SC15 Austin, TX

Technical Program Posters

  1. Accelerating the B-Spline Evaluation in Quantum Monte Carlo. Ye Luo, Anouar Benali, and Vitali Morozov (Argonne National Laboratory)
  2. Accelerating Tridiagonal Matrix Inversion on the GPU. Bemnet Demere, Peter Yoon, and Ebenezer Hormenou (Trinity College)
  3. Accurate and Efficient QM/MM Molecular Dynamics on 86,016 Cores of SuperMUC Phase 2. Magnus Schwörer and Konstantin Lorenzen (Ludwig Maximilian University of Munich); Momme Allalen, Ferdinand Jamitzky, and Helmut Satzger (Leibniz Supercomputing Center); and Gerald Mathias (Ludwig Maximilian University of Munich)
  4. Adapting Genome-Wide Association Workflows for HPC Processing at Pawsey. Jindan (Charlene) Yang and Christopher Harris (Pawsey Supercomputing Center) and Sylvia Young and Grant Morahan (The University of Western Australia)
  5. Advanced Tiling Techniques for Memory-Starved Streaming Numerical Kernels. Tareq Malas (King Abdullah University of Science & Technology), Georg Hager (Erlangen Regional Computing Center), and Hatem Ltaief and David Keyes (King Abdullah University of Science & Technology)
  6. Analysis of Node Failures in High Performance Computers Based on System Logs. Siavash Ghiasvand (Technical University of Dresden), Florina M. Ciorba (University of Basel), and Ronny tschueter and Wolfgang E. Nagel (Technical University of Dresden)
  7. Analyzing the Performance of a Sparse Matrix Vector Multiply for Extreme Scale Computers. Amanda Bienz, Jon Calhoun, Luke Olson, Marc Snir, and William D. Gropp (University of Illinois at Urbana-Champaign)
  8. An Approach to the Highest Efficiency of the HPCG Benchmark on the SX-ACE Supercomputer. Kazuhiko Komatsu and Ryusuke Egawa (Tohoku University), Yoko Isobe and Ryusei Ogata (NEC Corporation), and Hiroyuki Takizawa and Hiroaki Kobayashi (Tohoku University)
  9. Argo: An Exascale Operating System and Runtime. Swann Perarnau, Rinku Gupta, and Pete Beckman (Argonne National Laboratory)
  10. Automating Sparse Linear Solver Selection with Lighthouse. Kanika Sood (University of Oregon), Pate Motter and Elizabeth Jessup (University of Colorado Boulder), and Boyana Norris (University of Oregon)
  11. Beating cuBLAS: Automatically Generating Bespoke Matrix Multiplication Kernels Using GiMMiK. Freddie D. Witherden, Bartosz D. Wozniak, Francis P. Russell, Peter E. Vincent, and Paul H. J. Kelly (Imperial College London)
  12. Bellerophon: A Computational Workflow Environment for Real-time Analysis, Artifact Management, and Regression Testing of Core-Collapse Supernova Simulations. Eric Lingerfelt and Bronson Messer (Oak Ridge National Laboratory)
  13. Benchmark Simulation and Experimental Testbed Studies of AWGR-Based, Multi-Layer Photonic Interconnects for Low- Latency, Energy-Efficient Computing Architectures. Paolo Grani, Roberto Proietti, Zheng Cao, and S. J. Ben Yoo (University of California, Davis)
  14. Benchmarking High Performance Graph Analysis Systems with Graph Mining and Pattern Matching Workloads. Seokyong Hong (North Carolina State University); Seung-Hwan Lim, Sangkeun Lee, and Sreenivas R. Sukumar (Oak Ridge National Laboratory); and Ranga R. Vatsavai (North Carolina State University)
  15. BLAST Motivated Small Dense Linear Algebra Library Comparison. Pate Motter (University of Colorado Boulder) and Ian Karlin and Christopher Earl (Lawrence Livermore National Laboratory)
