daniel Beall, Kenneth Jiang, and William Judson Hervey (Naval Research Laboratory)
  19. P19: MPI-GIS: An MPI System for Big Spatial Data. Satish Puri (Marquette University)
  20. P20: Facilitating the Scalability of ParSplice for Exascale Testbeds. Vinay B. Ramakrishnaiah (University of Wyoming); Jonas L. Landsgesell (University of Stuttgart); Ying Zhou (Loughborough University); Iris Linck (University of Colorado, Denver); Mouad Ramil (National School of Bridges and Roads - ParisTech); Joshua Bevan (University of Illinois); and Danny Perez, Louis J. Vernon, Thomas D. Swinburne, Robert S. Pavel, and Christoph Junghans (Los Alamos National Laboratory)
  21. P21: The First Real-Scale DEM Simulation of a Sandbox Experiment Using 2.4 Billion Particles. Mikito Furuichi and Daisuke Nishiura (Japan Agency for Marine-Earth Science and Technology), Mitsuteru Asai (Kyushu University), and Takane Hori (Japan Agency for Marine-Earth Science and Technology)
  22. P22: Numerical Simulation of Snow Accretion by Airflow Simulator and Particle Simulator. Kohei Murotani, Koji Nakade, and Yasushi Kamata (Railway Technical Research Institute)
  23. P23: AI with Super-Computed Data for Monte Carlo Earthquake Hazard Classification. Tsuyoshi Ichimura and Kohei Fujita (University of Tokyo, RIKEN); Takuma Yamaguchi (University of Tokyo); Muneo Hori and Maddegedara Lalith (University of Tokyo, RIKEN); and Naonori Ueda (RIKEN)
  24. P24: A Deployment of HPC Algorithm into Pre/Post-Processing for Industrial CFD on K-Computer. Keiji Onishi (RIKEN); Niclas Jansson (KTH Royal Institute of Technology); Rahul Bale and Wei-Hsiang Wang (RIKEN); and Chung-Gang Li and Makoto Tsubokura (Kobe University, RIKEN)
  25. P25: Large-Scale Adaptive Mesh Simulations Through Non-Volatile Byte-Addressable Memory. Bao Nguyen, Hua Tan, and Xuechen Zhang (Washington State University, Vancouver)
  26. P26: Optimizing Gravity and Nuclear Physics in FLASH for Exascale. Hannah Klion (University of California, Berkeley; Oak Ridge National Laboratory); Bronson Messer (Oak Ridge National Laboratory, University of Tennessee); and J. Austin Harris and Thomas Papatheodore (Oak Ridge National Laboratory)
  27. P27: Parallelization of the Particle-In-Cell Monte Carlo Collision (PIC-MCC) Algorithm for Plasma Simulation on Intel MIC Xeon Phi Architecture. Keval Shah, Anusha Phadnis, Miral Shah, and Bhaskar Chaudhury (Dhirubhai Ambani Institute of Information and Communication Technology)
  28. P28: High-Fidelity Blade-Resolved Wind Plant Modeling. Andrew C. Kirby, Zhi Yang, Michael J. Brazell, and Behzad R. Ahrabi (University of Wyoming); Jay Sitaraman (Parallel Geometric Algorithms LLC); and Dimitri J. Mavriplis (University of Wyoming)
  29. P29: A Deep Learning Tool for Fast Simulation. Sofia Vallecorsa, Gul rukh Khattak, and Shruti Sharan (CERN)
  30. P30: MPI/OpenMP Parallelization of the Hartree-Fock Method for the Second Generation Intel Xeon Phi. Kristopher Keipert (Iowa State University), Vladimir Mironov (Lomonosov Moscow State University), Yuri Alexeev (Argonne National Laboratory), Michael D'mello (Intel Corporation), Alexander Moskovsky (RSC Technologies), and Mark S. Gordon (Iowa State University)
  31. P31: Understanding the Performance of Small Convolution Operations for CNN on Intel Architecture. Alexander Heinecke, Evangelos Georganas, Kunal Banerjee, Dhiraj Kalmakar, Narayanan Sundaram, Anand Venkat, Greg Henry, and Hans Pabst (Intel Corporation)
  32. P32: Exploring the Performance of Electron Correlation Method Implementations on Kove XPDs. Colleen Bertoni, Brian Toonen, and William Allcock (Argonne National Laboratory); Spencer R. Pruitt (Worcester Polytechnic Institute); and Mark S. Gordon (Iowa State University)
