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» Combining Multiple Clustering Systems
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152
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CLUSTER
2010
IEEE
14 years 7 months ago
Middleware support for many-task computing
Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing. Many-task computing denotes highperformance co...
Ioan Raicu, Ian T. Foster, Mike Wilde, Zhao Zhang,...
IPPS
1997
IEEE
15 years 7 months ago
Enhancing Software DSM for Compiler-Parallelized Applications
Current parallelizing compilers for message-passing machines only support a limited class of data-parallel applications. One method for eliminating this restriction is to combine ...
Peter J. Keleher, Chau-Wen Tseng
118
Voted
MIDDLEWARE
2007
Springer
15 years 9 months ago
Using checkpointing to recover from poor multi-site parallel job scheduling decisions
Recent research in multi-site parallel job scheduling leverages user-provided estimates of job communication characteristics to effectively partition the job across multiple clus...
William M. Jones
141
Voted
CLUSTER
2008
IEEE
15 years 10 months ago
Active CoordinaTion (ACT) - toward effectively managing virtualized multicore clouds
—A key benefit of utility data centers and cloud computing infrastructures is the level of consolidation they can offer to arbitrary guest applications, and the substantial savi...
Mukil Kesavan, Adit Ranadive, Ada Gavrilovska, Kar...
218
Voted
SIGMOD
2009
ACM
142views Database» more  SIGMOD 2009»
16 years 3 months ago
A grammar-based entity representation framework for data cleaning
Fundamental to data cleaning is the need to account for multiple data representations. We propose a formal framework that can be used to reason about and manipulate data represent...
Arvind Arasu, Raghav Kaushik