  16. BurstFS: A Distributed Burst Buffer File System for Scientific Applications. Teng Wang (Florida State University), Kathryn Mohror and Adam Moody (Lawrence Livermore National Laboratory), Weikuan Yu (Florida State University), and Kento Sato (Lawrence Livermore National Laboratory)
  17. C++ Abstraction Layers – Performance, Portability and Productivity. Dennis C. Dinge, Simon D. Hammond, Christian R. Trott, and Harold C. Edwards (Sandia National Laboratories)
  18. Caliper: Composite Performance Data Collection in HPC Codes. David Boehme, Todd Gamblin, Peer-Timo Bremer, Olga T. Pearce, and Martin Schulz (Lawrence Livermore National Laboratory)
  19. Characterizing Memory Throttling Using Processor and Memory Performance. Bo Li (Virginia Polytechnic Institute and State University), Edgar A. Leon (Lawrence Livermore National Laboratory), and Kirk W. Cameron (Virginia Polytechnic Institute and State University)
  20. A Coding Based Optimization for Hadoop. Zakia Asad (University of Toronto), Mohammad Asad Rehman Chaudhry (soptimizer), and David Malone (The Hamilton Institute)
  21. Comparison of Machine-Learning Techniques for Handling Multicollinearity in Big Data Analytics and High-Performance Data Mining. Gerard Dumancas (Oklahoma Baptist University) and Ghalib Bello (Virginia Commonwealth University)
  22. Comparison of Virtualization and Containerization Techniques for High-Performance Computing. Yuyu Zhou (University of Pittsburgh), Balaji Subramaniam and Kate Keahey (Argonne National Laboratory), and John Lange (University of Pittsburgh)
  23. Consistent Hashing Distance Metrics for Large-Scale Object Storage. Philip Carns, Kevin Harms, John Jenkins, Misbah Mubarak, and Robert B. Ross (Argonne National Laboratory) and Christopher Carothers (Rensselaer Polytechnic Institute)
  24. Cost Effective Programmable H/W Based Data Plane Acceleration: Linking PCI-Express Commodity I/O H/W with FPGAs. Woong Shin and Heon Y. Yeom (Seoul National University)
  25. A Deadlock Detection Concept for OpenMP Tasks and Fully Hybrid MPI-OpenMP Applications. Tobias Hilbrich (Dresden University of Technology), Bronis R. de Supinski (Lawrence Livermore National Laboratory), Andreas Knuepfer and Robert Dietrich (Dresden University of Technology), Christian Terboven and Felix Muenchhalfen (RWTH Aachen University), and Wolfgang E. Nagel (Dresden University of Technology)
  26. Design and Modelling of Cloud-Based Burst Buffers. Tianqi Xu (Tokyo Institute of Technology), Kento Sato (Lawrence Livermore National Laboratory), and Satoshi Matsuoka (Tokyo Institute of Technology)
  27. Design of a NVRAM Specialized Degree Aware Dynamic Graph Data Structure. Keita Iwabuchi (Tokyo Institute of Technology); Roger A. Pearce, Brian Van Essen, and Maya Gokhale (Lawrence Livermore National Laboratory); and Satoshi Matsuoka (Tokyo Institute of Technology)
  28. Development of Explicit Moving Particle Simulation Framework and Zoom-Up Tsunami Analysis System. Kohei Murotani and Seiichi Koshizuka (University of Tokyo), Masao Ogino (Nagoya University), and Ryuji Shioya (Toyo University)
  29. Directive-Based Pipelining Extension for OpenMP. Xuewen Cui (Virginia Polytechnic Institute and State University), Thomas R. W. Scogland and Bronis R. de Supinski (Lawrence Livermore National Laboratory), and Wu-chun Feng (Virginia Polytechnic Institute and State University)
  30. Dynamic Adaptively Refined Mesh Simulations on 1M+ Cores. Brian T. N. Gunney (Lawrence Livermore National Laboratory)
