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» Application of Reduce Order Modeling to Time Parallelization
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DATE
2008
IEEE
137views Hardware» more  DATE 2008»
14 years 3 months ago
SPARE - a Scalable algorithm for passive, structure preserving, Parameter-Aware model order REduction
In this paper we describe a flexible and efficient new algorithm for model order reduction of parameterized systems. The method is based on the reformulation of the parametric s...
Jorge Fernandez Villena, Luis Miguel Silveira
HPCA
2009
IEEE
14 years 9 months ago
Voltage emergency prediction: Using signatures to reduce operating margins
Inductive noise forces microprocessor designers to sacrifice performance in order to ensure correct and reliable operation of their designs. The possibility of wide fluctuations i...
Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. H...
HPCA
2007
IEEE
14 years 9 months ago
Evaluating MapReduce for Multi-core and Multiprocessor Systems
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers...
Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, G...
ICPPW
2008
IEEE
14 years 3 months ago
Replay-Based Synchronization of Timestamps in Event Traces of Massively Parallel Applications
Event traces are helpful in understanding the performance behavior of message-passing applications since they allow in-depth analyses of communication and synchronization patterns...
Daniel Becker, John C. Linford, Rolf Rabenseifner,...
MICCAI
2002
Springer
14 years 9 months ago
Robust Registration of Multi-modal Images: Towards Real-Time Clinical Applications
Abstract. High performance computing has become a key step to introduce computer tools, like real-time registration, in the medical field. To achieve real-time processing, one usua...
Radu Stefanescu, Sébastien Ourselin, Xavier...