Open OnDemand: HPC for Everyone

Open OnDemand: HPC for Everyone

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Bibliographische Detailangaben
Veröffentlicht in:High performance computing
1. Verfasser: Settlage, Robert (VerfasserIn)
Weitere Verfasser: Chalker, Alan (VerfasserIn), Franz, Eric (VerfasserIn), Johnson, Doug (VerfasserIn), Gallo, Steve (VerfasserIn), Moore, Edgar (VerfasserIn), Hudak, David (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2019
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Titel Jahr Verfasser
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Batch Solution of Small PDEs with the OPS DSL 2019 Reguly, Istvan Z.
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Evaluating POWER Architecture for Distributed Training of Generative Adversarial Networks 2019 Hesam, Ahmad
A Study on the Performance of Reproducible Computations 2019 Bombace, Nico
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour 2019 Dattta, Kushal
Benchmarking Deep Learning Infrastructures by Means of TensorFlow and Containers 2019 Grupp, Adrian
Open OnDemand: HPC for Everyone 2019 Settlage, Robert
Highly Interactive, Steered Scientific Workflows on HPC Systems: Optimizing Design Solutions 2019 Ossyra, John R.
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Using FPGAs to Accelerate HPC and Data Analytics on Intel-Based Systems 2019 Steinke, Thomas
In-Situ Data Reduction via Incoherent Sensing 2019 Zhang, Kai
In-Situ Processing in Climate Science 2019 Rober, Niklas
Distributed Out-of-Core Approach for In-Situ Volume Rendering of Massive Dataset 2019 Sarton, Jonathan
Sarus: Highly Scalable Docker Containers for HPC Systems 2019 Benedicic, Lucas
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