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Estimation theory / Parallel computing / Project management / Scalability / Transaction processing / Cluster analysis / Linear regression / Computer cluster / Regression analysis / Statistics / Computing / Econometrics


Measuring Empirical Computational Complexity Simon F. Goldsmith∗ Alex S. Aiken Computer Science Dept.
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Dubrovnik / New York / Washington / DC / Berlin / Copenhagen / London / /

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ACM Press / Duxbury Press / /

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Croatia / United States / United Kingdom / /

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Product Issues / /

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USA Computer Science Dept. Stanford University / /

IndustryTerm

power law fits / post-processing step / information exploration tool / minimal per-workload post-processing / suffix tree algorithm / tricky algorithm / cluster power law fit observations / linear-time algorithm / large systems / depth-first search / power law fit observations / post-processing / cluster accounting / generic and convenient tool / output cluster power law fit / linear search / /

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SET 100 / /

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Joseph Dale / /

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National Science Foundation / UC Berkeley / Stanford University / IEEE Computer Society / /

Person

Matt Harren / Alex S. Aiken / Karl Chen / Armando Solar-Lezama / Robert Johnson / Johnathon Jamison / John Kodumal / Adam Chlipala / Daniel S. Wilkerson California / Jonathan Traupman / Scott McPeak / Jeremy Condit / Jimmy Su / Simon F. Goldsmith∗ Alex / /

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Performance Measures General / realistic model for parallel computation / representative for the cluster SIZE / author / automatic complexity evaluator / cluster representative / representative / programmer / /

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Pentax K-x Digital Camera / implementations / /

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Java / C / Perl / DC / C++ / /

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New York / Manitoba / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

functional programming / clustering algorithm / tricky algorithm / Perl / operating system / Technology of Object-Oriented Languages / Java / suffix tree algorithm / simulation / linear-time algorithm / same algorithm / Parallel Processing / /

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