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IEEEPACT
1998
IEEE
15 years 11 months ago
A Matrix-Based Approach to the Global Locality Optimization Problem
Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 10 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
DLOG
2007
15 years 9 months ago
Optimizing Tableau Reasoning in ALC Extended with Uncertainty
Abstract. There has been an increased interest in recent years to incorporate uncertainty in Description Logics (DLs), and a number of proposals have been put forward for modeling ...
Volker Haarslev, Hsueh-Ieng Pai, Nematollaah Shiri
ASPDAC
2008
ACM
122views Hardware» more  ASPDAC 2008»
15 years 8 months ago
Total power optimization combining placement, sizing and multi-Vt through slack distribution management
Power dissipation is quickly becoming one of the most important limiters in nanometer IC design for leakage increases exponentially as the technology scaling down. However, power ...
Tao Luo, David Newmark, David Z. Pan
DAGSTUHL
2007
15 years 8 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys