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» Effects of Job and Task Placement on Parallel Scientific App...
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ESCIENCE
2007
IEEE
13 years 10 months ago
A Dynamic Critical Path Algorithm for Scheduling Scientific Workflow Applications on Global Grids
Effective scheduling is a key concern for the execution of performance driven Grid applications. In this paper, we propose a Dynamic Critical Path (DCP) based workflow scheduling ...
Mustafizur Rahman 0003, Srikumar Venugopal, Rajkum...
IPPS
2010
IEEE
13 years 2 months ago
Reconciling scratch space consumption, exposure, and volatility to achieve timely staging of job input data
Innovative scientific applications and emerging dense data sources are creating a data deluge for highend computing systems. Processing such large input data typically involves cop...
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhk...
CLUSTER
2000
IEEE
13 years 4 months ago
Data management for large-scale scientific computations in high performance distributed systems
With the increasing number of scientific applications manipulating huge amounts of data, effective high-level data management is an increasingly important problem. Unfortunately, ...
Alok N. Choudhary, Mahmut T. Kandemir, Jaechun No,...
SEKE
2007
Springer
13 years 10 months ago
Improving Separation of Concerns in the Development of Scientific Applications
High performance computing (HPC) is gaining popularity in solving scientific applications. Using the current programming standards, however, it takes an HPC expert to efficiently ...
Seyed Masoud Sadjadi, J. Martínez, T. Soldo...
IPPS
2006
IEEE
13 years 10 months ago
Easy and reliable cluster management: the self-management experience of Fire Phoenix
High-Performance clusters are rapidly becoming an important computing platform for both scientific and business applications. To fulfill the new demands and challenges, cluster sy...
Zhihong Zhang, Dan Meng, Jianfeng Zhan, Lei Wang, ...