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» High Performance Matrix Multiplication on Many Cores
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TC
2008
13 years 7 months ago
High-Performance Designs for Linear Algebra Operations on Reconfigurable Hardware
Numerical linear algebra operations are key primitives in scientific computing. Performance optimizations of such operations have been extensively investigated. With the rapid adva...
Ling Zhuo, Viktor K. Prasanna
FPGA
2005
ACM
195views FPGA» more  FPGA 2005»
14 years 1 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
ISPDC
2010
IEEE
13 years 6 months ago
Pretty Good Accuracy in Matrix Multiplication with GPUs
—With systems such as Road Runner, there is a trend in super computing to offload parallel tasks to special purpose co-processors, composed of many relatively simple scalar proc...
Matthew Badin, Lubomir Bic, Michael B. Dillencourt...
FCCM
2005
IEEE
106views VLSI» more  FCCM 2005»
14 years 1 months ago
High-Performance FPGA-Based General Reduction Methods
FPGA-based floating-point kernels must exploit algorithmic parallelism and use deeply pipelined cores to gain a performance advantage over general-purpose processors. Inability t...
Gerald R. Morris, Ling Zhuo, Viktor K. Prasanna
IVC
2008
93views more  IVC 2008»
13 years 7 months ago
A blind source separation-based method for multiple images encryption
Blind source separation (BSS) has been successfully applied to many fields such as communications and biomedical engineering. Its application for image encryption, however, remain...
Qiu-Hua Lin, Fuliang Yin, Tiemin Mei, Hualou Liang