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» Application of Reduce Order Modeling to Time Parallelization
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IJCNN
2007
IEEE
15 years 9 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
143
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ICS
2007
Tsinghua U.
15 years 9 months ago
Locality of sampling and diversity in parallel system workloads
Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
Dror G. Feitelson
123
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CGF
1999
125views more  CGF 1999»
15 years 3 months ago
Partitioning and Handling Massive Models for Interactive Collision Detection
We describe an approach for interactive collision detection and proximity computations on massive models composed of millions of geometric primitives. We address issues related to...
Andy Wilson, Eric Larsen, Dinesh Manocha, Ming C. ...
JAL
2008
89views more  JAL 2008»
15 years 3 months ago
Experimenting with parallelism for the instantiation of ASP programs
Abstract. In the last few years, the microprocessors technologies have been definitely moving to multi-core architectures, in order to improve performances as well as reduce power ...
Francesco Calimeri, Simona Perri, Francesco Ricca
ICCAD
2008
IEEE
147views Hardware» more  ICCAD 2008»
16 years 7 days ago
Overlay aware interconnect and timing variation modeling for double patterning technology
— As Double Patterning Technology (DPT) becomes the only solution for 32-nm lithography process, we need to investigate how DPT affects the performance of a chip. In this paper, ...
Jae-Seok Yang, David Z. Pan