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» Application Insight Through Performance Modeling
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ASPLOS
2008
ACM
13 years 8 months ago
Dispersing proprietary applications as benchmarks through code mutation
Industry vendors hesitate to disseminate proprietary applications to academia and third party vendors. By consequence, the benchmarking process is typically driven by standardized...
Luk Van Ertvelde, Lieven Eeckhout
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 6 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
ICCS
2007
Springer
13 years 10 months ago
Building Verifiable Sensing Applications Through Temporal Logic Specification
Abstract. Sensing is at the core of virtually every DDDAS application. Sensing applications typically involve distributed communication and coordination over large self-organized n...
Asad Awan, Ahmed H. Sameh, Suresh Jagannathan, Ana...
CCGRID
2008
IEEE
13 years 8 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec
DAC
2006
ACM
14 years 20 days ago
Modeling and analysis of circuit performance of ballistic CNFET
With the advent of carbon nanotube technology, evaluating circuit and system performance using these devices is becoming extremely important. In this paper, we propose a quasi-ana...
Bipul C. Paul, Shinobu Fujita, Masaki Okajima, Tho...