2019 search results - page 133 / 404 » Automatic data mapping of signal processing applications |
200
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NSDI
2010
15 years 7 months ago
2010
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...
166
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ICASSP
2009
IEEE
16 years 1 months ago
2009
IEEE
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
190
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CLOUD
2010
ACM
15 years 11 months ago
2010
ACM
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
169
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ESSMAC
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
160
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IPPS
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper, we study the problem of finding optimal mappings for several independent but concurrent workflow applications, in order to optimize performance-related criteria tog...