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HPDC
2003
IEEE
15 years 5 months ago
Pipeline and Batch Sharing in Grid Workloads
We present a study of six batch-pipelined scientific workloads that are candidates for execution on computational grids. Whereas other studies focus on the behavior of single app...
Douglas Thain, John Bent, Andrea C. Arpaci-Dusseau...
JSSPP
2004
Springer
15 years 5 months ago
Workload Characteristics of a Multi-cluster Supercomputer
This paper presents a comprehensive characterization of a multi-cluster supercomputer1 workload using twelvemonth scientific research traces. Metrics that we characterize include...
Hui Li, David L. Groep, Lex Wolters
DAWAK
2003
Springer
15 years 5 months ago
Handling Large Workloads by Profiling and Clustering
View materialization is recognized to be one of the most effective ways to increase the Data Warehouse performance; nevertheless, due to the computational complexity of the techniq...
Matteo Golfarelli

Publication
197views
16 years 11 months ago
SCRAP: A Statistical Approach for Creating Compact Representational Query Workload based on Performance Bottlenecks
James A. Skarie, Biplob K. Debnath, David J. Lilja, and Mohamed F. Mokbel. "SCRAP: A Statistical Approach for Creating Compact Representational Query Workload based on Perform...
James A. Skarie, Biplob K. Debnath, David J. Lilja...
ISCA
2012
IEEE
302views Hardware» more  ISCA 2012»
13 years 2 months ago
Scale-out processors
The emergence of global-scale online services has galvanized scale-out software, characterized by splitting vast datasets and massive computation across many independent servers. ...
Pejman Lotfi-Kamran, Boris Grot, Michael Ferdman, ...