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» High Performance Matrix Multiplication on Many Cores
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SC
2009
ACM
14 years 3 months ago
Automating the generation of composed linear algebra kernels
Memory bandwidth limits the performance of important kernels in many scientific applications. Such applications often use sequences of Basic Linear Algebra Subprograms (BLAS), an...
Geoffrey Belter, Elizabeth R. Jessup, Ian Karlin, ...
ICCCN
2007
IEEE
14 years 3 months ago
Interleaving Techniques for W-CDMA Linear Equalization Receivers
—This paper focuses on the use of specific interleaving techniques for use in W-CDMA (Wideband Code Division Multiple Access). The linear equalization algorithm usually performs ...
João Carlos Silva, Rui Dinis, Nuno Souto, F...
ASPLOS
2012
ACM
12 years 4 months ago
Chameleon: operating system support for dynamic processors
The rise of multi-core processors has shifted performance efforts towards parallel programs. However, single-threaded code, whether from legacy programs or ones difficult to para...
Sankaralingam Panneerselvam, Michael M. Swift
RIVF
2008
13 years 10 months ago
Simple but effective methods for combining kernels in computational biology
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori ...
KDD
2004
ACM
118views Data Mining» more  KDD 2004»
14 years 9 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...