  31. Efficient GPU Techniques for Processing Temporally Correlated Satellite Image Data. Tahsin A. Reza (University of British Columbia), Dipayan Mukherjee (Indian Institute of Technology Kharagpur), and Tanuj Kr Aasawat and Matei Ripeanu (University of British Columbia)
  32. Efficient Large-Scale Sparse Eigenvalue Computations on Heterogeneous Hardware. Moritz Kreutzer (Friedrich-Alexander University Erlangen-Nürnberg); Andreas Pieper, Andreas Alvermann, and Holger Fehske (Ernst Moritz Arndt University of Greifswald); Georg Hager and Gerhard Wellein (Friedrich-Alexander University Erlangen-Nürnberg); and Alan R. Bishop (Los Alamos National Laboratory)
  33. Emulating In-Memory Data Rearrangement for HPC Applications. Christopher W. Hajas (University of Florida) and G. Scott Lloyd and Maya B. Gokhale (Lawrence Livermore National Laboratory)
  34. Energy-Efficient Graph Traversal on Integrated CPU-GPU Architecture. Heng Lin, Jidong Zhai, and Wenguang Chen (Tsinghua University)
  35. Evaluating DVFS and Concurrency Throttling on IBM's Power8 Architecture. Wei Wang (University of Delaware) and Edgar A. Leon (Lawrence Livermore National Laboratory)
  36. Exploiting Domain Knowledge to Optimize Mesh Partitioning for Multi-Scale Methods. Muhammad Hasan Jamal, Milind Kulkarni, and Arun Prakash (Purdue University)
  37. Exploring Asynchronous Many-Task Runtime Systems Toward Extreme Scales. Samuel Knight (Florida Institue of Technology); Marc Gamell (Rutgers University); Gavin Baker (California Polytechnic State Univeristy); and David Hollman, Gregory Sjaadema, Hemanth Kolla, Keita Teranishi, Jeremiah Wilke, Nicole Slattengren, and Janine C. Bennett (Sandia National Laboratories)
  38. Fast Classification of MPI Applications Using Lamport's Logical Clocks. Zhou Tong (Florida State University)
  39. FPGA Based OpenCL Acceleration of Genome Sequencing Software. Ashish Sirasao, Elliott Delaye, Ravi Sunkavalli, and Stephen Neuendorffer (Xilinx Inc.)
  40. Geometric-Aware Partitioning on Large-Scale Data for Parallel Quad Meshing. Wuyi Yu, Qin Chen, Jian Tao, and Xin Li (Louisiana State University)
  41. GLOVE: An Interactive Visualization Service Framework with Multi-Dimensional Indexing on the GPU. Jinwoong Kim (Ulsan National Institute of Science and Technology), Sehoon Lee and Joong-Youn Lee (Korea Institute of Science and Technology Information), Beomseok Nam (Ulsan National Institute of Science and Technology), and Min Ah Kim (Korea Institute of Science and Technology Information)
  42. GPU Acceleration of a Non-Hydrostatic Ocean Model Using a Mixed Precision Multigrid Preconditioned Conjugate Gradient Method. Takateru Yamagishi (Research Organization for Information Science and Technology) and Yoshimasa Matsumura (Hokkaido University)
  43. GPU-Accelerated VLSI Routing Using Group Steiner Trees. Basileal Imana, Venkata Suhas Maringanti, and Peter Yoon (Trinity College)
  44. GPU-STREAM: Benchmarking the Achievable Memory Bandwidth of Graphics Processing Units. Tom Deakin and Simon McIntosh-Smith (University of Bristol)
  45. Heuristic Dynamic Load Balancing Algorithm Applied to the Fragment Molecular Orbital Method. Yuri Alexeev and Prasanna Balaprakash (Argonne National Laboratory)
  46. High Level Synthesis of SPARQL Queries. Marco Minutoli, Vito Giovanni Castellana, and Antonino Tumeo (Pacific Northwest National Laboratory)
  47. High Performance Data Structures for Multicore Environments. Giuliano Laccetti and Marco Lapegna (University of Naples Federico II)
