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检索条件"机构=Applied Computer Science and Scientific Computing"
375 条 记 录,以下是51-60 订阅
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CoreTSAR: Adaptive worksharing for heterogeneous systems
CoreTSAR: Adaptive worksharing for heterogeneous systems
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29th International Supercomputing Conference, ISC 2014
作者: Scogland, Thomas R. W. Feng, Wu-Chun Rountree, Barry De Supinski, Bronis R. Department of Computer Science Virginia Tech Blacksburg VA 24060 United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA 94551 United States
The popularity of heterogeneous computing continues to increase rapidly due to the high peak performance, favorable energy efficiency, and comparatively low cost of accelerators. However, heterogeneous programming mod... 详细信息
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Automatically adapting programs for mixed-precision floating-point computation  13
Automatically adapting programs for mixed-precision floating...
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27th ACM International Conference on Supercomputing, ICS 2013
作者: Lam, Michael O. Hollingsworth, Jeffrey K. De Supinski, Bronis R. Legendre, Matthew P. Dept. of Computer Science University of Maryland College Park MD United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA United States
As scientific computation continues to scale, efficient use of floating-point arithmetic processors is critical. Lower precision allows streaming architectures to perform more operations per second and can reduce memo... 详细信息
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Managing performance analysis with dynamic statistical projection pursuit
Managing performance analysis with dynamic statistical proje...
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1999 ACM/IEEE Conference on Supercomputing, SC 1999
作者: Vetter, Jeffrey S. Reed, Daniel A. Center for Applied Scientific Computing Lawrence Livermore National Laboratory LivermoreCA94550 United States Department of Computer Science University of Illinois UrbanaIL61801 United States
computer systems and applications are growing more complex. Consequently, performance analysis has become more difficult due to the complex, transient interrelationships among runtime components. To diagnose these typ...
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Feature Identification and Extraction in Function Fields
Feature Identification and Extraction in Function Fields
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9th Joint Eurographics/IEEE VGTC Symposium on Visualization, EuroVis 2007
作者: Anderson, John C. Gosink, Luke J. Duchaineau, Mark A. Joy, Kenneth I. Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory
We present interactive techniques for identifying and extracting features in function fields. Function fields map points in n-dimensional Euclidean space to 1-dimensional scalar functions. Visual feature identificatio... 详细信息
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Maximizing adaptivity in hierarchical topological models using cancellation trees
Maximizing adaptivity in hierarchical topological models usi...
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Workshop on Mathematical Foundations of scientific Visualization, computer Graphics, and Massive Data Exploration, 2004
作者: Bremer, Peer-Timo Pascucci, Valerio Hamann, Bernd Department of Computer Science University of Illinois Urbana-Champaign United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory United States Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States
We present a highly adaptive hierarchical representation of the topology of functions defined over two-manifold domains. Guided by the theory of Morse–Smale complexes, we encode dependencies between cancellations of ... 详细信息
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Adaptive energy-preserving algorithms for guiding center system
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Plasma science and Technology 2023年 第4期25卷 11-22页
作者: 朱贝贝 刘健 张嘉炜 祝爱卿 唐贻发 Department of Applied Mathematics School of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083Peopleʼs Republic of China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230026Peopleʼs Republic of China Advanced algorithm Joint Lab Shandong Computer Science CenterQilu University of TechnologyJinan 250014Peopleʼs Republic of China The State Key Laboratory of Scientific and Engineering Computing The Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190Peopleʼs Republic of China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049Peopleʼs Republic of China
We develop two types of adaptive energy preserving algorithms based on the averaged vector field for the guiding center dynamics,which plays a key role in magnetized *** adaptive scheme is applied to the Gauss Legendr... 详细信息
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A hybrid hardware/software approach to efficiently determine cache coherence bottlenecks  05
A hybrid hardware/software approach to efficiently determine...
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ICS05 - 19th ACM International Conference on Supercomputing
作者: Marathe, Jaydeep Mueller, Frank De Supinski, Bronis Department of Computer Science North Carolina State University Raleigh NC 27695-7534 Lawrence Livermore National Laboratory Center for Applied Scientific Computing L-561 Livermore CA 94551
High-end computing increasingly relies on shared-memory multiprocessors (SMPs), such as clusters of SMPs, nodes of chipmultiprocessors (CMP) or large-scale single-system image (SSI) SMPs. In such systems, performance ... 详细信息
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Quantifying the effectiveness of load balance algorithms  12
Quantifying the effectiveness of load balance algorithms
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26th ACM International Conference on Supercomputing, ICS'12
作者: Pearce, Olga Gamblin, Todd De Supinski, Bronis R. Schulz, Martin Amato, Nancy M. Department of Computer Science and Engineering Texas A and M University College Station TX United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA United States
Load balance is critical for performance in large parallel applications. An imbalance on today's fastest supercomputers can force hundreds of thousands of cores to idle, and on future exascale machines this cost w... 详细信息
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Improving the communication pattern in matrix-vector operations for large scale-free graphs by disaggregation
Improving the communication pattern in matrix-vector operati...
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作者: Kuhlemann, Verena Vassilevski, Panayot S. Department of Mathematics and Computer Science Emory University Atlanta GA 30322 United States Lawrence Livermore National Laboratory Center for Applied Scientific Computing Livermore CA 94551 United States
Matrix-vector multiplication is the key operation in any Krylov-subspace iteration method. We are interested in Krylov methods applied to problems associated with the graph Laplacian arising from large scale-free grap... 详细信息
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Decoupled load balancing  2015
Decoupled load balancing
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20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2015
作者: Pearce, Olga Gamblin, Todd De Supinski, Bronis R. Schulz, Martin Amato, Nancy M. Department of Computer Science and Engineering Texas A and M University College StationTX United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory LivermoreCA United States
Modern scientific simulations divide work between parallel processors by decomposing a spatial domain of mesh cells, particles, or other elements. A balanced assignment of the computational load is critical for parall... 详细信息
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