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» Using Machine Learning to Guide Architecture Simulation
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ICS
2009
Tsinghua U.
14 years 2 months ago
Dynamic topology aware load balancing algorithms for molecular dynamics applications
Molecular Dynamics applications enhance our understanding of biological phenomena through bio-molecular simulations. Large-scale parallelization of MD simulations is challenging b...
Abhinav Bhatele, Laxmikant V. Kalé, Sameer ...
JIPS
2006
72views more  JIPS 2006»
13 years 8 months ago
A Feature Selection Technique based on Distributional Differences
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
Sung-Dong Kim
SIGCOMM
2012
ACM
11 years 10 months ago
SP4: scalable programmable packet processing platform
We propose the demonstration of SP4, a software-based programmable packet processing platform that supports (1) stateful packet processing useful for analyzing traffic flows wit...
Harjot Gill, Dong Lin, Lohit Sarna, Robert Mead, K...
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...
CASES
2004
ACM
14 years 1 months ago
Balancing design options with Sherpa
Application specific processors offer the potential of rapidly designed logic specifically constructed to meet the performance and area demands of the task at hand. Recently, t...
Timothy Sherwood, Mark Oskin, Brad Calder