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CC
2009
Springer
106views System Software» more  CC 2009»
16 years 1 months ago
Blind Optimization for Exploiting Hardware Features
Software systems typically exploit only a small fraction of the realizable performance from the underlying microprocessors. While there has been much work on hardware-aware optimiz...
Dan Knights, Todd Mytkowicz, Peter F. Sweeney, Mic...
NIPS
2008
15 years 8 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
CDC
2010
IEEE
129views Control Systems» more  CDC 2010»
15 years 1 months ago
On optimal input signal design for frequency response estimation
This paper studies optimal input excitation design for parametric frequency response estimation. We will focus on least-squares estimation of Finite Impulse Response (FIR) models a...
Bo Wahlberg, Håkan Hjalmarsson, Petre Stoica
PLDI
1990
ACM
15 years 11 months ago
A Fresh Look at Optimizing Array Bound Checking
- This paper describes techniques for optimizing range checks performed to detect array bound violations. In addition to the elimination of range check:s, the optimizations discuss...
Rajiv Gupta
GECCO
2010
Springer
206views Optimization» more  GECCO 2010»
15 years 10 months ago
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
Particle swarm optimization (PSO) has been in practice for more than 10 years now and has gained wide popularity in various optimization tasks. In the context to single objective ...
Kalyanmoy Deb, Nikhil Padhye