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» Parallel matrix algorithms and applications
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ICCS
2009
Springer
14 years 4 months ago
Generating Empirically Optimized Composed Matrix Kernels from MATLAB Prototypes
The development of optimized codes is time-consuming and requires extensive architecture, compiler, and language expertise, therefore, computational scientists are often forced to ...
Boyana Norris, Albert Hartono, Elizabeth R. Jessup...
ASAP
2008
IEEE
118views Hardware» more  ASAP 2008»
14 years 4 months ago
Bit matrix multiplication in commodity processors
Registers in processors generally contain words or, with the addition of multimedia extensions, short vectors of subwords of bytes or 16-bit elements. In this paper, we view the c...
Yedidya Hilewitz, Cédric Lauradoux, Ruby B....
CORR
2007
Springer
105views Education» more  CORR 2007»
13 years 9 months ago
Relative-Error CUR Matrix Decompositions
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of “components.” Typically, these components are linear combi...
Petros Drineas, Michael W. Mahoney, S. Muthukrishn...
EMO
2005
Springer
110views Optimization» more  EMO 2005»
14 years 3 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
IPPS
1996
IEEE
14 years 2 months ago
Dag-Consistent Distributed Shared Memory
We introduce dag consistency, a relaxed consistency model for distributed shared memory which is suitable for multithreaded programming. We have implemented dag consistency in sof...
Robert D. Blumofe, Matteo Frigo, Christopher F. Jo...