SC16 Salt Lake City, UT

Technical Program Posters

  1. 01. Comparison of High Performance Network Options: EDR InfiniBand vs. 100Gb RDMA Capable Ethernet. Kari N. Erickson, Faith V. Van Wig, and Luke A. Kachelmeier (Los Alamos National Laboratory)
  2. 02. Scalable Communication Architectures for GPU-Centric Systems. Benjamin Klenk and Holger Fröning (University of Heidelberg)
  3. 03. Acceleration of All-to-All Communication on Multi-Layer Full Mesh, Low-Cost Connectable Network Topology. Toshihiro Shimizu, Masahiro Miwa, and Kohta Nakashima (Fujitsu Ltd)
  4. 04. Exploring Randomized Multipath Routing on Multi-Dimensional Torus Networks. Prajakt Shastry (Illinois Institute of Technology), Daniel Parker (University of Chicago), and Sanjiv Kapoor and Ioan Raicu (Illinois Institute of Technology)
  5. 05. GPU Approximation Acceleration For Scientific Applications. Ang Li and Shuaiwen Leon Song (Pacific Northwest National Laboratory)
  6. 06. Training Restricted Boltzmann Machines Using a Quantum Annealer. Vaibhaw Kumar, Gideon P. Bass, and Joseph S. Dulny (Booz Allen Hamilton)
  7. 07. Optimizing Turbomachinery CFD applications for Modern Multi-Core and Accelerator HPC Systems. Christopher P. Stone (Computational Science and Engineering LLC) and Daryl Y. Lee and Roger L. Davis (University of California, Davis)
  8. 08. Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs. Jiri Jaros and Filip Vaverka (Brno University of Technology) and Bradley E. Treeby (University College London)
  9. 09. Tsunami Run-Up and Inundation Simulations Using LexADV_EMPS Solver Framework on Fujitsu FX100. Masao Ogino (Nagoya University), Hongjie Zheng (Toyo University), Kohei Murotani and Seiichi Koshizuka (University of Tokyo), Ryuji Shioya (Toyo University), and Lijun Liu (Nagoya University)
  10. 10. Optimizing Application I/O by Leveraging the Storage Hierarchy Using the Scalable Checkpoint Restart Library with a Monte Carlo Particle Transport Application on the Trinity Advanced Computing System. Michael M. Pozulp, Gregory B. Becker, Patrick S. Brantley, Shawn A. Dawson, Kathryn Mohror, Adam T. Moody, and Matthew J. O'Brien (Lawrence Livermore National Laboratory)
  11. 100. Civet: A Framework for Reproducible Bioinformatics Analysis. Glen Beane and Al Simons (Jackson Laboratory)
  12. 101. Network-Optimized Distributed Memory Parallel Breadth-First Search. Praveen Sharma (University of Southern California)
  13. 102. Improved Global Weather Prediction with GFDL’s FV3 Dynamical Core. Shannon Rees (Engility Corporation)
  14. 103. Neuroscience Gateway – Understanding the Scaling Behavior of NEURON Application. Subhashini Sivagnanam and Amit Majumdar (San Diego Supercomputer Center)
  15. 104. MPI-GIS : High Performance Computing and I/O for Spatial Overlay and Join. Satish Puri (Marquette University)
  16. 105. A Scalable Approach for Topic Modeling with R. Tiffany A. Connors (Texas State University) and Ritu Arora (University of Texas at Austin)
  17. 106. Extreme Fidelity Computational Electromagnetic Analysis in the Supercomputer Era. Brian MacKie-Mason and Zhen Peng (University of New Mexico) and Christopher Kung (Engility Corporation)
  18. 107. Evaluating Best and Worst Case Scenarios on Two-Level Memory Systems. Ryan J. Huber (University of Minnesota) and Edgar A. Leon (Lawrence Livermore National Laboratory)