  48. A High-Performance Approach for Solution Space Traversal in Combinatorial Optimization. Wendy K. Tam Cho and Yan Y. Liu (University of Illinois at Urbana-Champaign)
  49. HPC Enabled Real-Time Remote Processing of Laparoscopic Surgery. Karan Sapra, Zahra Ronaghi, Ryan Izard, Edward Duffy, Melissa C. Smith, Kuang-Ching Wang, and David M. Kwartowitz (Clemson University)
  50. HPX Applications and Performance Adaptation. Alice Koniges (Lawrence Berkeley National Laboratory), Jayashree Ajay Candadai (Indiana University), Hartmut Kaiser (Louisiana State University), Kevin Huck (University of Oregon), Jeremy Kemp (University of Houston), Thomas Heller (Friedrich-Alexander University Erlangen-Nürnberg), Matthew Anderson and Andrew Lumsdaine (Indiana University), Adrian Serio (Louisiana State University), Michael Wolf (Sandia National Laboratories), Bryce Lelbach (Lawrence Berkeley National Laboratory), Ron Brightwell (Sandia National Laboratories), and Thomas Sterling (Indiana University)
  51. Improving Throughput by Dynamically Adapting Concurrency of Data Transfer. Prasanna Balaprakash, Vitali Morozov, and Rajkumar Kettimuthu (Argonne National Laboratory)
  52. Increasing Fabric Utilization with Job-Aware Routing. Jens Domke (Dresden University of Technology)
  53. Integrated Co-Design of Future Exascale Software. Bjoern Gmeiner (University Erlangen-Nuremberg), Markus Huber and Lorenz John (Technical University of Munich), Ulrich Ruede (University Erlangen-Nuremberg), Christian Waluga and Barbara Wohlmuth (Technical University of Munich), and Holger Stengel and Martin Bauer (University Erlangen-Nuremberg)
  54. Inverse Modeling Nanostructures from X-Ray Scattering Data through Massive Parallelism. Abhinav Sarje, Dinesh Kumar, Singanallur Venkatakrishnan, Slim Chourou, Xiaoye S. Li, and Alexander Hexemer (Lawrence Berkeley National Laboratory)
  55. Investigating Prefetch Potential on the Xeon Phi with Autotuning. Saami Rahman, Ziliang Zong, and Apan Qasem (Texas State University)
  56. Large Scale Artificial Neural Network Training Using MultiGPUs. Linnan Wang (Georgia Institute of Technology); Wei Wu (University of Tennessee, Knoxville); Alex Zhang (Rutgers University New Brunswick); Jianxiong Xiao (Princeton University); and Yi Yang (NEC Laboratories America)
  57. Large-Scale and Massively Parallel Phase-Field Simulations of Pattern Formation in Ternary Eutectic Alloys. Johannes Hötzer (Karlsruhe University of Applied Sciences); Martin Bauer (FAU Erlangen Nuremberg); Marcus Jainta, Philipp Steinmetz, and Marco Berghoff (Karlsruhe Institute of Technology); Florian Schornbaum, Christian Godenschwager, Harald Köstler, and Ulrich Rüde (FAU Erlangen Nuremberg); and Britta Nestler (Karlsruhe Institute of Technology)
  58. Large-Scale MO Calculation with GPU-accelerated FMO Program. Hiroaki Umeda (University of Tsukuba); Toshihiro Hanawa (University of Tokyo); and Mitsuo Shoji, Taisuke Boku, and Yasuteru Shigeta (University of Tsukuba)
  59. Large-Scale Ultrasound Simulations with Local Fourier Basis Decomposition. Jiri Jaros and Matej Dohnal (Brno University of Technology) and Bradley E. Treeby (University College London)
  60. libSkylark: A Framework for High-Performance Matrix Sketching for Statistical Computing. Georgios Kollias, Yves Ineichen, and Haim Avron (IBM Corporation); Vikas Sindhwani (Google); and Ken Clarkson, Costas Bekas, and Alessandro Curioni (IBM Corporation)
