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» On Reduct Construction Algorithms
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FCCM
2005
IEEE
106views VLSI» more  FCCM 2005»
15 years 10 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
DATE
2002
IEEE
87views Hardware» more  DATE 2002»
15 years 10 months ago
Model Reduction in the Time-Domain Using Laguerre Polynomials and Krylov Methods
We present a new passive model reduction algorithm based on the Laguerre expansion of the time response of interconnect networks. We derive expressions for the Laguerre coefficie...
Yiran Chen, Venkataramanan Balakrishnan, Cheng-Kok...
165
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PAMI
2008
162views more  PAMI 2008»
15 years 4 months ago
Dimensionality Reduction of Clustered Data Sets
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Guido Sanguinetti
IPPS
2000
IEEE
15 years 9 months ago
Reduction Optimization in Heterogeneous Cluster Environments
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-the-shelf processors become cheaper and faster, ...
Pangfeng Liu, Da-Wei Wang
DAC
2008
ACM
16 years 6 months ago
Partial order reduction for scalable testing of systemC TLM designs
A SystemC simulation kernel consists of a deterministic implementation of the scheduler, whose specification is nondeterministic. To leverage testing of a SystemC TLM design, we f...
Sudipta Kundu, Malay K. Ganai, Rajesh Gupta