  19. 108. Designing Accelerators for Data Analytics: A Dynamically Scheduled Architecture. Marco Minutoli, Vito Giovanni Castellana, and Antonino Tumeo (Pacific Northwest National Laboratory) and Marco Lattuada and Fabrizio Ferrandi (Polytechnic University of Milan)
  20. 109. Concurrent Dynamic Memory Coalescing on GoblinCore-64 Architecture. Xi Wang, John Leidel, and Yong Chen (Texas Tech University)
  21. 11. GPU Acceleration of a Non-Hydrostatic Ocean Model with Lagrangian Particle Tracking. Takateru Yamagishi (Research Organization for Information Science and Technology) and Yoshimasa Matsumura (Hokkaido University)
  22. 110. A Comparative Power-Performance Analysis of Microarchitecture Effects on Heterogeneous CPU-GPU. Vijayalakshmi Saravanan and Sridhar Ramalingam (University at Buffalo)
  23. 111. A Comparison of x86 Computer Architecture Simulators. Ayaz Akram and Lina Sawalha (Western Michigan University)
  24. 112. Accelerated Particle-Grid Mapping. Ahmed Sanaullah (Boston University)
  25. 12. Performance of Popular HPC Applications on the Intel Knights Landing Platform. Antonio Gomez-Iglesias, Feng Chen, Lei Huang, Hang Liu, Si Liu, Antia Lamas-Linares, John Cazes, and Carlos Rosales (University of Texas at Austin)
  26. 13. Accelerating PETSc-Based CFD Codes with Multi-GPU Computing. Pi-Yueh Chuang and Lorena A. Barba (George Washington University)
  27. 14. Scaling a High Energy Laser Physics Application (VBL) Using MPI and the RAJA Portability Layer. Kathleen McCandless, Tom Epperly, Jean Michel Di Nicola, Katie Lewis, Gabriel Mennerat, Jarom Nelson, Rick Sacks, Samuel Schrauth, and Paul Wegner (Lawrence Livermore National Laboratory)
  28. 15. Laminar Unsteady Navier-Stokes Flow on Multicore Architectures. Bahareh Mostafazadeh Davani, Ferran Marti, Feng Liu, and Aparna Chandramowlishwaran (University of California, Irvine)
  29. 16. NEMO5, Xeon Phi, and hStreams: Physics of Ultrascaled 2D Nanotransistors. Xinchen Guo, Kuang-Chung Wang, James Charles, Junzhe Geng, Daniel Mejia, Daniel Valencia, Daniel Lemus, James E. Fonseca, Gerhard Klimeck, and Tillmann Kubis (Purdue University)
  30. 17. GPU Accelerated Surface Reconstruction for Particle-Based Fluids. Wei Wu and Hongping Li (Ocean University of China) and Tianyun Su and Haixing Liu (First Institute of Oceanography)
  31. 18. Experiences with a Burst Buffer at NERSC. Wahid Bhimji, Debbie Bard, David Paul, and Glenn Lockwood (Lawrence Berkeley National Laboratory)
  32. 19. Utilizing In-Memory Storage for MPI-IO. Julian Kunkel and Eugen Betke (German Climate Computing Center)
  33. 20. Simulating the Burst Buffer Storage Architecture on an IBM BlueGene/Q Supercomputer. Jian Peng and Ioan Raicu (Illinois Institute of Technology) and Michael Lang (Los Alamos National Laboratory)
  34. 21. In Situ Data Steering on Sedimentation Simulation with Provenance Data. Vítor Silva and José Camata (Federal University of Rio de Janeiro), Daniel de Oliveira (Fluminense Federal University), Alvaro L.G.A. Coutinho (Federal University of Rio de Janeiro), Patrick Valduriez (Inria), and Marta Mattoso (Federal University of Rio de Janeiro)
  35. 22. Optimizing Search in Un-Sharded Large-Scale Distributed Systems. Suraj Chafle (Illinois Institute of Technology), Jonathan Wu (Washington University in St. Louis), Kyle Chard (University of Chicago), and Ioan Raicu (Illinois Institute of Technology)
