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ASPLOS
2006
ACM
13 years 11 months ago
Efficiently exploring architectural design spaces via predictive modeling
Architects use cycle-by-cycle simulation to evaluate design choices and understand tradeoffs and interactions among design parameters. Efficiently exploring exponential-size desig...
Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R...
ERSA
2010
182views Hardware» more  ERSA 2010»
13 years 5 months ago
Integrating Application Specification and Performance Prediction for Strategic Design-Space Exploration
Abstract--Modeling environments and performance prediction boost application productivity, but often lack integration into an efficient and comprehensive approach to strategic desi...
Brian Holland, Alan D. George, Herman Lam
NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 2 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
DAC
1999
ACM
14 years 8 months ago
Power Efficient Mediaprocessors: Design Space Exploration
We present a framework for rapidly exploring the design space of low power application-specific programmable processors (ASPP), in particular mediaprocessors. We focus on a catego...
Johnson Kin, Chunho Lee, William H. Mangione-Smith...
ASAP
2010
IEEE
185views Hardware» more  ASAP 2010»
13 years 7 months ago
ImpEDE: A multidimensional design-space exploration framework for biomedical-implant processors
Abstract—The demand for biomedical implants keeps increasing. However, most of the current implant design methodologies involve custom-ASIC design. The SiMS project aims to chang...
Dhara Dave, Christos Strydis, Georgi Gaydadjiev