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PPL
2006
77views more  PPL 2006»
15 years 4 months ago
Parallelization of Wavelet Filters Using Simd Extensions
Much work has been done to optimize wavelet transforms for SIMD extensions of modern CPUs. However, these approaches are mostly restricted to the vertical part of 2-D transforms w...
Rade Kutil, Peter Eder
TJS
2008
113views more  TJS 2008»
15 years 4 months ago
Improving the parallelism of iterative methods by aggressive loop fusion
Abstract. Traditionally, loop nests are fused only when the data dependences in the loop nests are not violated. This paper presents a new loop fusion algorithm that is capable of ...
Jingling Xue, Minyi Guo, Daming Wei
IEEECIT
2010
IEEE
15 years 3 months ago
Scaling the iHMM: Parallelization versus Hadoop
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
ASPDAC
2011
ACM
227views Hardware» more  ASPDAC 2011»
14 years 8 months ago
Minimizing buffer requirements for throughput constrained parallel execution of synchronous dataflow graph
– This paper concerns throughput-constrained parallel execution of synchronous data flow graphs. This paper assumes static mapping and dynamic scheduling of nodes, which has seve...
Tae-ho Shin, Hyunok Oh, Soonhoi Ha
SIGIR
2011
ACM
14 years 7 months ago
Parallel learning to rank for information retrieval
Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficien...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...