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TPDS
2008
113views more  TPDS 2008»
15 years 5 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
15 years 12 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
15 years 9 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»
15 years 2 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
15 years 10 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...