  33. P33: Massively Parallel Evolutionary Computation for Empowering Electoral Reform: Quantifying Gerrymandering via Multi-objective Optimization and Statistical Analysis. Wendy K. Cho and Yan Liu (National Center for Supercomputing Applications, University of Illinois)
  34. P34: GPU Acceleration for the Impurity Solver in GW+DMFT Packages. Kwangmin Yu, Patrick Semon, and Nicholas D'Imperio (Brookhaven National Laboratory)
  35. P35: Using HPC to Model Quantum-Dot Cellular Automata. Gabriel Hahn (Baylor University)
  36. P36: A Novel Feature-Preserving Spatial Mapping for Deep Learning Classification of Ras Structures. Thomas Corcoran, Rafael Zamora-Resendiz, Xinlian Liu, and Silvia Crivelli (Lawrence Berkeley National Laboratory)
  37. P37: PaSTRI: A Novel Data Compression Algorithm for Two-Electron Integrals in Quantum Chemistry. Ali Murat Gok (Argonne National Laboratory, Northwestern University); Dingwen Tao (University of California, Riverside); Sheng Di (Argonne National Laboratory); Vladimir Mironov (Lomonosov Moscow State University); and Yuri Alexeev and Franck Cappello (Argonne National Laboratory)
  38. P38: Benchmarking Parallelized File Aggregation Tools for Large Scale Data Management. Tiffany Li, Craig Steffen, Ryan Chui, Roland Haas, and Liudmila S. Mainzer (National Center for Supercomputing Applications, University of Illinois)
  39. P39: Extremely Large, Wide-Area Power-Line Models. Ross N. Adelman (US Army Research Laboratory)
  40. P40: Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs. Filip Vaverka (Brno University of Technology), Bradley E. Treeby (University College London), and Jiri Jaros (Brno University of Technology)
  41. P41: OpenCL-Based High-Performance 3D Stencil Computation on FPGAs. Hamid Reza Zohouri and Artur Podobas (Tokyo Institute of Technology), Naoya Maruyama (RIKEN), and Satoshi Matsuoka (Tokyo Institute of Technology)
  42. P42: TRIP: An Ultra-Low Latency, TeraOps/s Reconfigurable Inference Processor for Multi-Layer Perceptrons. Ahmed Sanaullah and Chen Yang (Boston University), Yuri Alexeev and Kazutomo Yoshii (Argonne National Laboratory), and Martin C. Herbordt (Boston University)
  43. P43: Deep Packet/Flow Analysis Using GPUs. Qian Gong, Wenji Wu, and Phil DeMar (Fermi National Laboratory)
  44. P44: Increasing Throughput of Multiprogram HPC Workloads: Evaluating a SMT Co-Scheduling Approach. Elias Lundmark and Chris Persson (University West Sweden); Andreas de Blanche (University West Sweden, Tetra Pak); and Thomas Lundqvist (University West Sweden)
  45. P45: Campaign Storage: Erasure Coding with GPUs. Walker Haddock (University of Alabama, Birmingham); Matthew L. Curry (Sandia National Laboratories); Purushotham Bangalore (University of Alabama, Birmingham); and Anthony Skjellum (University of Tennessee, Chattanooga)
  46. P46: Understanding How OpenCL Parameters Impact on Off-Chip Memory Performance of FPGA Platforms. Yingyi Luo (Northwestern University), Zheming Jin and Kazutomo Yoshii (Argonne National Laboratory), and Seda Ogrenci-Memik (Northwestern University)
  47. P47: Understanding Congestion on Omni-Path Fabrics. Lauren Gillespie (Southwestern University), Christopher Leap (University of New Mexico), and Dan Cassidy (Los Alamos National Laboratory)
  48. P48: Prototyping of Offloaded Persistent Broadcast on Tofu2 Interconnect. Yoshiyuki Morie, Masayuki Hatanaka, Masamichi Takagi, Atsushi Hori, and Yutaka Ishikawa (RIKEN)
  49. P49: Toward Exascale HPC Systems: Exploiting Advances in High Bandwidth Memory (HBM2) through Scalable All-to-All Optical Interconnect Architectures. Pouya Fotouhi, Roberto Proietti, Paolo Grani, Mohammad Amin Nazirzadeh, and S. J. Ben Yoo (University of California, Davis)
