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DAC
1998
ACM
14 years 6 months ago
Computational Kernels and their Application to Sequential Power Optimization
Luca Benini, Giovanni De Micheli, Antonio Lioy, En...
RIVF
2008
13 years 7 months ago
Simple but effective methods for combining kernels in computational biology
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori ...
IPPS
2007
IEEE
14 years 2 days ago
Memory Optimizations For Fast Power-Aware Sparse Computations
— We consider memory subsystem optimizations for improving the performance of sparse scientific computation while reducing the power consumed by the CPU and memory. We first co...
Konrad Malkowski, Padma Raghavan, Mary Jane Irwin
NIPS
2003
13 years 7 months ago
Sequential Bayesian Kernel Regression
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
Jaco Vermaak, Simon J. Godsill, Arnaud Doucet
IPPS
2007
IEEE
14 years 2 days ago
An Architectural Framework for Automated Streaming Kernel Selection
Hardware accelerators are increasingly used to extend the computational capabilities of baseline scalar processors to meet the growing performance and power requirements of embedd...
Nikolaos Bellas, Sek M. Chai, Malcolm Dwyer, Dan L...