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» Measuring empirical computational complexity
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SIGSOFT
2007
ACM
14 years 5 months ago
Measuring empirical computational complexity
The standard language for describing the asymptotic behavior of algorithms is theoretical computational complexity. We propose a method for describing the asymptotic behavior of p...
Simon Goldsmith, Alex Aiken, Daniel Shawcross Wilk...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
13 years 10 months ago
Towards an empirical measure of evolvability
Genetic representations that do not employ a one-to-one mapping of genotype to phenotype are known as indirect encodings, and can be much more efficient than direct encodings for ...
Joseph Reisinger, Kenneth O. Stanley, Risto Miikku...
MICRO
2003
IEEE
125views Hardware» more  MICRO 2003»
13 years 10 months ago
Runtime Power Monitoring in High-End Processors: Methodology and Empirical Data
With power dissipation becoming an increasingly vexing problem across many classes of computer systems, measuring power dissipation of real, running systems has become crucial for...
Canturk Isci, Margaret Martonosi
SLIP
2003
ACM
13 years 10 months ago
Perimeter-degree: a priori metric for directly measuring and homogenizing interconnection complexity in multilevel placement
In this paper, we describe an accurate metric (perimeter-degree) for measuring interconnection complexity and effective use of it for controlling congestion in a multilevel framew...
Navaratnasothie Selvakkumaran, Phiroze N. Parakh, ...
BMCBI
2007
109views more  BMCBI 2007»
13 years 5 months ago
Computational RNA secondary structure design: empirical complexity and improved methods
Background: We investigate the empirical complexity of the RNA secondary structure design problem, that is, the scaling of the typical difficulty of the design task for various cl...
Rosalía Aguirre-Hernández, Holger H....