  61. LIBXSMM: A High Performance Library for Small Matrix Multiplications. Alexander Heinecke, Hans Pabst, and Greg Henry (Intel Corporation)
  62. Matrices Over Runtime Systems @ Exascale. Emmanuel Agullo and Olivier Aumage (French Institute for Research in Computer Science and Automation); George Bosilca (University of Tennessee, Knoxville); Bérenger Bramas (French Institute for Research in Computer Science and Automation); Alfredo Buttari (French National Center for Scientific Research and Toulouse Institute of Computer Science Research); Olivier Coulaud (French Institute for Research in Computer Science and Automation); Eric Darve (Stanford University); Jack Dongarra (University of Tennessee, Knoxville); Mathieu Faverge (French Institute for Research in Computer Science and Automation); Nathalie Furmento (French National Center for Scientific Research and Toulouse Institute of Computer Science Research); Luc Giraud (French Institute for Research in Computer Science and Automation); Abdou Guermouche (University of Bordeaux and French Institute for Research in Computer Science and Automation); Julien Langou (University of Colorado Denver); Florent Lopez (French National Center for Scientific Research and Toulouse Institute of Computer Science Research); Hatem Ltaief (King Abdullah University of Science & Technology); Samuel Pitoiset, Florent Pruvost, and Marc Sergent (French Institute for Research in Computer Science and Automation); Samuel Thibault (University of Bordeaux and French Institute for Research in Computer Science and Automation); and Stanimire Tomov (University of Tennessee, Knoxville)
  63. Memory Hotplug for Energy Savings of HPC systems. Shinobu Miwa and Hiroki Honda (University of Electro-Communications)
  64. MINIO: An I/O Benchmark for Investigating High Level Parallel Libraries. James Dickson (University of Warwick), Satheesh Maheswaran (Atomic Weapons Establishment), Steven Wright (University of Warwick), Andy Herdman (Atomic Weapons Establishment), and Stephen Jarvis (University of Warwick)
  65. Mitos: A Simple Interface for Complex Hardware Sampling and Attribution. Alfredo Gimenez (University of California, Davis) and Benafsh Husain, David Boehme, Todd Gamblin, and Martin Schulz (Lawrence Livermore National Laboratory)
  66. MLTUNE: A Tool-Chain for Automating the Workflow of Machine-Learning Based Performance Tuning. Biplab Kumar Saha, Saami Rahman, and Apan Qasem (Texas State University)
  67. Molecular Electrostatic Potential Evaluation with the Fragment Molecular Orbital Method. Yuri Alexeev (Argonne National Laboratory) and Dmitri Fedorov (National Institute of Advanced Industrial Science and Technology)
  68. mrCUDA: Low-Overhead Middleware for Transparently Migrating CUDA Execution from Remote to Local GPUs. Pak Markthub, Akihiro Nomura, and Satoshi Matsuoka (Tokyo Institute of Technology)
  69. Multi-GPU Graph Analytics. Yuechao Pan, Yangzihao Wang, Yuduo Wu, Carl Yang, and John D. Owens (University of California, Davis)
  70. Multi-Level Blocking Optimization for Fast Sparse Matrix Vector Multiplication on GPUs. Yusuke Nagasaka, Akira Nukada, and Satoshi Matsuoka (Tokyo Institute of Technology)
  71. Network-Attached Accelerators: Host-Independent Accelerators for Future HPC Systems. Sarah Marie Neuwirth, Dirk Frey, and Ulrich Bruening (University of Heidelberg)
