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HPDC
2002
IEEE
13 years 10 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
BMCBI
2007
166views more  BMCBI 2007»
13 years 5 months ago
Data handling strategies for high throughput pyrosequencers
Background: New high throughput pyrosequencers such as the 454 Life Sciences GS 20 are capable of massively parallelizing DNA sequencing providing an unprecedented rate of output ...
Gabriele A. Trombetti, Raoul J. P. Bonnal, Ermanno...
PPAM
2005
Springer
13 years 10 months ago
A Web Computing Environment for Parallel Algorithms in Java
We present a web computing library (PUBWCL) in Java that allows to execute tightly coupled, massively parallel algorithms in the bulk-synchronous (BSP) style on PCs distributed ove...
Olaf Bonorden, Joachim Gehweiler, Friedhelm Meyer ...
SC
2005
ACM
13 years 11 months ago
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. H...
Rong Ge, Xizhou Feng, Kirk W. Cameron
PDP
2008
IEEE
13 years 11 months ago
Just-In-Time Scheduling for Loop-based Speculative Parallelization
Scheduling for speculative parallelization is a problem that remained unsolved despite its importance. Simple methods such as Fixed-Size Chunking (FSC) need several ‘dry-runs’...
Diego R. Llanos Ferraris, David Orden, Belé...