  36. 23. Large Histogram Computation for Normalized Mutual Information on GPU. Sophie Voisin, Devin A. White, and Jeremy S. Archuleta (Oak Ridge National Laboratory)
  37. 24. HPC Enabled Data Analytics for High-Throughput High-Content Cellular Analysis. Ross A. Smith, Rhonda J. Vickery, and Jack Harris (Engility Corporation) and Thomas Wischgoll (Wright State University)
  38. 25. Big Data Helps Particle Physicists to Concentrate on Science. Saba Sehrish, Jim Kowalkowski, Oliver Gutsche, Matteo Cremonesi, Bo Jayatilaka, and Cristina Mantilla (Fermi National Laboratory) and Jim Pivarski and Alexy Svyatkovskiy (Princeton University)
  39. 26. A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems. Neda Tavakoli and Dong Dai (Texas Tech University); John Jenkins, Philip Carns, and Robert Ross (Argonne National Laboratory); and Yong Chen (Texas Tech University)
  40. 27. Node-Local I/O on Aurora – CPPR. Christopher Holguin, Kalyana Chadalavada, Jeffrey Olivier, and John Carrier (Intel Corporation)
  41. 28. A Scalable Evolutionary Algorithm with Intensification and Diversification Protocols Designed for Statistical Models. Wendy K. Cho and Yan Y. Liu (University of Illinois)
  42. 29. GPU Accelerated Graph Analytics Using Abstract Sparse Linear Algebra. Stephen T. Kozacik, Aaron L. Paolini, Paul Fox, James L. Bonnett, Evenie M. Chao, and Eric Kelmelis (EM Photonics Inc) and Dennis W. Prather (University of Delaware)
  43. 30. Accelerating DMFT-MatDeLab GW Calculation with GPU. Zhihua Dong, Kwangmin Yu, Sangkook Choi, and Nicholas D'Imperio (Brookhaven National Laboratory)
  44. 31. Cache-Oblivious Wavefront Algorithms for Dynamic Programming Problems: Efficient Scheduling with Optimal Cache Performance and High Parallelism. Jesmin Jahan Tithi, Pramod Ganapathi, and Rezaul Chowdhury (Stony Brook University) and Yuan Tang (Fudan University)
  45. 32. Domain Decomposition Techniques for Contour Integration Eigenvalue Solvers. Vassilis Kalantzis and Yousef Saad (University of Minnesota) and James Kestyn and Eric Polizzi (University of Massachusetts)
  46. 33. Massively Parallel Simulation of Plasma Turbulence with the Sparse Grid Combination Technique. Mario Heene (University of Stuttgart), Alfredo Parra Hinjosa (Technical University Munich), and Dirk Pflüger (University of Stuttgart)
  47. 34. Sparse Grid Algorithms to Recover from Hard and Soft Faults. Alfredo Parra Hinojosa and Hans-Joachim Bungartz (Technical University Munich) and Mario Heene and Dirk Pflüger (University of Stuttgart)
  48. 35. High-Performance Tensor Contraction without BLAS. Devin A. Matthews (University of Texas at Austin)
  49. 36. Minimizing Communication for Tensor Decompositions. Travis Bartley, Mona Elkoussy, Anima Anandkumar, and Aparna Chandramowlishwaran (University of California, Irvine)
  50. 37. Enabling K-Nearest Neighbor Algorithm Using a Heterogeneous Streaming Library: hStreams. Jesmin Jahan Tithi (Intel Corporation)
  51. 38. Parallelized Dimensional Decomposition for Dynamic Stochastic Economic Models. Aryan Eftekhari and Olaf Schenk (University of Lugano) and Simon Scheidegger (University of Zurich)
