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检索条件"任意字段=9th IEEE/ACM Workshop on Python for High-Performance and Scientific Computing, PYHPC 2020"
18 条 记 录,以下是11-20 订阅
排序:
python Workflows on HPC Systems
Python Workflows on HPC Systems
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workshop on python for high-performance and scientific computing (pyhpc)
作者: Dominik Straßel Philipp Reusch Janis Keuper Fraunhofer ITWM Kaiserslautern Germany Offenburg University Germany
the recent successes and wide spread application of compute intensive machine learning and data analytics methods have been boosting the usage of the python programming language on HPC systems. While python provides m... 详细信息
来源: 评论
Experiences in Developing a Distributed Agent-based Modeling Toolkit with python
Experiences in Developing a Distributed Agent-based Modeling...
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workshop on python for high-performance and scientific computing (pyhpc)
作者: Nicholson T. Collier Jonathan Ozik Eric R. Tatara Argonne National Laboratory Lemont IL USA
Distributed agent-based modeling (ABM) on high-performance computing resources provides the promise of capturing unprecedented details of large-scale complex systems. However, the specialized knowledge required for de... 详细信息
来源: 评论
Distributed Asynchronous Array computing with the JetLag Environment
Distributed Asynchronous Array Computing with the JetLag Env...
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workshop on python for high-performance and scientific computing (pyhpc)
作者: Steven R. Brandt Bita Hasheminezhad Nanmiao Wu Sayef Azad Sakin Alex R. Bigelow Katherine E. Isaacs Kevin Huck Hartmut Kaiser Louisiana State University Baton Rouge LA USA University of Arizona Tucson AZ USA University of Oregon Eugene OR USA
We describe JetLag, a python-based environment that provides access to a distributed, interactive, asynchronous many-task (AMT) computing framework called Phylanx. this environment encompasses the entire computing pro... 详细信息
来源: 评论
Accelerating Microstructural Analytics with Dask for Volumetric X-ray Images
Accelerating Microstructural Analytics with Dask for Volumet...
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workshop on python for high-performance and scientific computing (pyhpc)
作者: Daniela Ushizima Matthew McCormick Dilworth Parkinson Computational Research Division LBNL UC Berkeley Berkeley CA USA 94720 Insight Toolkit Carrboro NC USA 27510 Beamline 8.3.2 Berkeley CA USA 94720
While X-ray microtomography has become indispensable in 3D inspections of materials, efficient processing of such volumetric datasets continues to be a challenge. this paper describes a computational environment for H... 详细信息
来源: 评论
Data Engineering for HPC with python
Data Engineering for HPC with Python
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workshop on python for high-performance and scientific computing (pyhpc)
作者: Vibhatha Abeykoon Niranda Perera Chathura Widanage Supun Kamburugamuve thejaka Amila Kanewala Hasara Maithree Pulasthi Wickramasinghe Ahmet Uyar Geoffrey Fox Luddy School of Informatics Computing and Engineering IN 47408 USA Digital Science Center Bloomington IN 47408 USA Indiana University Alumni IN 47408 USA University of Moratuwa Department of Computer Science and Engineering Sri Lanka
Data engineering is becoming an increasingly important part of scientific discoveries with the adoption of deep learning and machine learning. Data engineering deals with a variety of data formats, storage, data extra... 详细信息
来源: 评论
Enabling System Wide Shared Memory for performance Improvement in PyCOMPSs Applications
Enabling System Wide Shared Memory for Performance Improveme...
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workshop on python for high-performance and scientific computing (pyhpc)
作者: Clément Foyer Javier Conejero Jorge Ejarque Rosa M. Badia Adrian Tate Simon McIntosh-Smith HPE HPC/AI EMEA Research Lab Bristol United Kingdom High Performance Computing Research Group University of Bristol Bristol United Kingdom Barcelona Supercomputing Center Barcelona Spain Numerical Algorithms Group Ltd. (NAG) Oxford United Kingdom
python has been gaining some traction for years in the world of scientific applications. However, the high-level abstraction it provides may not allow the developer to use the machines to their peak performance. To ad... 详细信息
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Enabling python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs  7
Enabling Python to execute efficiently in heterogeneous dist...
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7th workshop on python for high-performance and scientific computing (pyhpc)
作者: Amela, Ramon Ramon-Cortes, Cristian Ejarque, Jorge Conejero, Javier Badia, Rosa M. Barcelona Supercomp Ctr Barcelona Spain CSIC Barcelona Spain
python has been adopted as programming language by a large number of scientific communities. Additionally to the easy programming interface, the large number of libraries and modules that have been made available by a... 详细信息
来源: 评论
Dispel4py: A python framework for data-intensive eScience  5
Dispel4py: A python framework for data-intensive eScience
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5th workshop on python for high-performance and scientific computing, pyhpc 2015
作者: Krause, Amrey Filgueira, Rosa Atkinson, Malcolm EPCC University of Edinburgh EdinburghEH9 3FD United Kingdom School of Informatics University of Edinburgh EdinburghEH8 9LE United Kingdom
We present dispel4py, a novel data intensive and high performance computing middleware provided as a standard python library for describing stream-based workows. It allows its users to develop their scientific applica... 详细信息
来源: 评论