  50. P50: Energy-Efficient and Scalable Bio-Inspired Nanophotonic Computing. Mohammadamin Nazirzadeh, Pouya Fotouhi, Mohammadsadegh Shamsabardeh, Roberto Proietti, and S. J. Ben Yoo (University of California, Davis)
  51. P51: TuPiX-Flow: Workflow-Based Large-Scale Scientific Data Analysis System. Sunggeun Han, Jung-Ho Um, Hyunwoo Kim, and Kyongseok Park (Korea Institute of Science and Technology Information)
  52. P52: A Simulation-Based Analysis on the Configuration of Burst Buffer. Tianqi Xu (Tokyo Institute of Technology), Kento Sato (Lawrence Livermore National Laboratory), and Satoshi Matsuoka (Tokyo Institute of Technology)
  53. P53: TensorViz: Visualizing the Training of Convolutional Neural Network Using ParaView. Xinyu Chen (University of New Mexico); Qiang Guan (Los Alamos National Laboratory); Xin Liang (University of California, Riverside); Li-Ta Lo (Los Alamos National Laboratory); Simon Su (US Army Research Laboratory); Trilce Estrada (University of New Mexico); and James Ahrens (Los Alamos National Laboratory)
  54. P54: Investigating Hardware Offloading for Reed-Solomon Encoding. John W. Dermer (Los Alamos National Laboratory); Gustavo De Leon (Los Alamos National Laboratory; University of California, Berkeley); and Tyler S. Rau (Los Alamos National Laboratory)
  55. P55: Incorporating Proactive Data Rescue into ZFS Disk Recovery for Enhanced Storage Reliability. Zhi Qiao and Song Fu (University of North Texas) and Hsing-bung Chen and Michael Lang (Los Alamos National Laboratory)
  56. P56: ZoneTier: A Zone-Based Storage Tiering and Caching Co-Design to Integrate SSDs with Host-Aware SMR Drives. Xuchao Xie and Liquan Xiao (National University of Defense Technology) and David H.C. Du (University of Minnesota)
  57. P57: Adaptive Tier Selection for NetCDF and HDF5. Jakob Luettgau and Eugen Betke (German Climate Computing Center), Olga Perevalova (University of Hamburg), Julian Kunkel (German Climate Computing Center), and Michael Kuhn (University of Hamburg)
  58. P58: Wharf: Sharing Docker Images across Hosts from a Distributed Filesystem. Chao Zheng (University of Notre Dame); Lukas Rupprecht, Vasily Tarasov, Mohamed Mohamed, Dimitrios Skourtis, Amit S. Warke, and Dean Hildebrand (IBM); and Douglas Thain (University of Notre Dame)
  59. P59: Secure Enclaves: An Isolation-Centric Approach for Creating Secure High-Performance Computing Environments. Ferrol Aderholdt, Susan Hicks, Thomas Naughton, and Lawrence Sorrillo (Oak Ridge National Laboratory); Blake Caldwell (University of Colorado, Boulder); and James Pogge and Stephen L. Scott (Tennessee Technological University)
  60. P60: Managing dbGaP Data with Stratus, a Research Cloud for Protected Data. Evan F. Bollig, Graham Allan, Benjamin J. Lynch, Yectli Huerta, Mathew Mix, Brent Swartz, Edward A. Munsell, Joshua Leibfried, and Naomi Hospodarsky (University of Minnesota)
  61. P61: Cloud Resource Selection Based on PLS Method for Deploying Optimal Infrastructures for Genomic Analytics Application. Katsunori Miura (Kitami Institute of Technology) and Courtney Powell and Masaharu Munetomo (Hokkaido University)
  62. P62: How To Do Machine Learning on Big Clusters. Thomas Ashby and Tom Vander Aa (IMEC); Stanislav Bohm, Vojtech Cima, and Jan Martinovic (Technical University of Ostrava); and Vladimir Chupakhin (Janssen Global Services LLC)
  63. P63: FleCSPH: a Parallel and Distributed Smoothed Particle Hydrodynamics Framework Based on FleCSI. Julien Loiseau (University of Reims Champagne-Ardenne), Hyun Lim (Brigham Young University), and Ben Bergen and Nicholas Moss (Los Alamos National Laboratory)
  64. P64: romeoLAB : HPC Training Platform on HPC facility. Jean-Matthieu Etancelin and Arnaud Renard (University of Reims Champagne-Ardenne)