  52. 39. Devito: Fast Finite Difference Computation. Marcos de Aguiar (SENAI CIMATEC), Gerard Gorman (Imperial College London), Navjot Kukreja (SENAI CIMATEC), Michael Lange (Imperial College London), Mathias Louboutin (University of British Columbia), and Felippe Zacarias (SENAI CIMATEC)
  53. 40. STView: An Eclipse Plug-in Tool for Visualizing Program Structures in Fortran Source Codes. Tomomi Ohichi (Kobe University), Masaaki Terai (RIKEN), Mitsuo Yokokawa (Kobe University), and Kazuo Minami (RIKEN)
  54. 41. Making a Legacy Code Auto-Tunable Without Messing It Up. Hiroyuki Takizawa, Daichi Sato, Shoichi Hirasawa, and Hiroaki Kobayashi (Tohoku University)
  55. 42. Hobbes Node Virtualization Layer: System Software Infrastructure for Application Composition and Performance Isolation. Noah Evans (Sandia National Laboratories); Brian Kocoloski and John R. Lange (University of Pittsburgh); Kevin Pedretti, Shyamali Mukherjee, and Ron Brightwell (Sandia National Laboratories); and Patrick G. Bridges (University of New Mexico)
  56. 43. MuMMI_R: Analyzing and Modeling Power and Time Under Different Resilience Strategies. Xingfu Wu and Valerie Taylor (Texas A&M University) and Zhiling Lan (Illinois Institute of Technology)
  57. 44. Modeling and Simulation of Tape Libraries for Hierarchical Storage Systems. Jakob Luettgau and Julian Kunkel (German Climate Computing Center)
  58. 45. Performance Engineering FUN3D at Scale with TAU Commander. John Linford (Paratools); Srinath Vadlamani, Sameer Shende, and Allen Malony (ParaTools); and William Jones, William Kyle Anderson, and Eric Nielsen (NASA)
  59. 46. Advancing Parabolic Operators in Thermodynamic MHD models: Explicit Super Time-Stepping Versus Implicit Schemes with Krylov Solvers. Ronald Caplan, Zoran Mikic, Jon Linker, and Roberto Lionello (Predictive Science Inc)
  60. 47. GPU-STREAM: Now in 2D!. Tom Deakin, James Price, Matt Martineau, and Simon McIntosh-Smith (University of Bristol)
  61. 48. Lightweight, Reusable Models for Dynamically Tuning Data-Dependent Code. David A. Beckingsale, Olga Pearce, and Todd Gamblin (Lawrence Livermore National Laboratory)
  62. 49. Simulating Batch and Application Level Scheduling Using GridSim and SimGrid. Ahmed Eleliemy, Ali Mohammed, and Florina M. Ciorba (University of Basel, Switzerland)
  63. 50. DeepROAD: A Multifaceted Deep Learning Suite for Real-Time Optimized Autonomous Driving. Edwin L. Weill, Jesse Tetreault, Varun Praveen, and Melissa Smith (Clemson University)
  64. 51. Open XDMoD Job Viewer: A Tool to Monitor Job Performance. Joseph P. White, Ryan Rathsam, Cynthia D. Cornelius, Robert L. DeLeon, Thomas R. Furlani, Steven M. Gallo, Matthew D. Jones, Abani K. Patra, Jeanette M. Sperhac, Thomas Yearke, Jeffrey T. Palmer, Nikolay Simakov, Martins Innus, and Benjamin D. Plessinger (University at Buffalo)
  65. 52. Cerberus: A 3-Phase Burst Buffer Aware Batch Scheduler for HPC Systems. Jiaqi Yan, Xu Yang, Dong Jin, and Zhiling Lan (Illinois Institute of Technology)
  66. 53. Turning Privacy Constraints into Syslog Analysis Advantage. Siavash Ghiasvand (Technical University Dresden); Florina M. Ciorba (University of Basel, Switzerland); and Wolfgang E. Nagel (Technical University Dresden)
  67. 54. Accessing GPUs from Containers in HPC. Lucas Benedicic and Miguel Gila (Swiss National Supercomputing Center)
