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» Application of Reduce Order Modeling to Time Parallelization
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PPOPP
2010
ACM
16 years 25 days ago
Modeling transactional memory workload performance
Transactional memory promises to make parallel programming easier than with fine-grained locking, while performing just as well. This performance claim is not always borne out bec...
Donald E. Porter, Emmett Witchel
ISPASS
2009
IEEE
15 years 10 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
138
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CBSE
2005
Springer
15 years 9 months ago
Performance Prediction of J2EE Applications Using Messaging Protocols
Abstract. Predicting the performance of component-based applications is difficult due to the complexity of the underlying component technology. This problem is exacerbated when a m...
Yan Liu, Ian Gorton
107
Voted
JPDC
2006
85views more  JPDC 2006»
15 years 3 months ago
Provable algorithms for parallel generalized sweep scheduling
We present provably efficient parallel algorithms for sweep scheduling, which is a commonly used technique in Radiation Transport problems, and involves inverting an operator by i...
V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Pa...
ECRTS
2005
IEEE
15 years 9 months ago
Speed Modulation in Energy-Aware Real-Time Systems
This paper presents a general framework for analyzing and designing embedded systems with energy and timing requirements. A set of realistic assumptions is considered in the model...
Enrico Bini, Giorgio C. Buttazzo, Giuseppe Lipari