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Parallel and distributed scientific and engineering computing
2003
Parallel Computing
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in the area of parallel and distributed computing for science and engineering applications. ...
This special issue is mainly divided into three sections, namely programming and system support, advanced numerical computation and high performance applications, respectively. ...
The represented areas, as well, are not an exhaustive representation of the world of current high performance scientific and engineering computing. ...
doi:10.1016/j.parco.2003.08.001
fatcat:mubqtqbf7fdn5fajkwopbm36lu
Distributed and Generic Maximum Likelihood Evaluation
2007
Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007)
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This paper presents GMLE 1 , a generic and distributed framework for maximum likelihood evaluation. ...
We expect that scientific computing frameworks, such as GMLE, will help bridge the gap between scientists needing to analyze ever larger amounts of data and ever more complex distributed computing environments ...
distributed computing environments. ...
doi:10.1109/e-science.2007.30
dblp:conf/eScience/DesellCMNSV07
fatcat:uapuxe55sbazfpidvjvrmpmjoq
GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials
2007
Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007)
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This paper presents GMLE 1 , a generic and distributed framework for maximum likelihood evaluation. ...
We expect that scientific computing frameworks, such as GMLE, will help bridge the gap between scientists needing to analyze ever larger amounts of data and ever more complex distributed computing environments ...
distributed computing environments. ...
doi:10.1109/e-science.2007.41
dblp:conf/eScience/WegenerSSRA07
fatcat:olblq5synrfqti4ensmpmvaire
Evaluation of the Application Benefit of Meteorological High Performance Computing Resources
2017
Journal of Geoscience and Environment Protection
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The scientific and objective method to evaluate the application of meteorological high-performance computing resources can not only provide reference for the optimization of active resources, but also ...
The evaluation process, evaluation index and calculation method of the high performance computing resource application benefits are introduced. ...
Aiming at the complexity of high-performance computing resource application, a three-level evaluation index is established. ...
doi:10.4236/gep.2017.57012
fatcat:57bdt4vbe5d2ppuhrkrfzhwlpa
Author's index
2000
ACM/IEEE SC 2000 Conference (SC'00)
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Requirements for and Evaluation of RMI Protocols for Scientific Computing
Smith, Barry F. ...
and Requirements for and Evaluation of RMI Protocols for Scientific Computing
Gao, Guang R. ...
doi:10.1109/sc.2000.10057
fatcat:siz2mgpg3jhwbeos4ew7z3jmmq
A Multi-Application Controller for SAGE-enabled Tiled Display Wall in Wide-area Distributed Computing Environments
2011
Journal of Information Processing Systems
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In this paper, we present a multi-application controller for SAGE, which we have developed, in the hope that it will help scientists efficiently perform scientific research requiring high-performance computing ...
use huge computational power harnessed on the Internet for their analyses of scientific data. ...
Figure 7 shows the overview of the evaluation environment used for this evaluation. ...
doi:10.3745/jips.2011.7.4.581
fatcat:7noyb2upsbe7nnagip4yefwh6a
Asynchronous genetic search for scientific modeling on large-scale heterogeneous environments
2008
Proceedings, International Parallel and Distributed Processing Symposium (IPDPS)
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application, providing a strong argument for their use on grid computing environments and by the MilkyWay@Home BOINC internet computing project. ...
Use of large-scale heterogeneous computing environments such as computational grids and the Internet has become of high interest to scientific researchers. ...
is an author and co-author of over three hundred publications and an editor of three books. Dr. Szymanski is also an Editor-in-Chief ...
doi:10.1109/ipdps.2008.4536169
dblp:conf/ipps/DesellSV08
fatcat:vxyhtggadrafpoqtgcaulvdffy
Deadline Guarantee Enhanced Scheduling of Scientific Workflow Applications in Grid
2013
Journal of Computers
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Deadline guarantee is an important QoS requirement for some critical scientific workflow applications. ...
of scientific workflow. ...
We are grateful for support from the High Performance Computing Center of Central South University. ...
doi:10.4304/jcp.8.4.842-850
fatcat:y6vngjskefcjjjcng72mxc46lu
Scientific workflows management and scheduling in cloud computing: Taxonomy, prospects, and challenges
2021
IEEE Access
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Acknowledgement This work is supposed by Universiti Putra Malaysia and the Ministry of Education Malaysia. ...
It finds evaluation platforms used for the evaluation of scientific workflows techniques based on various performance evaluation parameters. ...