  65. P65: CAPES: Unsupervised System Performance Tuning Using Neural Network-Based Deep Reinforcement Learning. Yan Li, Kenneth Chang, Oceane Bel, Ethan Miller, and Darrell Long (University of California, Santa Cruz)
  66. P66: Analyzing Multi-Layer I/O Behavior of HPC Applications. Ronny Tschüter, Christian Herold, Bert Wesarg, and Matthias Weber (Technical University Dresden)
  67. P67: Measuring I/O Behavior on Upcoming Systems with NVRAM. Christian Herold and Ronny Tschüter (Technical University Dresden)
  68. P68: Continuous Clock Synchronization for Accurate Performance Measurements. Johannes Ziegenbalg and Matthias Weber (Technical University Dresden)
  69. P69: Portable Methods for Measuring Cache Hierarchy Performance. Tom Deakin, James Price, and Simon McIntosh-Smith (University of Bristol)
  70. P70: FFT, FMM, and Multigrid on the Road to Exascale: Performance Challenges and Opportunities. Huda Ibeid, Luke Olson, and William Gropp (University of Illinois)
  71. P71: Is ARM Software Ecosystem Ready for HPC?. Fabio Banchelli, Daniel Ruiz, Ying Hao Xu Lin, and Filippo Mantovani (Barcelona Supercomputing Center)
  72. P72: New Developments for PAPI 5.6+. Anthony Danalis and Heike Jagode (University of Tennessee), Vince Weaver and Yan Liu (University of Maine), and Jack Dongarra (University of Tennessee)
  73. P73: HPC Production Job Quality Assessment. Omar Aaziz and Jonathan Cook (New Mexico State University)
  74. P74: A Methodology for Bridging the Native and Simulated Executions of Parallel Applications. Ali Mohammed, Ahmed Eleliemy, and Florina M. Ciorba (University of Basel)
  75. P75: Model-Agnostic Influence Analysis for Performance Data. Rahul Sridhar (University of California, Irvine; Lawrence Livermore National Laboratory) and Rushil Anirudh, Jayaraman J. Thiagarajan, Nikhil Jain, and Todd Gamblin (Lawrence Livermore National Laboratory)
  76. P76: A Compiler Agnostic and Architecture Aware Predictive Modeling Framework for Kernels. William Killian (University of Delaware), Ian Karlin and David Beckingsale (Lawrence Livermore National Laboratory), and John Cavazos (University of Delaware)
  77. P77: AutoTuneTMP: Auto Tuning in C++ With Runtime Template Metaprogramming. David Pfander and Dirk Pflüger (University of Stuttgart)
  78. P78: Performance Evaluation of Graph500 Considering CPU-DRAM Power Shifting. Yuta Kakibuka, Yuichiro Yasui, Takatsugu Ono, Katsuki Fujisawa, and Koji Inoue (Kyushu University)
  79. P79: Porting the Opacity Client Library to a CPU-GPU Cluster Using OpenMP 4.5. Jason S. Kimko (College of William and Mary), Michael M. Pozulp and Riyaz Haque (Lawrence Livermore National Laboratory), and Leopold Grinberg (IBM)
  80. P80: Adaptive Loop Scheduling with Charm++ to Improve Performance of Scientific Applications. Vivek Kale (University of Southern California), Harshitha Menon (Lawrence Livermore National Laboratory), and Karthik Senthil (University of Illinois)
  81. P81: Offloading Python Kernels to Micro-Core Architectures. Nick Brown (University of Edinburgh)
  82. P82: Performance Evaluation of the NVIDIA Tesla P100: Our Directive-Based Partitioning and Pipelining vs. NVIDIA’s Unified Memory. Xuewen Cui (Virginia Tech), Thomas R. W. Scogland and Bronis R. de Supinski (Lawrence Livermore National Laboratory), and Wu-chun Feng (Virginia Tech)
  83. P83: Contracts for Message-Passing Programs. Ziqing Luo and Stephen F. Siegel (University of Delaware)
  84. P84: PRESAGE: Selective Low Overhead Error Amplification for Easy Detection. VIshal Chandra Sharma, Arnab Das, Ian Briggs, and Ganesh Gopalakrishnan (University of Utah) and Sriram Krishnamoorthy (Pacific Northwest National Laboratory)
