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ORCIDISC Workshops 2018: Frankfurt/Main, Germany
- Rio Yokota, Michèle Weiland, John Shalf, Sadaf R. Alam:
High Performance Computing - ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11203, Springer 2018, ISBN 978-3-030-02464-2
HPC I/O in the Data Center Workshop (HPC-IODC 2018)
- Sandra Méndez
, Nicolay J. Hammer, Anupam Karmakar:
Analyzing the I/O Scalability of a Parallel Particle-in-Cell Code. 9-22 - Jakob Lüttgau, Julian M. Kunkel:
Cost and Performance Modeling for Earth System Data Management and Beyond. 23-35 - Yuichi Tsujita, Yoshitaka Furutani, Hajime Hida, Keiji Yamamoto, Atsuya Uno, Fumichika Sueyasu:
I/O Interference Alleviation on Parallel File Systems Using Server-Side QoS-Based Load-Balancing. 36-48 - Julian Martin Kunkel, Eugen Betke, Matt Bryson, Philip H. Carns, Rosemary Francis, Wolfgang Frings, Roland Laifer, Sandra Méndez:
Tools for Analyzing Parallel I/O. 49-70
Workshop on Performance and Scalability of Storage Systems (WOPSSS 2018)
- Julian Martin Kunkel, George S. Markomanolis:
Understanding Metadata Latency with MDWorkbench. 75-88 - Robert Schmidtke, Florian Schintke, Thorsten Schütt:
From Application to Disk: Tracing I/O Through the Big Data Stack. 89-102 - Abdulqawi Saif, Lucas Nussbaum, Ye-Qiong Song:
IOscope: A Flexible I/O Tracer for Workloads' I/O Pattern Characterization. 103-116 - Steven Wei Der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy:
Exploring Scientific Application Performance Using Large Scale Object Storage. 117-130 - Eugen Betke, Julian M. Kunkel:
Benefit of DDN's IME-FUSE for I/O Intensive HPC Applications. 131-144 - Leonardo Bautista-Gomez, Kai Keller, Osman S. Unsal:
Performance Study of Non-volatile Memories on a High-End Supercomputer. 145-156 - Lionel Vincent, Mamady Nabé, Gaël Goret:
Self-optimization Strategy for IO Accelerator Parameterization. 157-170
13th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 2018)
- Aimilios Tsalapatis, Stefanos Gerangelos, Stratos Psomadakis, Konstantinos Papazafeiropoulos, Nectarios Koziris:
utmem: Towards Memory Elasticity in Cloud Workloads. 173-183 - Radostin Stoyanov, Martin J. Kollingbaum:
Efficient Live Migration of Linux Containers. 184-193
Third International Workshop on In Situ Visualization: Introduction and Applications (WOIV 2018)
- Allen R. Sanderson, Alan Humphrey, John A. Schmidt, Robert Sisneros:
Coupling the Uintah Framework and the VisIt Toolkit for Parallel In Situ Data Analysis and Visualization and Computational Steering. 201-214 - James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, David Pugmire:
Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation. 215-229 - Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire:
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. 230-242 - Kenji Ono, Jorji Nonaka, Hiroyuki Yoshikawa, Takeshi Nanri, Yoshiyuki Morie, Tomohiro Kawanabe, Fumiyoshi Shoji:
Design of a Flexible In Situ Framework with a Temporal Buffer for Data Processing and Visualization of Time-Varying Datasets. 243-257 - Simon Oehrl, Jan Müller, Jan Schnathmeier, Jochen Martin Eppler, Alexander Peyser, Hans Ekkehard Plesser, Benjamin Weyers, Bernd Hentschel, Torsten W. Kuhlen, Tom Vierjahn:
Streaming Live Neuronal Simulation Data into Visualization and Analysis. 258-272 - Nicole Marsaglia, Shaomeng Li, Hank Childs:
Enabling Explorative Visualization with Full Temporal Resolution via In Situ Calculation of Temporal Intervals. 273-293 - Kai Sdeo, Boyan Zheng, Marian Piatkowski, Filip Sadlo:
In-Situ Visualization of Solver Residual Fields. 294-309 - Kengo Hayashi, Naohisa Sakamoto, Jorji Nonaka, Motohiko Matsuda, Fumiyoshi Shoji:
An In-Situ Visualization Approach for the K Computer Using Mesa 3D and KVS. 310-322
4th International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale (ExaComm 2018)
- Milos Kotlar, Veljko Milutinovic:
Comparing Controlflow and Dataflow for Tensor Calculus: Speed, Power, Complexity, and MTBF. 329-346 - Samuel Knight, Joseph P. Kenny, Jeremiah J. Wilke:
Supercomputer in a Laptop: Distributed Application and Runtime Development via Architecture Simulation. 347-359
International Workshop on OpenPOWER for HPC 2018 (IWOPH 2018)
- Igor Sfiligoi, Jeff Candy, Mark Kostuk:
CGYRO Performance on Power9 CPUs and Volta GPUs. 365-372 - Gordon C. Fossum, Ting Wang, H. Peter Hofstee:
A 64-GB Sort at 28 GB/s on a 4-GPU POWER9 Node for Uniformly-Distributed 16-Byte Records with 8-Byte Keys. 373-386 - Claudio Bonati, Enrico Calore, Massimo D'Elia, Michele Mesiti, Francesco Negro, Sebastiano Fabio Schifano, Giorgio Silvi, Raffaele Tripiccione:
Early Experience on Running OpenStaPLE on DAVIDE. 387-401 - Nagarajan Kathiresan, Rashid Al-Ali, Puthen V. Jithesh, Ganesan Narayanasamy, Zaid Al-Ars:
