High Performance Computing: ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers

Front Matter ....Pages I-XXII
Front Matter ....Pages 1-7
 Analyzing the I/O Scalability of a Parallel Particle-in-Cell Code  (Sandra Mendez, Nicolay J. Hammer, Anupam Karmakar)....Pages 9-22
 Cost and Performance Modeling for Earth System Data Management and Beyond  (Jakob Lüttgau, Julian Kunkel)....Pages 23-35
 I/O Interference Alleviation on Parallel File Systems Using Server-Side QoS-Based Load-Balancing  (Yuichi Tsujita, Yoshitaka Furutani, Hajime Hida, Keiji Yamamoto, Atsuya Uno, Fumichika Sueyasu)....Pages 36-48
 Tools for Analyzing Parallel I/O  (Julian Martin Kunkel, Eugen Betke, Matt Bryson, Philip Carns, Rosemary Francis, Wolfgang Frings et al.)....Pages 49-70
Front Matter ....Pages 71-74
 Understanding Metadata Latency with MDWorkbench  (Julian Martin Kunkel, George S. Markomanolis)....Pages 75-88
 From Application to Disk: Tracing I/O Through the Big Data Stack  (Robert Schmidtke, Florian Schintke, Thorsten Schütt)....Pages 89-102
 IOscope: A Flexible I/O Tracer for Workloads’ I/O Pattern Characterization  (Abdulqawi Saif, Lucas Nussbaum, Ye-Qiong Song)....Pages 103-116
 Exploring Scientific Application Performance Using Large Scale Object Storage  (Steven Wei-der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy)....Pages 117-130
 Benefit of DDN’s IME-FUSE for I/O Intensive HPC Applications  (Eugen Betke, Julian Kunkel)....Pages 131-144
 Performance Study of Non-volatile Memories on a High-End Supercomputer  (Leonardo Bautista Gomez, Kai Keller, Osman Unsal)....Pages 145-156
 Self-optimization Strategy for IO Accelerator Parameterization  (Lionel Vincent, Mamady Nabe, Gaël Goret)....Pages 157-170
Front Matter ....Pages 171-172
 utmem: Towards Memory Elasticity in Cloud Workloads  (Aimilios Tsalapatis, Stefanos Gerangelos, Stratos Psomadakis, Konstantinos Papazafeiropoulos, Nectarios Koziris)....Pages 173-183
 Efficient Live Migration of Linux Containers  (Radostin Stoyanov, Martin J. Kollingbaum)....Pages 184-193
Front Matter ....Pages 195-199
 Coupling the Uintah Framework and the VisIt Toolkit for Parallel In Situ Data Analysis and Visualization and Computational Steering  (Allen Sanderson, Alan Humphrey, John Schmidt, Robert Sisneros)....Pages 201-214
 Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation  (James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, David Pugmire)....Pages 215-229
 In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned  (Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf et al.)....Pages 230-242
 Design of a Flexible In Situ Framework with a Temporal Buffer for Data Processing and Visualization of Time-Varying Datasets  (Kenji Ono, Jorji Nonaka, Hiroyuki Yoshikawa, Takeshi Nanri, Yoshiyuki Morie, Tomohiro Kawanabe et al.)....Pages 243-257
 Streaming Live Neuronal Simulation Data into Visualization and Analysis  (Simon Oehrl, Jan Müller, Jan Schnathmeier, Jochen Martin Eppler, Alexander Peyser, Hans Ekkehard Plesser et al.)....Pages 258-272
 Enabling Explorative Visualization with Full Temporal Resolution via In Situ Calculation of Temporal Intervals  (Nicole Marsaglia, Shaomeng Li, Hank Childs)....Pages 273-293
 In-Situ Visualization of Solver Residual Fields  (Kai Sdeo, Boyan Zheng, Marian Piatkowski, Filip Sadlo)....Pages 294-309
 An In-Situ Visualization Approach for the K Computer Using Mesa 3D and KVS  (Kengo Hayashi, Naohisa Sakamoto, Jorji Nonaka, Motohiko Matsuda, Fumiyoshi Shoji)....Pages 310-322
Front Matter ....Pages 323-328
 Comparing Controlflow and Dataflow for Tensor Calculus: Speed, Power, Complexity, and MTBF  (Milos Kotlar, Veljko Milutinovic)....Pages 329-346
 Supercomputer in a Laptop: Distributed Application and Runtime Development via Architecture Simulation  (Samuel Knight, Joseph P. Kenny, Jeremiah J. Wilke)....Pages 347-359
Front Matter ....Pages 361-364
 CGYRO Performance on Power9 CPUs and Volta GPUs  (I. Sfiligoi, J. Candy, M. Kostuk)....Pages 365-372
 A 64-GB Sort at 28 GB/s on a 4-GPU POWER9 Node for Uniformly-Distributed 16-Byte Records with 8-Byte Keys  (Gordon C. Fossum, Ting Wang, H. Peter Hofstee)....Pages 373-386
 Early Experience on Running OpenStaPLE on DAVIDE  (Claudio Bonati, Enrico Calore, Massimo D’Elia, Michele Mesiti, Francesco Negro, Sebastiano Fabio Schifano et al.)....Pages 387-401
 Porting and Benchmarking of BWAKIT Pipeline on OpenPOWER Architecture  (Nagarajan Kathiresan, Rashid Al-Ali, Puthen Jithesh, Ganesan Narayanasamy, Zaid Al-Ars)....Pages 402-410
