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CCGRID
2008
IEEE
15 years 9 months ago
GridBatch: Cloud Computing for Large-Scale Data-Intensive Batch Applications
To be competitive, Enterprises are collecting and analyzing increasingly large amount of data in order to derive business insights. However, there are at least two challenges to m...
Huan Liu, Dan Orban
HPCC
2007
Springer
15 years 9 months ago
Throttling I/O Streams to Accelerate File-IO Performance
To increase the scale and performance of scientific applications, scientists commonly distribute computation over multiple processors. Often without realizing it, file I/O is pa...
Seetharami R. Seelam, Andre Kerstens, Patricia J. ...
CONCURRENCY
1998
115views more  CONCURRENCY 1998»
15 years 2 months ago
Falcon: On-line monitoring for steering parallel programs
Abstract Advances in high performance computing, communications, and user interfaces enable developers to construct increasingly interactive high performance applications. The Falc...
Weiming Gu, Greg Eisenhauer, Karsten Schwan, Jeffr...
123
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COOPIS
2002
IEEE
15 years 8 months ago
Parallel Processing with Autonomous Databases in a Cluster System
Abstract. We consider the use of a cluster system for Application Service Provider (ASP). In the ASP context, hosted applications and databases can be update-intensive and must rem...
Stéphane Gançarski, Hubert Naacke, E...
ICS
2007
Tsinghua U.
15 years 9 months ago
Tradeoff between data-, instruction-, and thread-level parallelism in stream processors
This paper explores the scalability of the Stream Processor architecture along the instruction-, data-, and thread-level parallelism dimensions. We develop detailed VLSI-cost and ...
Jung Ho Ahn, Mattan Erez, William J. Dally