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ORCID34th ISC 2019: Frankfurt/Main, Germany - Workshops
- Michèle Weiland
, Guido Juckeland, Sadaf R. Alam, Heike Jagode:
High Performance Computing - ISC High Performance 2019 International Workshops, Frankfurt, Germany, June 16-20, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11887, Springer 2019, ISBN 978-3-030-34355-2
- Gabriele Ara, Luca Abeni, Tommaso Cucinotta, Carlo Vitucci:
On the Use of Kernel Bypass Mechanisms for High-Performance Inter-container Communications. 1-12 - Luis A. Garrido, Rajiv Nishtala, Paul M. Carpenter:
Continuous-Action Reinforcement Learning for Memory Allocation in Virtualized Servers. 13-24 - Marco Enrico Piras, Luca Pireddu, Marco Moro, Gianluigi Zanetti:
Container Orchestration on HPC Clusters. 25-35 - Jay F. Lofstead, Joshua Baker, Andrew Younge:
Data Pallets: Containerizing Storage for Reproducibility and Traceability. 36-45 - Lucas Benedicic, Felipe A. Cruz, Alberto Madonna, Kean Mariotti:
Sarus: Highly Scalable Docker Containers for HPC Systems. 46-60 - Giuseppa Muscianisi, Giuseppe Fiameni, Abdulrahman Azab:
Singularity GPU Containers Execution on HPC Cluster. 61-68 - Jarle Bjørgeengen:
A Multitenant Container Platform with OKD, Harbor Registry and ELK. 69-79 - Martial Michel, Nicholas Burnett:
Enabling GPU-Enhanced Computer Vision and Machine Learning Research Using Containers. 80-87 - Manolis Ploumidis, Nikolaos D. Kallimanis, Marios Asiminakis, Nikos Chrysos, Pantelis Xirouchakis, Michalis Gianoudis, Leandros Tzanakis, Nikolaos Dimou, Antonis Psistakis, Panagiotis Peristerakis, Giorgos Kalokairinos, Vassilis Papaefstathiou, Manolis Katevenis:
Software and Hardware Co-design for Low-Power HPC Platforms. 88-100 - Nikolay A. Simakov, Renette L. Jones-Ivey, Ali Akhavan-Safaei, Hossein Aghakhani, Matthew D. Jones, Abani K. Patra:
Modernizing Titan2D, a Parallel AMR Geophysical Flow Code to Support Multiple Rheologies and Extendability. 101-112 - Muhammed Nufail Farooqi, Tan Nguyen, Weiqun Zhang, Ann S. Almgren, John Shalf, Didem Unat:
Asynchronous AMR on Multi-GPUs. 113-123 - István Z. Reguly, Branden Moore, Tim Schmielau, Jacques Du Toit, Gihan R. Mudalige:
Batch Solution of Small PDEs with the OPS DSL. 124-141 - Nabeeh Jum'ah, Julian M. Kunkel:
Scalable Parallelization of Stencils Using MODA. 142-154 - Swaroop Pophale, Swen Boehm, Verónica G. Vergara Larrea:
Comparing High Performance Computing Accelerator Programming Models. 155-168 - Julian M. Kunkel, Eugen Betke:
Tracking User-Perceived I/O Slowdown via Probing. 169-182 - Glenn K. Lockwood, Kirill Lozinskiy, Lisa Gerhardt, Ravi Cheema, Damian Hazen, Nicholas J. Wright:
A Quantitative Approach to Architecting All-Flash Lustre File Systems. 183-197 - Jianshen Liu, Philip Kufeldt, Carlos Maltzahn:
MBWU: Benefit Quantification for Data Access Function Offloading. 198-213 - Eugen Betke, Julian M. Kunkel:
Footprinting Parallel I/O - Machine Learning to Classify Application's I/O Behavior. 214-226 - Jay F. Lofstead, Ashleigh Ryan, Margaret Lawson:
Adventures in NoSQL for Metadata Management. 227-239 - Sandro Fiore, Donatello Elia, Cosimo Palazzo, Fabrizio Antonio, Alessandro D'Anca, Ian T. Foster, Giovanni Aloisio:
Towards High Performance Data Analytics for Climate Change. 240-257 - Adrian Jackson, Michèle Weiland, Mark Parsons, Bernhard Homölle:
An Architecture for High Performance Computing and Data Systems Using Byte-Addressable Persistent Memory. 258-274 - Patrick M. Widener, Craig D. Ulmer, Scott Levy, Todd Kordenbrock, Gary Templet:
Mediating Data Center Storage Diversity in HPC Applications with FAODEL. 275-287 - Florent Monjalet, Thomas Leibovici:
Predicting File Lifetimes with Machine Learning. 288-299 - Alberto Chiusole, Stefano Cozzini, Daniel C. van der Ster, Massimo Lamanna, Graziano Giuliani:
