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HPDC
2002
IEEE
13 years 11 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
CLUSTER
2008
IEEE
14 years 1 months ago
Supporting storage resources in Urgent Computing Environments
Abstract—The Special PRiority and Urgent Computing Environment (SPRUCE) provides on-demand access to highperformance computing resources for time-critical applications. While SPR...
Jason Cope, Henry M. Tufo
CCGRID
2009
IEEE
14 years 1 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
HPDC
2010
IEEE
13 years 7 months ago
Biocompute: towards a collaborative workspace for data intensive bio-science
The explosion of data in the biological community demands the development of more scalable and flexible portals for bioinformatic computation. To address this need, we put forth c...
Rory Carmichael, Patrick Braga-Henebry, Douglas Th...
HICSS
2009
IEEE
122views Biometrics» more  HICSS 2009»
14 years 1 months ago
GrayWulf: Scalable Software Architecture for Data Intensive Computing
Big data presents new challenges to both cluster infrastructure software and parallel application design. We present a set of software services and design principles for data inte...
Yogesh Simmhan, Roger S. Barga, Catharine van Inge...