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» Application of Reduce Order Modeling to Time Parallelization
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2009
ACM
15 years 8 months ago
FACT: fast communication trace collection for parallel applications through program slicing
A proper understanding of communication patterns of parallel applications is important to optimize application performance and design better communication subsystems. Communicatio...
Jidong Zhai, Tianwei Sheng, Jiangzhou He, Wenguang...
NOCS
2008
IEEE
15 years 8 months ago
Reducing the Interconnection Network Cost of Chip Multiprocessors
This paper introduces a cost-effective technique to deal with CMP coherence protocol requirements from the interconnection network point of view. A mechanism is presented to avoid...
Pablo Abad, Valentin Puente, José-Án...
NOMS
2010
IEEE
180views Communications» more  NOMS 2010»
15 years 11 days ago
Performance-driven task co-scheduling for MapReduce environments
—MapReduce is a data-driven programming model proposed by Google in 2004 which is especially well suited for distributed data analytics applications. We consider the management o...
Jorda Polo, David Carrera, Yolanda Becerra, Malgor...
CLOUDCOM
2010
Springer
14 years 12 months ago
Applying Twister to Scientific Applications
Many scientific applications suffer from the lack of a unified approach to support the management and efficient processing of large-scale data. The Twister MapReduce Framework, whi...
Bingjing Zhang, Yang Ruan, Tak-Lon Wu, Judy Qiu, A...
CONCUR
2009
Springer
15 years 8 months ago
Partial Order Reduction for Probabilistic Systems: A Revision for Distributed Schedulers
Abstract. The technique of partial order reduction (POR) for probabilistic model checking prunes the state space of the model so that a maximizing scheduler and a minimizing one pe...
Sergio Giro, Pedro R. D'Argenio, Luis María...