  72. Neuroscience Gateway - Enabling HPC for Computational Neuroscience. Subhashini Sivagnanam and Amitava Majumdar (San Diego Supercomputer Center), Pramod Kumbhar (Swiss Federal Institute of Technology in Lausanne), Michael Hines (Yale University), Kenneth Yoshimoto (San Diego Supercomputer Center), and Ted Carnevale (Yale University)
  73. Numerical Tools for Multiscale Wave Propagation in Geophysics. Jose Camata (Federal University of Rio de Janeiro); Lucio de Abreu Correa, Luciano de Carvalho Paludo, and Regis Cottereau (French National Center for Scientific Research); and Alvaro Coutinho (Federal University of Rio de Janeiro)
  74. OPESCI: Open Performance portablE Seismic Imaging. Marcos de Aguiar (SENAI CIMATEC); Gerard Gorman (Imperial College London); Renato Miceli (SENAI CIMATEC); Christian Jacobs, Michael Lange, and Tianjiao Sun (Imperial College London); and Felippe Zacarias (SENAI CIMATEC)
  75. Optimization of an Ocean Model Using Performance Tools. Oriol Tintó Prims, Miguel Castrillo, Harald Servat, German Llort, and Kim Serradell (Barcelona Supercomputing Center); Oriol Mula-Valls (Catalan Institute of Climate Sciences); and Francisco Doblas-Reyes (Barcelona Supercomputing Center)
  76. Optimization of Stencil-Based Fusion Kernels on Tera-Flops Many-Core Architectures. Yuuichi Asahi (Japan Atomic Energy Agency), Guillaume Latu (French Alternative Energies and Atomic Energy Commission), Takuya Ina and Yasuhiro Idomura (Japan Atomic Energy Agency), and Virginie Grandgirard and Xavier Garbet (French Alternative Energies and Atomic Energy Commission)
  77. Optimizing CUDA Shared Memory Usage. Shuang Gao and Gregory D. Peterson (University of Tennessee, Knoxville)
  78. Out-of-Core Sorting Acceleration using GPU and Flash NVM. Hitoshi Sato, Ryo Mizote, and Satoshi Matsuoka (Tokyo Institute of Technology)
  79. Overcoming Distributed Debugging Challenges in the MPI+OpenMP Programming Model. Lai Wei (Rice University) and Ignacio Laguna, Dong H. Ahn, Matthew P. LeGendre, and Gregory L. Lee (Lawrence Livermore National Laboratory)
  80. Parallel Cardiac Electrophysiology Modeling Framework. Jacob Pollack, Xiaopeng Zhao, and Kwai Wong (University of Tennessee, Knoxville)
  81. Parallel Execution of Workflows Driven by a Distributed Database Management System. Renan Souza and Vítor Silva (Federal University of Rio de Janeiro), Daniel de Oliveira (Fluminense Federal University), Patrick Valduriez (French Institute for Research in Computer Science and Automation), and Alexandre A. B. Lima and Marta Mattoso (Federal University of Rio de Janeiro)
  82. Parallelization of Tsunami Simulation on CPU, GPU and FPGAs. Fumiya Kono, Naohito Nakasato, Kensaku Hayashi, Alexander Vazhenin, and Stanislav Sedukhin (University of Aizu); Kohei Nagasu and Kentaro Sano (Tohoku University); and Vasily Titov (National Oceanic and Atmospheric Administration)
  83. Parallelization, Acceleration, and Advancement of Dissipative Particle Dynamics (DPD) Methods. Timothy I. Mattox and James P. Larentzos (Engility Corporation); Christopher P. Stone (Computational Science and Engineering, LLC); Sean Ziegeler (Engility Corporation); John K. Brennan (U.S. Army Research Laboratory); and Martin Lísal (Institute of Chemical Process Fundamentals of the Academy of Sciences of the Czech Republic and J. E. Purkyne University)
  84. PDE Preconditioner Resilient to Soft and Hard Faults. Francesco Rizzi, Karla Morris, Kathryn Dahlgren, and Khachik Sargsyan (Sandia National Laboratories); Paul Mycek (Duke University); Cosmin Safta (Sandia National Laboratories); Olivier LeMaitre and Omar Knio (Duke University); and Bert Debusschere (Sandia National Laboratories)