  68. 55. The High Performance Open Community Runtime: Explorations on Asynchronous Many Task Runtime Systems. Joshua Landwehr (Pacific Northwest National Laboratory); Joshua Suetterlein (University of Delaware); Andres Marquez, Joseph Manzano, and Kevin Barker (Pacific Northwest National Laboratory); and Guang Gao (University of Delaware)
  69. 56. Software-Level Fault Tolerant Framework for Task-Based Applications. Joy Yeh, Grzegorz Pawelczak, James Sewart, and James Price (University of Bristol); Ferad Zyulkyarov, Leonardo Bautista-Gomez, and Osman Unsal (Barcelona Supercomputing Center); and Simon McIntosh-Smith and Amaurys Avila Ibarra (University of Bristol)
  70. 57. Power-Aware Heterogeneous Computing Through CPU-GPU Hybridization. Kyle Siehl and Xinghui Zhao (Washington State University Vancouver)
  71. 58. Pin-Pointing Node Failures in HPC Systems. Anwesha Das and Frank Mueller (North Carolina State University) and Paul Hargrove and Eric Roman (Lawrence Berkeley National Laboratory)
  72. 59. Data-Driven Workflows on Crays with Hybrid Scheduling: A Case Study of Celera on Magnus. Charlene Yang (Pawsey Supercomputing Center) and Seyhan Yazar, George Gooden, and Alex Hewitt (University of Western Australia)
  73. 60. Modernizing a Long-Lived Production Physics Code. Charles Ferenbaugh, Sriram Swaminarayan, Chuck Aldrich, Matthew Calef, Joann Campbell, Marcus Daniels, Michael Hall, Scot Halverson, Thomas Masser, Michael McKay, Zachary Medin, Ralph Menikoff, David Nicholaeff, Robert Robey, Gabriel Rockefeller, and Jeremy Sauer (Los Alamos National Laboratory) and John Wohlbier (CI Software Associates)
  74. 61. A Tool for Semi-Automatic Application-Level Checkpointing. Trung Nguyen Ba and Ritu Arora (University of Texas at Austin)
  75. 62. LIKWID 4: Lightweight Performance Tools. Jan Eitzinger, Thomas Roehl, Georg Hager, and Gerhard Wellein (University of Erlangen-Nuremberg)
  76. 63. Complexity and Accuracy Tradeoff Analysis of Parallel Application Simulation Using SST/Macro. Zhou Tong (Florida State University)
  77. 64. On the Path to the Holy Grail: Predicting Onset of System Failure with Log Files. Robert E. Settlage, Michael B. Marshall, Karthik R. Senthilvel, Vijay K. Agarwala, and Joshua D. Akers (Virginia Polytechnic Institute and State University) and Rajiv D. Bendale and Kimberly Robertson (Engility Corporation)
  78. 65. Understanding Ineffectiveness of the Application-Level Fault Injection. Luanzheng Guo, Jing Liang, and Dong Li (University of California, Merced)
  79. 66. Reducing Communication Costs in the Parallel SpMV. Amanda J. Bienz and Luke Olson (University of Illinois)
  80. 67. Parallel Performance-Energy Predictive Modeling of Browsers: Case Study of Servo. Rohit Zambre (University of California, Irvine); Lars Bergstrom (Mozilla); and Laleh Beni and Aparna Chandramowlishwaran (University of California, Irvine)
  81. 68. DynoGraph: Benchmarking Dynamic Graph Analytics. Eric Hein and Tom Conte (Georgia Institute of Technology)
  82. 69. Black-Box Kernel-Level Performance Modeling For GPUs. James D. Stevens and Andreas Klöckner (University of Illinois)
  83. 70. Demonstrating the Impact of OpenMP Overheads in Multi-Physics Using a Mini App. Dylan McKinney, Ian Karlin, and Riyaz Haque (Lawrence Livermore National Laboratory)
