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SCANGIS
2003
13 years 9 months ago
Parallel Distributed Application Framework for Earth Science Data Processing
The management and the processing of Earth science data has been gaining importance over the last decade due to higher data volumes generated by a larger number of instruments and ...
Petr Votava, Rama Nemani, Keith Golden, Daniel E. ...
SC
2004
ACM
14 years 29 days ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
JISE
2002
165views more  JISE 2002»
13 years 7 months ago
Locality-Preserving Dynamic Load Balancing for Data-Parallel Applications on Distributed-Memory Multiprocessors
Load balancing and data locality are the two most important factors in the performance of parallel programs on distributed-memory multiprocessors. A good balancing scheme should e...
Pangfeng Liu, Jan-Jan Wu, Chih-Hsuae Yang
HPCA
2006
IEEE
14 years 8 months ago
CORD: cost-effective (and nearly overhead-free) order-recording and data race detection
Chip-multiprocessors are becoming the dominant vehicle for general-purpose processing, and parallel software will be needed to effectively utilize them. This parallel software is ...
Milos Prvulovic
DICS
2006
13 years 11 months ago
Fault-Tolerant Parallel Applications with Dynamic Parallel Schedules: A Programmer's Perspective
Dynamic Parallel Schedules (DPS) is a flow graph based framework for developing parallel applications on clusters of workstations. The DPS flow graph execution model enables automa...
Sebastian Gerlach, Basile Schaeli, Roger D. Hersch