  85. Performance Comparison of the Multi-Zone Scalar Pentadiagonal (SP-MZ) NAS Parallel Benchmark on Many-Core Parallel Platforms. Christopher P. Stone (Computational Science and Engineering, LLC) and Bracy Elton (Engility Corporation)
  86. A Performance Evaluation of Kokkos and RAJA using the TeaLeaf Mini-App. Matt Martineau and Simon McIntosh-Smith (University of Bristol), Wayne Gaudin (Atomic Weapons Establishment), Mike Boulton (University of Bristol), and David Beckingsale (Lawrence Livermore National Laboratory)
  87. Performance, Power, and Energy of In-Situ and Post-Processing Visualization: A Case Study in Climate Simulation. Vignesh Adhinarayanan (Virginia Polytechnic Institute and State University), Scott Pakin and David Rogers (Los Alamos National Laboratory), Wu-chun Feng (Virginia Polytechnic Institute and State University), and James Ahrens (Los Alamos National Laboratory)
  88. PERMON Toolbox Combining Discretization, Domain Decomposition, and Quadratic Programming. Vaclav Hapla, David Horak, and Lukas Pospisil (IT4Innovations National Supercomputing Center)
  89. PPP: Parallel Programming with Pictures. Annette C. Feng, Wu Feng, and Eli Tilevich (Virginia Polytechnic Institute and State University)
  90. Quantifying Productivity - Towards Development Effort Estimation in HPC. Sandra Wienke, Tim Cramer, and Matthias S. Müller (RWTH Aachen University) and Martin Schulz (Lawrence Livermore National Laboratory)
  91. A Real-Time Tsunami Inundation Forecast System for Tsunami Disaster Prevention and Mitigation. Akihiro Musa, Hiroshi Matsuoka, and Osamu Watanabe (NEC Corporation); Yoichi Murashima (Kokusai Kogyo Co., Ltd.); and Shunichi Koshimura, Ryota Hino, Yusaku Ohta, and Hiroaki Kobayashi (Tohoku University)
  92. Reduced-Precision Floating-Point Analysis. Michael O. Lam (James Madison University) and Jeffrey K. Hollingsworth (University of Maryland)
  93. Reliable Performance Auto-Tuning in Presence of DVFS. Md Rakib Hasan (Louisiana State University) and Eric Van Hensbergen and Wade Walker (ARM Research Labs, LLC)
  94. RendezView: An Interactive Visual Mining Tool for Discerning Flock Relationships in Social Media Data. Melissa J. Bica (University of Colorado Boulder) and Kyoung-Sook Kim (National Institute of Advanced Industrial Science and Technology)
  95. Resource Usage Characterization for Social Network Analytics on Spark. Irene Manotas (University of Delaware) and Rui Zhang, Min Li, Renu Tewari, and Dean Hildebrand (IBM Corporation)
  96. Scalable and Highly SIMD-Vectorized Molecular Dynamics Simulation Involving Multiple Bubble Nuclei. Hiroshi Watanabe and Satoshi Morita (The University of Tokyo), Hajime Inaoka (RIKEN Advanced Institute for Computational Science), Haruhiko Matsuo (Research Organization for Information Science and Technology), and Synge Todo and Nobuyasu Ito (The University of Tokyo)
  97. Scalable Mesh Generation for HPC Applications. Rajeev Jain, Navamita Ray, Iulian Grindeanu, Danqing Wu, and Vijay Mahadevan (Argonne National Laboratory)
  98. Scaling Smart Appliances for Spatial Data Synthesis. Luis Pineda-Morales (Microsoft Corporation and French Institute for Research in Computer Science and Automation); Balaji Subramaniam and Kate Keahey (Argonne National Laboratory); Gabriel Antoniu and Alexandru Costan (French Institute for Research in Computer Science and Automation); and Shaowen Wang, Anand Padmanabhan, and Aiman Soliman (University of Illinois at Urbana-Champaign)
