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» Parallel matrix algorithms and applications
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112
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TSMC
1998
91views more  TSMC 1998»
15 years 6 days ago
Toward the border between neural and Markovian paradigms
— A new tendency in the design of modern signal processing methods is the creation of hybrid algorithms. This paper gives an overview of different signal processing algorithms si...
Piotr Wilinski, Basel Solaiman, A. Hillion, W. Cza...
118
Voted
IEEEPACT
2008
IEEE
15 years 7 months ago
Characterizing and modeling the behavior of context switch misses
One of the essential features in modern computer systems is context switching, which allows multiple threads of execution to time-share a limited number of processors. While very ...
Fang Liu, Fei Guo, Yan Solihin, Seongbeom Kim, Abd...
131
Voted
JPDC
2006
146views more  JPDC 2006»
15 years 15 days ago
A semi-static approach to mapping dynamic iterative tasks onto heterogeneous computing systems
Minimization of the execution time of an iterative application in a heterogeneous parallel computing environment requires an appropriate mapping scheme for matching and scheduling...
Yu-Kwong Kwok, Anthony A. Maciejewski, Howard Jay ...
101
Voted
ASPLOS
2010
ACM
15 years 7 months ago
Flexible architectural support for fine-grain scheduling
To make efficient use of CMPs with tens to hundreds of cores, it is often necessary to exploit fine-grain parallelism. However, managing tasks of a few thousand instructions is ...
Daniel Sanchez, Richard M. Yoo, Christos Kozyrakis
114
Voted
TSP
2008
179views more  TSP 2008»
15 years 13 days ago
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...