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CORR
2008
Springer
185views Education» more  CORR 2008»
13 years 7 months ago
Realizing Fast, Scalable and Reliable Scientific Computations in Grid Environments
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...
JPDC
2008
134views more  JPDC 2008»
13 years 7 months ago
Middleware for data mining applications on clusters and grids
This paper gives an overview of two middleware systems that have been developed over the last 6 years to address the challenges involved in developing parallel and distributed imp...
Leonid Glimcher, Ruoming Jin, Gagan Agrawal
CAL
2011
12 years 7 months ago
Heterogeneity in "Homogeneous" Warehouse-Scale Computers: A Performance Opportunity
—The class of modern datacenters recently coined as “warehouse scale computers” (WSCs) has traditionally been embraced as homogeneous computing platforms. However, due to fre...
Jason Mars, Lingjia Tang, Robert Hundt
PPL
2008
264views more  PPL 2008»
13 years 7 months ago
A Performance Evaluation of the Nehalem Quad-Core Processor for Scientific Computing
In this work we present an initial performance evaluation of Intel's latest, secondgeneration quad-core processor, Nehalem, and provide a comparison to first-generation AMD a...
Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren ...
GRID
2007
Springer
14 years 1 months ago
Data placement for scientific applications in distributed environments
— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...