  84. 71. DSL and Autotuning Tools for Code Optimization on HPC Inspired by Navigation Use Case. Jan Martinovic, Katerina Slaninova, and Martin Golasowski (Technical University of Ostrava); Radim Cmar (Sygic); Joao M. P. Cardoso and Joao Bispo (University of Porto); and Gianluca Palermo, Davide Gadioli, and Cristina Silvano (Polytechnic University of Milan)
  85. 72. Multi-GPU Graph Analytics. Yuechao Pan, Yangzihao Wang, Yuduo Wu, Carl Yang, and John D. Owens (University of California, Davis)
  86. 73. Tapas: An Implicitly Parallel Programming Framework For Hierarchical N-Body Algorithms. Keisuke Fukuda (Tokyo Institute of Technology), Motohiko Matsuda and Naoya Maruyama (RIKEN), Rio Yokota (Tokyo Institute of Technology), Kenjiro Taura (University of Tokyo), and Satoshi Matsuoka (Tokyo Institute of Technology)
  87. 74. Meta-Balancer: Automating Load Balancing Decisions. Harshitha Menon, Kavitha Chandrasekar, and Laxmikant Kale (University of Illinois)
  88. 75. Toward Portable Machine Learning Kernels for Deep Neural Networks with Autotuning on Top of OpenCL and High Bandwidth Memory GPUs. Yaohung Tsai, Piotr Luszczek, Jakub Kurzak, and Jack Dongarra (University of Tennessee)
  89. 76. Acceleration of the Boundary Element Library BEM4I on the Knights Corner and Knights Landing Architectures. Michal Merta and Jan Zapletal (Technical University of Ostrava)
  90. 77. Fast Sparse General Matrix-Matrix Multiplication on GPU with Low Memory Usage. Yusuke Nagasaka, Akira Nukada, and Satoshi Matsuoka (Tokyo Institute of Technology)
  91. 78. A Task-Based Directed Acyclic Graph Implementation of Additive AMG. Amani Alonazi, George Markomanolis, and David Keyes (King Abdullah University of Science and Technology)
  92. 79. Parallel FETI Solver for Modern Architectures. Lubomir Riha, Tomas Brzobohaty, Michal Merta, Alexandros Markopoulos, Ondrej Meca, and Tomas Kozubek (Technical University of Ostrava)
  93. 80. symPACK: a Solver for Sparse Symmetric Matrices. Mathias Jacquelin (Lawrence Berkeley National Laboratory), Yili Zheng (Google), and Esmond Ng and Katherine Yelick (Lawrence Berkeley National Laboratory)
  94. 81. Exploring Performance of Domain Decomposition Strategies for Monte Carlo Radiation Transport. Platon Karpov (University of California, Santa Cruz); David Huff (New Mexico Institute of Mining and Technology); Xinyu Chen (University of New Mexico); and Ryan Wollaeger, Gabriel Rockefeller, and Brendan Krueger (Los Alamos National Laboratory)
  95. 82. Distributed Graph-Based Clustering for Network Intrusion Detection. Corbin A. McNeill (Wheaton College); Enyue Lu (Salisbury University); and Matthias Gobbert (University of Maryland, Baltimore County)
  96. 83. A Novel Variable-Blocking Representation for Efficient Sparse Matrix-Vector Multiply on GPUs. Tuowen Zhao, Tharindu Rusira, Khalid Ahmad, and Mary Hall (University of Utah)
  97. 84. Energy and Communication Efficient Partitioning for Large-Scale Finite Element Computations. Milinda Fernando (University of Utah); Dmitry Duplyakin (University of Colorado, Boulder); and Hari Sundar (University of Utah)
  98. 85. Identifying Malicious Entities through Massive Graph Analysis of DNS Resolution Patterns. Trevor J. Goodyear, Evan B. Stuart, Michael S. Fields, Eric R. Hein, and Mark Wisneski (Georgia Institute of Technology)
  99. 86. STRUMPACK: Scalable Preconditioning Using Low-Rank Approximations and Random Sampling. Pieter Ghysels and Xiaoye S. Li (Lawrence Berkeley National Laboratory); Christopher Gorman (University of California, Santa Barbara); and Francois-Henry Rouet (Lawrence Berkeley National Laboratory)