It finds evaluation platforms used for the evaluation
of scientific workflows techniques based on various
performance evaluation parameters. ...
doi:10.1109/access.2021.3070785
fatcat:nbrkndnhzra57lpbhzpyeht3wq
SciFlow: A dataflow-driven model architecture for scientific computing using Hadoop
2013
2013 IEEE International Conference on Big Data
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It provides an efficient mechanism for building a parallel scientific application with dataflow patterns, and enables the design, deployment, and execution of data intensive, many-task computing tasks ...
Many computational science applications utilize complex workflow patterns that generate an intricately connected set of output files for subsequent analysis. ...
ACKNOWLEDGMENTS This research is sponsored in part by NSF awards CNS-1228312 and OCI-1212680, and used HPC resources of the Clemson Computing and Information Technology. ...
doi:10.1109/bigdata.2013.6691725
dblp:conf/bigdataconf/XuanZSA13
fatcat:7sptcg6ge5cxbcemhfomxkbyli
Methodology for trade-off analysis when moving scientific applications to cloud
2012
4th IEEE International Conference on Cloud Computing Technology and Science Proceedings
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Scientific applications have always been one of the major driving forces for the development and efficient utilization of large scale distributed systems -computational Grids represent one of the prominent ...
While these infrastructures, such as Grids or Clusters, are widely used for running most of the scientific applications, they still use bare physical machines with fixed configurations and very little ...
While the scientific community has leveraged from using distributed computing for several decades, the lack of decision making support for evaluating benefits and trade-offs between two infrastructures ...
doi:10.1109/cloudcom.2012.6427575
dblp:conf/cloudcom/MastelicLIB12
fatcat:ghvxbxuynfbixdzbpjduvznto4
The design methodology of Phoenix cluster system software stack
2007
Proceedings of the 2007 Asian technology information program's (ATIP's) 3rd workshop on High performance computing in China solution approaches to impediments for high performance computing - CHINA HPC '07
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According to the four criteria, we have proposed a management service-based layered design methodology and built a complete cluster system software stack for both scientific and business computing. ...
Our practices and evaluations show our design methodology has advantages over others in terms of the proposed criteria. ...
Since the application range of cluster has expanded beyond scientific computing and become dominant production platforms for different kinds of computing, it is worth proposing evaluation criteria and ...
doi:10.1145/1375783.1375818
dblp:conf/sc/ZhanWTWZJWCWQMS07
fatcat:yrvi5v4aefdz5ehqabnu45i6hm
Scheduling Performance Analysis on Parameter Sweep Applications in Cloud Environments
2016
International Journal of Grid and Distributed Computing
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In this work, we take effects on analyzing the scheduling performance of cloud platforms for Parameter Sweep Applications (PSA), which is one of most used program models in large-scale scientific computing ...
However, many existing cloud platforms are designed for supporting commercial applications instead of large-scale scientific computing workloads. ...
for the performance-hungry scientific computing community. ...
doi:10.14257/ijgdc.2016.9.4.19
fatcat:2pjaor7gsnevvbbrwv74dyoli4
FRIEDA: Flexible Robust Intelligent Elastic Data Management in Cloud Environments
2012
2012 SC Companion: High Performance Computing, Networking Storage and Analysis
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Scientific applications are increasingly using cloud resources for their data analysis workflows. ...
The explosion in scientific data coupled with unique characteristics of cloud environments require a more flexible and robust distributed data management solution than the ones currently in existence. ...
Orlikowski for help with the ExoGENI testbed. ...
doi:10.1109/sc.companion.2012.132
dblp:conf/sc/GhoshalR12
fatcat:ukvd7gdv45gx5ousd6rjjmullm
Evaluating storage systems for scientific data in the cloud
2014
Proceedings of the 5th ACM workshop on Scientific cloud computing - ScienceCloud '14
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Infrastructure-as-a-Service (IaaS) clouds are an appealing resource for scientific computing. ...
We leverage the expressivity of the Swift parallel scripting framework to benchmark the performance of a number of storage systems using synthetic workloads and three real-world applications. ...
Department of Energy, under Contract No. DE-AC02-06CH11357. We thank Gail Pieper for proofreading help. We thank Amazon for AWS Amazon research grant award. ...
doi:10.1145/2608029.2608034
dblp:conf/hpdc/MaheshwariWYKRZW14
fatcat:3rtqegs4rrbdxorejqj72hb76a
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