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SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
14 years 1 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
TOMACS
2002
110views more  TOMACS 2002»
13 years 7 months ago
Rapid model parameterization from traffic measurements
The utility of simulations and analysis heavily relies on good models of network traffic. While network traffic constantly changing over time, existing approaches typically take y...
Kun-Chan Lan, John S. Heidemann
CODES
2006
IEEE
14 years 2 months ago
A multiprocessing approach to accelerate retargetable and portable dynamic-compiled instruction-set simulation
Traditionally, instruction-set simulators (ISS’s) are sequential programs running on individual processors. Besides the advances of simulation techniques, ISS’s have been main...
Wei Qin, Joseph D'Errico, Xinping Zhu
ICANN
2005
Springer
14 years 1 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
ROBOCUP
2001
Springer
126views Robotics» more  ROBOCUP 2001»
14 years 10 days ago
Recognizing Probabilistic Opponent Movement Models
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Patrick Riley, Manuela M. Veloso