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CCGRID
2006
IEEE
15 years 11 months ago
A Feedback Mechanism for Network Scheduling in LambdaGrids
Next-generation e-Science applications will require the ability to transfer information at high data rates between distributed computing centers and data repositories. A LambdaGri...
Pallab Datta, Sushant Sharma, Wu-chun Feng
198
Voted
CF
2006
ACM
15 years 11 months ago
Performance characteristics of an adaptive mesh refinement calculation on scalar and vector platforms
Adaptive mesh refinement (AMR) is a powerful technique that reduces the resources necessary to solve otherwise intractable problems in computational science. The AMR strategy solv...
Michael L. Welcome, Charles A. Rendleman, Leonid O...
CAV
2000
Springer
138views Hardware» more  CAV 2000»
15 years 10 months ago
Counterexample-Guided Abstraction Refinement
xample-Guided Abstraction Refinement for Symbolic Model Checking EDMUND CLARKE YUAN LU Carnegie Mellon University, Pittsburgh, Pennsylvania Broadcom Co., San Jose, California ORNA ...
Edmund M. Clarke, Orna Grumberg, Somesh Jha, Yuan ...
ATAL
2008
Springer
15 years 9 months ago
On the importance of migration for fairness in online grid markets
Computational grids offer users a simple access to tremendous computer resources for solving large scale computing problems. Traditional performance analysis of scheduling algorit...
Lior Amar, Ahuva Mu'alem, Jochen Stößer
CF
2005
ACM
15 years 9 months ago
Grid result checking
Result checking is the theory and practice of proving that the result of an execution of a program on an input is correct. Result checking has most often been envisioned in the fr...
Cécile Germain-Renaud, Dephine Monnier-Raga...
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