'Running times' presentation slideshows

Online Topological Ordering

Online Topological Ordering. Siddhartha Sen , COS 518 11/20/2007. Outline. Problem statement and motivation Prior work (summary) Result by Ajwani et al. Algorithm Correctness Running time Implementation Comparison to prior work Incremental complexity analysis Practical implications

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LECTURE 5: Analysis of Algorithms Efficiency (II)

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Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware

Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware. Phase Ordering. Optimization??. does it really work??. No. of optimizations. O64 = 264 (on last count) JikesRVM = 67. Search space. Consider a hypothetical case where we apply 40 optimizations

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Guy Gueta Tel Aviv University Cormac Flanagan University of California, Santa Cruz

Cartesian Partial-Order Reduction. Guy Gueta Tel Aviv University Cormac Flanagan University of California, Santa Cruz Eran Yahav IBM Watson Mooly Sagiv Tel Aviv University. Thread 2 x2 := 1. Thread n xn := 1. Thread 1 x1 := 1. Motivation.

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Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware

Presented by: Sameer Kulkarni Dept of Computer & Information Sciences University of Delaware. Phase Ordering. Optimization??. does it really work??. No. of optimizations. O64 = 264 (on last count) JikesRVM = 67. Search space. Consider a hypothetical case where we apply 40 optimizations

357 views • 30 slides

MTA Bus Time Implementation & New Applications

MTA Bus Time Implementation & New Applications. Michael Glikin Senior Director Bus Schedules Operations Planning MTA New York City Transit Alla Reddy Senior Director System Data & Research Operations Planning MTA New York City Transit. Background.

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MTA Bus Time Implementation & New Applications

MTA Bus Time Implementation & New Applications. Michael Glikin Senior Director Bus Schedules Operations Planning MTA New York City Transit Alla Reddy Senior Director System Data & Research Operations Planning MTA New York City Transit. Background.

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Algorithms

Algorithms. An algorithm is a well-defined computational procedure that takes a value or set of values, called the input , and produces a value or set of values called the output

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Computer Science 112

Computer Science 112. Fundamentals of Programming II Searching, Sorting, and Complexity Analysis. Things to Desire in a Program. Correctness Robustness Maintainability Efficiency. Measuring Efficiency. Empirical - use clock to get actual running times for different inputs Problems:

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Workshop Ib: Experimental research in practice

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Evaluating the Running Time of a Communication Round over the Internet

Evaluating the Running Time of a Communication Round over the Internet. Omar Bakr Idit Keidar MIT MIT/Technion PODC 2002. Communication Round. Exchange of information from all hosts to all hosts Part of many distributed algorithms, systems

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Performance Evaluation of a Communication Round over the Internet

Performance Evaluation of a Communication Round over the Internet. Omar Bakr Idit Keidar MIT MIT/Technion PODC 2002. Communication Round. Exchange of information from all hosts to all hosts Part of many distributed algorithms, systems

282 views • 20 slides

CS 173: Discrete Mathematical Structures

CS 173: Discrete Mathematical Structures. Cinda Heeren heeren@cs.uiuc.edu Siebel Center, rm 2213 Office Hours: W 12:30-2:30. CS 173 Announcements. Section format has changed. Go. Exams returned in section this week. avg: 64.7 median: 65 std dev: 19.17 max: 100 (x5)

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Running times continued

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CSC263 Tutorial 1

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Running times continued

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Advanced Data Structures and Algorithms

Advanced Data Structures and Algorithms. COSC-600 Lecture notes presentation-3. Running Time Calculations. There are several ways to estimate the running time of a Program. There are many algorithms but to eliminate bad ones some analysis is required.

836 views • 11 slides