 Improving Performance and Energy Efficiency on OpenPower Systems Using Scalable Hardware-Software Co-design  (Miloš Puzović, Vadim Elisseev, Kirk Jordan, James Mcdonagh, Alexander Harrison, Robert Sawko)....Pages 411-417
 Porting DMRG++ Scientific Application to OpenPOWER  (Arghya Chatterjee, Gonzalo Alvarez, Eduardo D’Azevedo, Wael Elwasif, Oscar Hernandez, Vivek Sarkar)....Pages 418-431
 Job Management with mpi_jm  (Evan Berkowitz, Gustav Jansen, Kenneth McElvain, André Walker-Loud)....Pages 432-439
 Compile-Time Library Call Detection Using CAASCADE and XALT  (Jisheng Zhao, Oscar R. Hernandez, Reuben D. Budiardja, M. Graham Lopez, Vivek Sarkar, Jack C. Wells)....Pages 440-447
 NUMA-Aware Data-Transfer Measurements for Power/NVLink Multi-GPU Systems  (Carl Pearson, I-Hsin Chung, Zehra Sura, Wen-Mei Hwu, Jinjun Xiong)....Pages 448-454
Front Matter ....Pages 455-461
 Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures  (Brandon Cook, Charlene Yang, Thorsten Kurth, Jack Deslippe)....Pages 463-471
 Lessons Learned from Optimizing Kernels for Adaptive Aggregation Multi-grid Solvers in Lattice QCD  (Bálint Joó, Thorsten Kurth)....Pages 472-486
 Distributed Training of Generative Adversarial Networks for Fast Detector Simulation  (Sofia Vallecorsa, Federico Carminati, Gulrukh Khattak, Damian Podareanu, Valeriu Codreanu, Vikram Saletore et al.)....Pages 487-503
Front Matter ....Pages 505-508
 Cache-Aware Roofline Model and Medical Image Processing Optimizations in GPUs  (Estefania Serrano, Aleksandar Ilic, Leonel Sousa, Javier Garcia-Blas, Jesus Carretero)....Pages 509-526
 How Pre-multicore Methods and Algorithms Perform in Multicore Era  (Alexey Lastovetsky, Muhammad Fahad, Hamidreza Khaleghzadeh, Semyon Khokhriakov, Ravi Reddy, Arsalan Shahid et al.)....Pages 527-539
Front Matter ....Pages 541-543
 Impact of Approximate Memory Data Allocation on a H.264 Software Video Encoder  (Giulia Stazi, Lorenzo Adani, Antonio Mastrandrea, Mauro Olivieri, Francesco Menichelli)....Pages 545-553
 Residual Replacement in Mixed-Precision Iterative Refinement for Sparse Linear Systems  (Hartwig Anzt, Goran Flegar, Vedran Novaković, Enrique S. Quintana-Ortí, Andrés E. Tomás)....Pages 554-561
 Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study  (Albert Kahira, Leonardo Bautista Gomez, Rosa M. Badia)....Pages 562-569
 A Transparent View on Approximate Computing Methods for Tuning Applications  (Michael Bromberger, Wolfgang Karl)....Pages 570-578
 Exploring the Effects of Code Optimizations on CPU Frequency Margins  (Konstantinos Parasyris, Nikolaos Bellas, Christos D. Antonopoulos, Spyros Lalis)....Pages 579-587
Front Matter ....Pages 589-589
 Taking Gradients Through Experiments: LSTMs and Memory Proximal Policy Optimization for Black-Box Quantum Control  (Moritz August, José Miguel Hernández-Lobato)....Pages 591-613
 Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning  (Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch)....Pages 614-623
Front Matter ....Pages 625-625
 Using a Graph Visualization Tool for Parallel Program Dynamic Visualization and Communication Analysis  (Denise Stringhini, Pedro Spoljaric Gomes, Alvaro Fazenda)....Pages 627-636
 Offloading C++17 Parallel STL on System Shared Virtual Memory Platforms  (Pekka Jääskeläinen, John Glossner, Martin Jambor, Aleksi Tervo, Matti Rintala)....Pages 637-647
Front Matter ....Pages 649-653
 Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers  (Julia Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun et al.)....Pages 655-668
 Enabling Interactive Supercomputing at JSC Lessons Learned  (Jens Henrik Göbbert, Tim Kreuzer, Alice Grosch, Andreas Lintermann, Morris Riedel)....Pages 669-677
 Interactive Distributed Deep Learning with Jupyter Notebooks  (Steve Farrell, Aaron Vose, Oliver Evans, Matthew Henderson, Shreyas Cholia, Fernando Pérez et al.)....Pages 678-687
Front Matter ....Pages 689-691
 Performance Portability of Earth System Models with User-Controlled GGDML Code Translation  (Nabeeh Jum’ah, Julian Kunkel)....Pages 693-710
 Evaluating Performance Portability of Accelerator Programming Models using SPEC ACCEL 1.2 Benchmarks  (Swen Boehm, Swaroop Pophale, Verónica G. Vergara Larrea, Oscar Hernandez)....Pages 711-723
 A Beginner’s Guide to Estimating and Improving Performance Portability  (Henk Dreuning, Roel Heirman, Ana Lucia Varbanescu)....Pages 724-742
 Profiling and Debugging Support for the Kokkos Programming Model  (Simon D. Hammond, Christian R. Trott, Daniel Ibanez, Daniel Sunderland)....Pages 743-754
Back Matter ....Pages 755-757