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» Evaluating algorithms that learn from data streams
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101
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FPGA
2005
ACM
195views FPGA» more  FPGA 2005»
15 years 3 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
90
Voted
CGO
2007
IEEE
15 years 2 months ago
Profile-assisted Compiler Support for Dynamic Predication in Diverge-Merge Processors
Dynamic predication has been proposed to reduce the branch misprediction penalty due to hard-to-predict branch instructions. A recently proposed dynamic predication architecture, ...
Hyesoon Kim, José A. Joao, Onur Mutlu, Yale...
100
Voted
IPSN
2011
Springer
14 years 1 months ago
Localising speech, footsteps and other sounds using resource-constrained devices
While a number of acoustic localisation systems have been proposed over the last few decades, these have typically either relied on expensive dedicated microphone arrays and works...
Yukang Guo, Mike Hazas
80
Voted
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 4 months ago
A destructive evolutionary process: a pilot implementation
This paper describes the application of evolutionary search to the problem of Flash memory wear-out. The operating parameters of Flash memory are notoriously difficult to determin...
Joe Sullivan, Conor Ryan
113
Voted
SIGIR
2010
ACM
15 years 2 months ago
Effective music tagging through advanced statistical modeling
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
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