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ICS
1993
Tsinghua U.
15 years 8 months ago
Graph Contraction for Physical Optimization Methods: A Quality-Cost Tradeoff for Mapping Data on Parallel Computers
Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 4 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
ICML
1999
IEEE
16 years 5 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
IEEEPACT
2009
IEEE
15 years 11 months ago
Using Aggressor Thread Information to Improve Shared Cache Management for CMPs
—Shared cache allocation policies play an important role in determining CMP performance. The simplest policy, LRU, allocates cache implicitly as a consequence of its replacement ...
Wanli Liu, Donald Yeung
INFOCOM
2009
IEEE
15 years 11 months ago
Mobility-Driven Scheduling in Wireless Networks
—The design of scheduling policies for wireless data systems has been driven by a compromise between the objectives of high overall system throughput and the degree of fairness a...
Sem C. Borst, Nidhi Hegde, Alexandre Proutiere