  100. 87. A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge. Dong Dai (Texas Tech University), Robert Ross (Argonne National Laboratory), Dounia Khaldi (Stony Brook University), Yonghong Yan (Oakland University), Dorier Matthieu (Argonne National Laboratory), and Neda Tavakoli and Yong Chen (Texas Tech University)
  101. 88. Attributed Consistent Hashing for Heterogeneous Storage Systems. Jiang Zhou, Wei Xie, and Yong Chen (Texas Tech University)
  102. 89. Interactive and Offline Rendering in Blender Cycles Using MPI and Intel Xeon Phi Offload. Milan Jaros and Lubomir Riha (Technical University of Ostrava)
  103. 90. Fault-Tolerant Scheduler for Shareable Virtualized GPU Resource. Daeyoun Kang, Tae Joon Jun, and Daeyoung Kim (Korea Advanced Institute of Science and Technology)
  104. 91. Lazer: A Memory-Efficient Framework for Large-Scale Genome Assembly. Sayan Goswami, Arghya Kusum Das, Richard Platania, Kisung Lee, and Seung-Jong Park (Louisiana State University)
  105. 92. An I/O Load Balancing Framework for Large-Scale Applications (IO 2.0). Sarah M. Neuwirth (University of Heidelberg), Feiyi Wang and Sarp Oral (Oak Ridge National Laboratory), and Ulrich Bruening (University of Heidelberg)
  106. 93. Prototype Implementation of Simulation Caching Framework for Multi-User Interaction. Jiachao Zhang, Yu Yamamoto, Shinji Fukuma, and Shin-ichiro Mori (University of Fukui)
  107. 94. Toward Understanding HPC- Big Data Convergence Using Cloud Platforms. Shweta Salaria, Kevin Brown, Hideyuki Jitsumoto, and Satoshi Matsuoka (Tokyo Institute of Technology)
  108. 95. Marrying HPC and Cloud for Long Term Happiness. Apoorve Mohan and Ravi S. Gudimetla (Northeastern University); Ata Turk (Boston University); Sourabh Bollapragada and Rajul Kumar (Northeastern University); Jason Hennessey, Evan Weinberg, and Dimitri Makrigiorgos (Boston University); Christopher N. Hill (Massachusetts Institute of Technology); Gene Cooperman and Peter Desnoyers (Northeastern University); and Richard Brower and Orran Krieger (Boston University)
  109. 97. Developing A Scalable Platform For Next-Generation Sequencing Data Analytics Over Heterogeneos Clouds and HPCs : A Case for Transcriptomes and Metagenomes. Shayan Shams and Nayong Kim (Louisiana State University); Ming-Tai Ha and Shantenu Jha (Rutgers University); and Jian Tao, Ramesh Subramanian, Vladmir Chouljenko, K. Gus Kousoulas, Ram J. Ramanujam, Seung-Jong ParK, and Joohyun Kim (Louisiana State University)
  110. 98. First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD. Valery Weber, A. Cristiano I. Malossi, Ivano Tavernelli, Teodoro Laino, Costas Bekas, Manish Modani, Nina Wilner, Tom Heller, and Alessandro Curioni (IBM)
  111. 99. A Fast Implicit Solver with Low Memory Footprint and High Scalability for Comprehensive Earthquake Simulation System. Kohei Fujita (RIKEN), Tsuyoshi Ichimura (University of Tokyo), Kentaro Koyama (Fujitsu Ltd), Masashi Horikoshi (Intel Corporation), Hikaru Inoue (Fujitsu Ltd), Larry Meadows (Intel Corporation), Seizo Tanaka (University of Tsukuba), Muneo Hori and Lalith Maddegeddara (University of Tokyo), and Takane Hori (Japan Agency for Marine-Earth Science and Technology)


SC16 Archive