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CGO
2007
IEEE
14 years 2 months ago
Iterative Optimization in the Polyhedral Model: Part I, One-Dimensional Time
Emerging microprocessors offer unprecedented parallel computing capabilities and deeper memory hierarchies, increasing the importance of loop transformations in optimizing compile...
Louis-Noël Pouchet, Cédric Bastoul, Al...
CLOUDCOM
2010
Springer
13 years 6 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
CADE
2006
Springer
14 years 9 months ago
Inferring Network Invariants Automatically
Abstract. Verification by network invariants is a heuristic to solve uniform verification of parameterized systems. Given a system P, a network invariant for P is that abstracts th...
Olga Grinchtein, Martin Leucker, Nir Piterman
IEEEPACT
2009
IEEE
14 years 3 months ago
Automatic Tuning of Discrete Fourier Transforms Driven by Analytical Modeling
—Analytical models have been used to estimate optimal values for parameters such as tile sizes in the context of loop nests. However, important algorithms such as fast Fourier tr...
Basilio B. Fraguela, Yevgen Voronenko, Markus P&uu...
ISCAS
2005
IEEE
133views Hardware» more  ISCAS 2005»
14 years 2 months ago
Multiobjective VLSI cell placement using distributed simulated evolution algorithm
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Sadiq M. Sait, Ali Mustafa Zaidi, Mustafa I. Ali