  99. Scaling Uncertainty Quantification Studies to Millions of Jobs. Tamara L. Dahlgren, David Domyancic, Scott Brandon, Todd Gamblin, John Gyllenhaal, Rao Nimmakayala, and Richard Klein (Lawrence Livermore National Laboratory)
  100. Simulating and Visualizing Traffic on the Dragonfly Network. Abhinav Bhatele (Lawrence Livermore National Laboratory), Nikhil Jain (University of Illinois at Urbana-Champaign), Yarden Livnat and Valerio Pascucci (University of Utah), and Peer-Timo Bremer (Lawrence Livermore National Laboratory)
  101. SLAP: Making a Case for the Low-Powered Cluster by Leveraging Mobile Processors. Dukyun Nam, Jik-Soo Kim, Hoon Ryu, Gibeom Gu, and Chan Yeol Park (Korea Institute of Science and Technology Information)
  102. A Splitting Approach for the Parallel Solution of Large Linear Systems on GPU Cards. Ang Li, Radu Serban, and Dan Negrut (University of Wisconsin-Madison)
  103. A Standard Debug Interface for OpenMP Target Regions. Andreas Erik Hindborg (Technical University of Denmark), Ignacio Laguna (Lawrence Livermore National Laboratory), Sven Karlsson (Technical University of Denmark), and Dong H. Ahn (Lawrence Livermore National Laboratory)
  104. STATuner: Efficient Tuning of CUDA Kernels Parameters. Ravi Gupta (Purdue University); Ignacio Laguna, Dong H. Ahn, and Todd Gamblin (Lawrence Livermore National Laboratory); and Saurabh Bagchi and Felix Xiaozhu Lin (Purdue University)
  105. Task-Based Parallel Computation of the Density Matrix in Quantum-Based Molecular Dynamics Using Graph Partitioning. Sergio Pino, Matthew Kroonblawd, Purnima Ghale, Georg Hahn, Vivek Sardeshmukh, Guangjie Shi, Hristo Djidjev, Christian Negre, Robert Pavel, Benjamin Bergen, Susan Mniszewski, and Christoph Junghans (Los Alamos National Laboratory)
  106. Towards Scalable Graph Analytics on Time Dependent Graphs. Suraj Poudel (University of Alabama at Birmingham) and Roger Pearce and Maya Gokhale (Lawrence Livermore National Laboratory)
  107. Transition to Trinity: Preparing a Next-Generation Network. Kathryn S. Protin, Susan K. Coulter, Jesse E. Martinez, Alex F. Montaño, and Charles D. Wilder (Los Alamos National Laboratory)
  108. User Environment Tracking and Problem Detection with XALT. Kapil Agrawal and Gregory Peterson (University of Tennessee, Knoxville); Mark Fahey (Argonne National Laboratory); Robert McLay (The University of Texas at Austin); and Reuben Budiardja (University of Tennessee, Knoxville)
  109. Using MuMMI to Model and Optimize Energy and Performance of HPC Applications on Power-Aware Supercomputers. Xingfu Wu and Valerie Taylor (Texas A&M University)
  110. Utility-Based Data Transfers Scheduling Between Distributed Computing Facilities. Xin Wang (Illinois Institute of Technology), Wei Tang and Rajkumar Kettimuttu (Argonne National Laboratory), and Zhiling Lan (Illinois Institute of Technology)
  111. Verification of Resilient Communication Models for the Simulation of a Highly Adaptive Energy-Efficient Computer. Mario Bielert and Kim Feldhoff (Technical University of Dresden); Florina M. Ciorba (University of Basel); and Stefan Pfennig, Elke Franz, Thomas Ilsche, and Wolfgang E. Nagel (Technical University of Dresden)
  112. Virtualizing File Transfer Agents for Increased Throughput on a Single Host. Thomas Stitt (Pennsylvania State University), Amanda Bonnie (Los Alamos National Laboratory), and Zach Fuerst (Dakota State University)


SC15 Archive