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MICRO
2006
IEEE
127views Hardware» more  MICRO 2006»
14 years 3 months ago
A Predictive Performance Model for Superscalar Processors
Designing and optimizing high performance microprocessors is an increasingly difficult task due to the size and complexity of the processor design space, high cost of detailed si...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
AOSD
2009
ACM
14 years 8 days ago
Modular verification of dynamically adaptive systems
Cyber-physical systems increasingly rely on dynamically adaptive programs to respond to changes in their physical environment; examples include ecosystem monitoring and disaster r...
Ji Zhang, Heather Goldsby, Betty H. C. Cheng
AI
1998
Springer
13 years 9 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
14 years 3 months ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung
PVM
2000
Springer
14 years 1 months ago
Runtime Checking of Datatype Signatures in MPI
Abstract. The MPI standard provides a way to send and receive complex combinations of datatypes (e.g., integers and doubles) with a single communication operation. The MPI standard...
William Gropp