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ISCA
2008
IEEE
137views Hardware» more  ISCA 2008»
15 years 11 months ago
Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
Engin Ipek, Onur Mutlu, José F. Martí...
HICSS
2007
IEEE
151views Biometrics» more  HICSS 2007»
15 years 10 months ago
The Impact of Information Technology on the Temporal Optimization of Supply Chain Performance
The objective of this paper is to suggest a systematic means by which the timing and focus of information technology policies can be used to optimize supply chain performance and ...
Ken Dozier, David Chang
PKC
2000
Springer
120views Cryptology» more  PKC 2000»
15 years 8 months ago
Optimally Efficient Accountable Time-Stamping
Abstract. Efficient secure time-stamping schemes employ a 2-level approach in which the time-stamping service operates in rounds. We say that a time-stamping service is accountable...
Ahto Buldas, Helger Lipmaa, Berry Schoenmakers
IJCAI
2001
15 years 5 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
WSC
2000
15 years 5 months ago
Optimizing production work flow using OpEMCSS
A graphical discrete event simulation library is proposed for system simulation that is based on interacting concurrent processes. This library works with EXTEND (Imagine That Inc...
John R. Clymer