An I/O Analysis of HPC Workloads on CephFS and Lustre. 300-316 - Alexandre Castellane, Bruno Mesnet:
Enabling Fast and Highly Effective FPGA Design Process Using the CAPI SNAP Framework. 317-329 - Verónica G. Vergara Larrea, Wayne Joubert, Michael J. Brim, Reuben D. Budiardja, Don Maxwell, Matthew Ezell, Christopher Zimmer, Swen Boehm, Wael R. Elwasif, Sarp Oral, Chris Fuson, Daniel Pelfrey, Oscar R. Hernandez, Dustin Leverman, Jesse Hanley, Mark A. Berrill, Arnold N. Tharrington:
Scaling the Summit: Deploying the World's Fastest Supercomputer. 330-351 - Manuel Arenaz, Xavier Martorell:
Parallelware Tools: An Experimental Evaluation on POWER Systems. 352-360 - Kawthar Shafie Khorassani, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Performance Evaluation of MPI Libraries on GPU-Enabled OpenPOWER Architectures: Early Experiences. 361-378 - Kaushik Velusamy, Smriti Prathapan, Milton Halem:
Exploring the Behavior of Coherent Accelerator Processor Interface (CAPI) on IBM Power8+ Architecture and FlashSystem 900. 379-396 - John R. Ossyra, Ada Sedova, Arnold N. Tharrington, Frank Noé, Cecilia Clementi, Jeremy C. Smith:
Porting Adaptive Ensemble Molecular Dynamics Workflows to the Summit Supercomputer. 397-417 - Andreas Herten, Thorsten Hater, Wouter Klijn, Dirk Pleiter:
Performance Comparison for Neuroscience Application Benchmarks. 418-431 - Ahmad Hesam, Sofia Vallecorsa, Gulrukh Khattak, Federico Carminati:
Evaluating POWER Architecture for Distributed Training of Generative Adversarial Networks. 432-440 - Nico Bombace, Michèle Weiland:
A Study on the Performance of Reproducible Computations. 441-451 - Michael Mascagni:
Three Numerical Reproducibility Issues That Can Be Explained as Round-Off Error. 452-462 - Kushal Datta, Imtiaz Hossain, Sun Choi, Vikram A. Saletore, Kyle Ambert, William J. Godinez, Xian Zhang:
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour. 463-477 - Adrian Grupp, Valentin Kozlov, Isabel Campos Plasencia, Mário David, Jorge Gomes, Álvaro López García:
Benchmarking Deep Learning Infrastructures by Means of TensorFlow and Containers. 478-489 - Daniel Nichols, Nathalie-Sofia Tomov, Frank Betancourt, Stanimire Tomov, Kwai Wong, Jack J. Dongarra:
MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing. 490-503 - Robert E. Settlage, Alan Chalker, Eric Franz, Douglas Johnson, Steven M. Gallo, Edgar Moore, David E. Hudak:
Open OnDemand: HPC for Everyone. 504-513 - John R. Ossyra, Ada Sedova, Matthew B. Baker, Jeremy C. Smith:
Highly Interactive, Steered Scientific Workflows on HPC Systems: Optimizing Design Solutions. 514-527 - Nick Brown, Rupert Nash, Gordon Gibb, Bianca Prodan, Max Kontak, Vyacheslav Olshevsky, Wei Der Chien:
The Role of Interactive Super-Computing in Using HPC for Urgent Decision Making. 528-540 - Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch:
Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction. 541-560 - Thomas Steinke, Estela Suarez, Taisuke Boku, Nalini Kumar, David E. Martin:
Using FPGAs to Accelerate HPC and Data Analytics on Intel-Based Systems. 561-566 - Nick Brown:
Exploring the Acceleration of the Met Office NERC Cloud Model Using FPGAs. 567-586 - Chao Jiang, Dave Ojika, Thorsten Kurth, Prabhat, Sofia Vallecorsa, Bhavesh Patel, Herman Lam:
Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel® FPGAs. 587-600 - Kai Zhang, Alireza Entezari:
In-Situ Data Reduction via Incoherent Sensing. 601-611 - Niklas Röber, Jan Frederik Engels:
In-Situ Processing in Climate Science. 612-622 - Jonathan Sarton, Yannick Rémion, Laurent Lucas:
Distributed Out-of-Core Approach for In-Situ Volume Rendering of Massive Dataset. 623-633 - Mathias Hummel, Kees van Kooten:
Leveraging NVIDIA Omniverse for In Situ Visualization. 634-642 - Kwai Wong, Stanimire Tomov, Jack J. Dongarra:
Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments. 643-655
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