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检索条件"机构=Parallel Programming Laboratory"
31 条 记 录,以下是1-10 订阅
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Accelerating Brain Simulations with the Fast Multipole Method
arXiv
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arXiv 2023年
作者: Nöttgen, Hannah Czappa, Fabian Wolf, Felix Laboratory for Parallel Programming Technical University of Darmstadt Darmstadt Germany
The brain is probably the most complex organ in the human body. To understand processes such as learning or healing after brain lesions, we need suitable tools for brain simulations. The Model of Structural Plasticity... 详细信息
来源: 评论
Simulating Structural Plasticity of the Brain more Scalable than Expected
arXiv
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arXiv 2022年
作者: Czappa, Fabian Geiß, Alexander Wolf, Felix Laboratory for Parallel Programming Department of Computer Science Technical University of Darmstadt Germany
Structural plasticity of the brain describes the creation of new and the deletion of old synapses over time. Rinke et al. (JPDC 2018) introduced a scalable algorithm that simulates structural plasticity for up to one ...
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Automatic Instrumentation Refinement for Empirical Performance Modeling
Automatic Instrumentation Refinement for Empirical Performan...
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IEEE/ACM International Workshop on programming and Performance Visualization Tools (ProTools)
作者: Jan-Patrick Lehr Alexandru Calotoiu Christian Bischof Felix Wolf Institute for Scientific Computing Technische Universität Darmstadt Darmstadt Germany Laboratory for Parallel Programming Technische Universität Darmstadt Darmstadt Germany
The analysis of runtime performance is important during the development and throughout the life cycle of HPC applications. One important objective in performance analysis is to identify regions in the code that show s... 详细信息
来源: 评论
How File-access Patterns Inuence the Degree of I/O Interference between Cluster Applications
Supercomputing Frontiers and Innovations
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Supercomputing Frontiers and Innovations 2019年 第2期6卷 29-55页
作者: Shah, Aamer Kuo, Chih-Song Nomura, Akihiro Matsuoka, Satoshi Wolf, Felix Laboratory for Parallel Programming Technische Universita•t Darmstadt Darmstadt Germany Taiwan Semiconductor Manufacturing Company Limited Hsinchu Taiwan Global Scientic Information and Computing Center Tokyo Institute of Technology Tokyo Japan Department of Mathematical and Computing Science Tokyo Institute of Technology Tokyo Japan
On large-scale clusters, tens to hundreds of applications can simultaneously access a parallel le system, leading to contention and, in its wake, to degraded application performance. In this article, we analyze the in... 详细信息
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Managing Power Demand and Load Imbalance to Save Energy on Systems with Heterogeneous CPU Speeds
Managing Power Demand and Load Imbalance to Save Energy on S...
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International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
作者: Edson Luiz Padoin Matthias Diener Philippe O. A. Navaux Jean-François Méhaut Department of Exact Sciences and Engineering (DCEEng) Regional University of Northwest of Rio Grande do Sul (UNIJUI) Ijuí Brazil Parallel Programming Laboratory (PPL) University of Illinois at Urbana-Champaign (UIUC) Urbana-Champaign USA Informatics Institute Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil University Grenoble Alpes Grenoble France
Different simulations of real problems have been executed in High Performance Computing systems. However, the power consumption of these systems is an increasing concern once more energy are consumed to large simulati... 详细信息
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Scaling Score-P to the next level *
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Procedia Computer Science 2017年 108卷 2180-2189页
作者: Daniel Lorenz Christian Feld Laboratory for Parallel Programming Technische Universität Darmstadt Darmstadt Germany Jülich Supercomputing Centre Forschungszentrum Jülich GmbH Jülich Germany
As part of performance measurements with Score-P, a description of the system and the execution locations is recorded into the performance measurement reports. For large-scale measurements using a million or more proc... 详细信息
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Automatic parallel Pattern Detection in the Algorithm Structure Design Space
Automatic Parallel Pattern Detection in the Algorithm Struct...
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International Symposium on parallel and Distributed Processing (IPDPS)
作者: Zia Ul Huda Rohit Atre Ali Jannesari Felix Wolf Laboratory for Parallel Programming Technische Universität Darmstadt Darmstadt Germany RWTH Aachen University Aachen Germany
parallel design patterns have been developed to help programmers efficiently design and implement parallel applications. However, identifying a suitable parallel pattern for a specific code region in a sequential appl... 详细信息
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Power management of extreme-scale networks with on/off links in runtime systems
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ACM Transactions on parallel Computing 2015年 第2期1卷 1–21页
作者: Totoni, Ehsan Jain, Nikhil Kale, Laxmikant V. Parallel Programming Laboratory Department of Computer Science University of Illinois at Urbana-Champaign UrbanaIL61801 United States
Networks are among major power consumers in large-scale parallel systems. During execution of common parallel applications, a sizeable fraction of the links in the high-radix interconnects are either never used or are... 详细信息
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Preventing the explosion of exascale profile data with smart thread-level aggregation  4
Preventing the explosion of exascale profile data with smart...
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4th Workshop on Extreme Scale programming Tools, ESPT 2015
作者: Lorenz, Daniel Shudler, Sergei Wolf, Felix Laboratory for Parallel Programming Technische Universität Darmstadt Darmstadt Germany
State of the art performance analysis tools, such as Score-P, record performance profoles on a per-thread basis. However, for exascale systems the number of threads is expected to be in the order of a billion threads,... 详细信息
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Down to Earth - How to Visualize Traffic on High-dimensional Torus Networks
Down to Earth - How to Visualize Traffic on High-dimensional...
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Workshop on Visual Performance Analysis (VPA)
作者: Lucas Theisen Aamer Shah Felix Wolf Department of Computer Science RWTH Aachen University Aachen Germany German Research School for Simulation Sciences Laboratory for Parallel Programming Aachen Germany
High-dimensional torus networks are becoming common in flagship HPC systems, with five of the top ten systems in June 2014 having networks with more than three dimensions. Although such networks combine performance wi... 详细信息
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