default search action
34th ISC 2019: Frankfurt/Main, Germany - Workshops
- Michèle Weiland
, Guido Juckeland
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
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
Container Orchestration on HPC Clusters. 25-35 - Jay F. Lofstead
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
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
Software and Hardware Co-design for Low-Power HPC Platforms. 88-100 - Nikolay A. Simakov
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
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
A Quantitative Approach to Architecting All-Flash Lustre File Systems. 183-197 - Jianshen Liu
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
Adventures in NoSQL for Metadata Management. 227-239 - Sandro Fiore
Towards High Performance Data Analytics for Climate Change. 240-257 - Adrian Jackson, Michèle Weiland
An Architecture for High Performance Computing and Data Systems Using Byte-Addressable Persistent Memory. 258-274 - Patrick M. Widener
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
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
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
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
Porting Adaptive Ensemble Molecular Dynamics Workflows to the Summit Supercomputer. 397-417 - Andreas Herten
Performance Comparison for Neuroscience Application Benchmarks. 418-431 - Ahmad Hesam, Sofia Vallecorsa, Gulrukh Khattak
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
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour. 463-477 - Adrian Grupp, Valentin Kozlov
Benchmarking Deep Learning Infrastructures by Means of TensorFlow and Containers. 478-489 - Daniel Nichols
MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing. 490-503 - Robert E. Settlage
Open OnDemand: HPC for Everyone. 504-513 - John R. Ossyra, Ada Sedova
Highly Interactive, Steered Scientific Workflows on HPC Systems: Optimizing Design Solutions. 514-527 - Nick Brown
The Role of Interactive Super-Computing in Using HPC for Urgent Decision Making. 528-540 - Mathis Bode
Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction. 541-560 - Thomas Steinke
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
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
Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments. 643-655
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-02 20:30 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: