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TPDS
2008
113views more  TPDS 2008»
13 years 11 months ago
Evaluating a High-Level Parallel Language (GpH) for Computational GRIDs
Computational Grids potentially offer low cost, readily available, and large-scale high-performance platforms. For the parallel execution of programs, however, computational GRIDs ...
Abdallah Al Zain, Philip W. Trinder, Greg Michaels...
CCGRID
2009
IEEE
14 years 6 months ago
Improving Parallel Write by Node-Level Request Scheduling
In a cluster of multiple processors or cpu-cores, many processes may run on each compute node. Each process tends to issue contiguous I/O requests for snapshot, checkpointing or s...
Kazuki Ohta, Hiroya Matsuba, Yutaka Ishikawa
ICPP
1996
IEEE
14 years 3 months ago
Mechanisms for Mapping High-Level Parallel Performance Data
A primary problem in the performance measurement of high-level parallel programming languages is to map lowlevel events to high-level programming constructs. We discuss several as...
R. Bruce Irvin, Barton P. Miller
IJPP
2010
74views more  IJPP 2010»
13 years 8 months ago
Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions
ions Using High-Level Abstractions Chunhua Liao
Chunhua Liao, Daniel J. Quinlan, Jeremiah Willcock...
ICCS
2005
Springer
14 years 4 months ago
Data-Parallel Method for Georeferencing of MODIS Level 1B Data Using Grid Computing
Georeference is a basic function of remote sensing data processing. Geo-corrected remote sensing data is an important source data for Geographic Information Systems (GIS) and other...
Yincui Hu, Yong Xue, Jiakui Tang, Shaobo Zhong, Gu...