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FPGA
2005
ACM
195views FPGA» more  FPGA 2005»
15 years 9 months ago
Sparse Matrix-Vector multiplication on FPGAs
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
Ling Zhuo, Viktor K. Prasanna
164
Voted
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
143
Voted
DATE
2008
IEEE
138views Hardware» more  DATE 2008»
15 years 10 months ago
Functional Self-Testing for Bus-Based Symmetric Multiprocessors
Functional, instruction-based self-testing of microprocessors has recently emerged as an effective alternative or supplement to other testing approaches, and is progressively adop...
Andreas Apostolakis, Dimitris Gizopoulos, Mihalis ...
154
Voted
CAIP
2009
Springer
200views Image Analysis» more  CAIP 2009»
15 years 10 months ago
Real-Time Stereo Vision: Making More Out of Dynamic Programming
Abstract. Dynamic Programming (DP) is a popular and efficient method for calculating disparity maps from stereo images. It allows for meeting real-time constraints even on low-cos...
Jan Salmen, Marc Schlipsing, Johann Edelbrunner, S...
145
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PLDI
2004
ACM
15 years 8 months ago
Fast searches for effective optimization phase sequences
It has long been known that a fixed ordering of optimization phases will not produce the best code for every application. One approach for addressing this phase ordering problem ...
Prasad Kulkarni, Stephen Hines, Jason Hiser, David...