  85. P85: GPU Mekong: Simplified Multi-GPU Programming Using Automated Partitioning. Alexander Matz (University of Heidelberg)
  86. P86: HyGraph: High Performance Graph Processing on Hybrid CPU+GPUs platforms. Stijn Heldens (University of Twente), Ana Lucia Varbanescu (University of Amsterdam), and Alexandru Iosup (Vrije University Amsterdam)
  87. P87: EoCoE Performance Benchmarking Methodology for Renewable Energy Applications. Paul Gibbon (Forschungszentrum Juelich); Matthieu Haefele (French Alternative Energies and Atomic Energy Commission); and Sebastian Luehrs (Forschungszentrum Juelich, Juelich Supercomputing Center)
  88. P88: PetaVision Neural Simulation Toolbox on Intel KNLs. Boram Yoon (Los Alamos National Laboratory) and Pete Schultz and Garrett Kenyon (Los Alamos National Laboratory, New Mexico Consortium)
  89. P89: Desh: Deep Learning for HPC System Health Resilience. Anwesha Das (North Carolina State University), Abhinav Vishnu and Charles Siegel (Pacific Northwest National Laboratory), and Frank Mueller (North Carolina State University)
  90. P90: Global Survey of Energy and Power-Aware Job Scheduling and Resource Management in Supercomputing Centers. Siddhartha Jana (Intel Corporation), Gregory A. Koenig (Energy Efficient HPC Working Group), Matthias Maiterth (Intel Corporation), Kevin T. Pedretti (Sandia National Laboratories), Andrea Borghesi (University of Bologna), Andrea Bartolini (ETH Zurich), Bilel Hadri (King Abdullah University of Science and Technology), and Natalie J. Bates (Energy Efficient HPC Working Group)
  91. P91: Assessing the Availability of Source Code in Computational Physics. Matthew Krafczyk (National Center for Supercomputing Applications, University of Illinois) and Victoria Stodden, Yantong Zheng, and David Wong (University of Illinois)
  92. P92: Characterization and Comparison of Application Resilience for Serial and Parallel Executions. Kai Wu (University of California, Merced); Qiang Guan and Nathan DeBardeleben (Los Alamos National Laboratory, Ultrascale Systems Research Center); and Dong Li (University of California, Merced)
  93. P93: Spacehog: Evaluating the Costs of Dedicating Resources to In Situ Analysis. Rebecca Kreitinger (University of New Mexico) and Scott Levy, Kurt B. Ferreira, and Patrick Widener (Sandia National Laboratories)
  94. P94: Fully Hierarchical Scheduling: Paving the Way to Exascale Workloads. Stephen Herbein (University of Delaware); Tapasya Patki, Dong H. Ahn, Don Lipari, Tamara Dahlgren, and David Domyancic (Lawrence Livermore National Laboratory); and Michela Taufer (University of Delaware)
  95. P95: GEOPM: A Scalable Open Runtime Framework for Power Management. Siddhartha Jana, Asma H. Al-rawi, Steve S. Sylvester, Christopher M. Cantalupo, Brad Geltz, Brandon Baker, and Jonathan M. Eastep (Intel Corporation)
  96. P96: Correcting Detectable Uncorrectable Errors in Memory. Grzegorz Pawelczak and Simon McIntosh-Smith (University of Bristol)
  97. P97: Profile Guided Kernel Optimization for Individual Container Execution on Bare-Metal Container. Kuniyasu Suzaki, Hidetaka Koie, and Ryousei Takano (National Institute of Advanced Industrial Science and Technology)
  98. P98: Energy Efficiency in HPC with Machine Learning and Control Theory. Connor Imes (University of Chicago), Steven Hofmeyr (Lawrence Berkeley National Laboratory), and Henry Hoffmann (University of Chicago)
  99. P99: The Intersection of Big Data and HPC: Using Asynchronous Many Task Runtime Systems for HPC and Big Data. Joshua Daniel Suetterlein (Pacific Northwest National Laboratory); Joshua Landwehr (Trovares Inc); Andres Marquez, Joseph Manzano, and Kevin Barker (Pacific Northwest National Laboratory); and Guang Gao (University of Delaware)

SC17 Archive