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» Breakpoints and Time in Distributed Computations
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FGCS
2000
143views more  FGCS 2000»
15 years 11 days ago
A data intensive distributed computing architecture for "Grid" applications
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Brian Tierney, William E. Johnston, Jason Lee, Mar...
125
Voted
HPDC
2002
IEEE
15 years 5 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
JSSPP
2010
Springer
14 years 10 months ago
The Gain of Resource Delegation in Distributed Computing Environments
Abstract. In this paper, we address job scheduling in Distributed Computing Infrastructures, that is a loosely coupled network of autonomous acting High Performance Computing syste...
Alexander Fölling, Christian Grimme, Joachim ...
ICDCS
2006
IEEE
15 years 6 months ago
Distributed Computing for Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks of Workstations
Hyperspectral imaging is a new technique which has become increasingly important in many remote sensing applications, including automatic target recognition for military and defen...
Antonio Plaza, Javier Plaza, David Valencia
GCC
2004
Springer
15 years 6 months ago
Distributed MD4 Password Hashing with Grid Computing Package BOINC
Distributed computing on heterogeneous nodes, or grid computing, provides a substantial increase in computational power available for many applications. This paper reports our expe...
Stephen Pellicer, Yi Pan, Minyi Guo