Porting and Benchmarking of BWAKIT Pipeline on OpenPOWER Architecture. 402-410 - Milos Puzovic, Vadim V. Elisseev, Kirk E. Jordan, James L. McDonagh, Alexander Harrison, Robert Sawko:
Improving Performance and Energy Efficiency on OpenPower Systems Using Scalable Hardware-Software Co-design. 411-417 - Arghya Chatterjee, Gonzalo Alvarez, Eduardo F. D'Azevedo, Wael R. Elwasif, Oscar R. Hernandez, Vivek Sarkar:
Porting DMRG++ Scientific Application to OpenPOWER. 418-431 - Evan Berkowitz, Gustav R. Jansen, Kenneth McElvain, André Walker-Loud:
Job Management with mpi_jm. 432-439 - Jisheng Zhao, Oscar R. Hernandez, Reuben D. Budiardja, M. Graham Lopez, Vivek Sarkar, Jack C. Wells:
Compile-Time Library Call Detection Using CAASCADE and XALT. 440-447 - Carl Pearson, I-Hsin Chung, Zehra Sura, Wen-Mei Hwu, Jinjun Xiong:
NUMA-Aware Data-Transfer Measurements for Power/NVLink Multi-GPU Systems. 448-454
IXPUG Workshop: Many-Core Computing on Intel Processors: Applications, Performance and Best-Practice Solutions
- Brandon Cook, Charlene Yang, Thorsten Kurth, Jack Deslippe:
Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures. 463-471 - Bálint Joó, Thorsten Kurth:
Lessons Learned from Optimizing Kernels for Adaptive Aggregation Multi-grid Solvers in Lattice QCD. 472-486 - Sofia Vallecorsa, Federico Carminati, Gulrukh Khattak, Damian Podareanu, Valeriu Codreanu, Vikram A. Saletore, Hans Pabst:
Distributed Training of Generative Adversarial Networks for Fast Detector Simulation. 487-503
Workshop on Sustainable Ultrascale Computing Systems
- Estefania Serrano, Aleksandar Ilic, Leonel Sousa, Javier García-Blas, Jesús Carretero:
Cache-Aware Roofline Model and Medical Image Processing Optimizations in GPUs. 509-526 - Alexey L. Lastovetsky, Muhammad Fahad, Hamidreza Khaleghzadeh, Semyon Khokhriakov, Ravi Reddy, Arsalan Shahid, Lukasz Szustak, Roman Wyrzykowski:
How Pre-multicore Methods and Algorithms Perform in Multicore Era. 527-539
Approximate and Transprecision Computing on Emerging Technologies (ATCET 2018)
- Giulia Stazi, Lorenzo Adani, Antonio Mastrandrea, Mauro Olivieri, Francesco Menichelli:
Impact of Approximate Memory Data Allocation on a H.264 Software Video Encoder. 545-553 - Hartwig Anzt, Goran Flegar, Vedran Novakovic, Enrique S. Quintana-Ortí, Andrés E. Tomás:
Residual Replacement in Mixed-Precision Iterative Refinement for Sparse Linear Systems. 554-561 - Albert Kahira, Leonardo Bautista-Gomez, Rosa M. Badia:
Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study. 562-569 - Michael Bromberger, Wolfgang Karl:
A Transparent View on Approximate Computing Methods for Tuning Applications. 570-578 - Konstantinos Parasyris, Nikolaos Bellas, Christos D. Antonopoulos, Spyros Lalis:
Exploring the Effects of Code Optimizations on CPU Frequency Margins. 579-587
First Workshop on the Convergence of Large-Scale Simulation and Artificial Intelligence
- Moritz August, José Miguel Hernández-Lobato:
Taking Gradients Through Experiments: LSTMs and Memory Proximal Policy Optimization for Black-Box Quantum Control. 591-613 - Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch:
Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning. 614-623
Third Workshop for Open Source Supercomputing (OpenSuCo 2018)
- Denise Stringhini, Pedro Spoljaric Gomes, Alvaro Luiz Fazenda:
Using a Graph Visualization Tool for Parallel Program Dynamic Visualization and Communication Analysis. 627-636 - Pekka Jääskeläinen, John Glossner, Martin Jambor, Aleksi Tervo, Matti Rintala:
Offloading C++17 Parallel STL on System Shared Virtual Memory Platforms. 637-647
First Workshop on Interactive High-Performance Computing
- Julia S. Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. 655-668 - Jens Henrik Göbbert, Tim Kreuzer, Alice Grosch, Andreas Lintermann, Morris Riedel:
Enabling Interactive Supercomputing at JSC Lessons Learned. 669-677 - Steven Andrew Farrell, Aaron Vose, Oliver Evans, Matthew L. Henderson, Shreyas Cholia, Fernando Pérez, Wahid Bhimji, Shane Canon, Rollin C. Thomas, Prabhat:
Interactive Distributed Deep Learning with Jupyter Notebooks. 678-687
Third International Workshop on Performance Portable Programming Models for Accelerators (P3MA 2018)
- Nabeeh Jum'ah, Julian M. Kunkel:
Performance Portability of Earth System Models with User-Controlled GGDML Code Translation. 693-710 - Swen Boehm, Swaroop Pophale, Verónica G. Vergara Larrea, Oscar R. Hernandez:
Evaluating Performance Portability of Accelerator Programming Models using SPEC ACCEL 1.2 Benchmarks. 711-723 - Henk Dreuning, Roel Heirman, Ana Lucia Varbanescu:
A Beginner's Guide to Estimating and Improving Performance Portability. 724-742 - Simon D. Hammond, Christian R. Trott, Daniel Ibanez, Daniel Sunderland:
Profiling and Debugging Support for the Kokkos Programming Model. 743-754
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