'Partial order' presentation slideshows

2.03k views • 171 slides

CPSC 411 Design and Analysis of Algorithms

CPSC 411 Design and Analysis of Algorithms. Set 8: Graph Algorithms Prof. Jennifer Welch Fall 2008. a. c. d. b. e. Adjacency List Representation. b. c. a. b. a. d. e. c. a. d. d. b. c. e. e. b. d. Space-efficient for sparse graphs. a. c. d. b. e.

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Flexible approaches to replicating shared data consistently

Flexible approaches to replicating shared data consistently. Marc Shapiro Joint work with Nishith Krishna and Karthikeyan Bhargavan. Sharing information on a global scale. Enterprise collaboration, business information. Large numbers of users Globally distributed

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Monitoring Partial Order Snapshots

Monitoring Partial Order Snapshots. Joint work with Peter Niebert. Monitoring an interleaving sequence. Assume a model of execution with local events and synchronous communication. Concurrent events are monitored according to some (arbitrary) order. What are global states?

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Operating Systems , 132

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Relations

Relations. Binary Relations. a relation between elements of two sets is a subset of their Cartesian product (of ordered pairs). Note the di ?erence between a relation and a function: in a relation, each a ? A can map to multiple elements in B. Thus, relations are generalizations of functions.

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CPS 170: Artificial Intelligence cs.duke/courses/spring09/cps170/ Planning

Instructor: Vincent Conitzer. CPS 170: Artificial Intelligence http://www.cs.duke.edu/courses/spring09/cps170/ Planning. Planning. We studied how to take actions in the world (search) We studied how to represent objects, relations, etc. (logic) Now we will combine the two!.

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Relations

Relations. Chapter 9. Chapter Summary. Relations and Their Properties n - ary Relations and Their Applications ( not currently included in overheads ) Representing Relations Closures of Relations ( not currently included in overheads ) Equivalence Relations Partial Orderings.

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Partial Ordering Planning

Partial Ordering Planning. Lecture Module 10. Partial Ordering. Any planning algorithm that can place two actions into a plan without specifying which comes first is called a partial-order planner .

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Normal Forms for Context-Free Grammars

Normal Forms for Context-Free Grammars Definition : A symbol X in V ? T is useless in a CFG G=(V, T, P, S) if there does not exist a derivation of the form S ? ? wXy ? * wxy where w, x, y are in T * .

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Muscle development model

Muscle development model Mouse myoblast (muscle) cell line C2C12 induced to undergo myogenic differentiation. mRNA was isolated at : -24 hours, 60 hours, 120 hours, and 168 hours. Size selected fragments of approximately 200nt long for all of the time-points.

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Formal Semantics of Programming Language s

Formal Semantics of Programming Language s. Topic 4: Denotational Semantics. ??? yhq@ecust.edu.cn. Motivation. Operational semantics to IMP is syntax-oriented, which makes it difficult to compare two programs written in different programming languages.

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High Level Design & ESL

High Level Design & ESL. How design cost is driving innovation in system-level designs? Rajesh Gupta University of California, San Diego. FMCAD, Portland, Nov. 17, 2008. mesl . ucsd . edu. My main point. At various time VLSI design has been driven by

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CS 267: Automated Verification Lecture 11: Partial Order Reduction Instructor: Tevfik Bultan

CS 267: Automated Verification Lecture 11: Partial Order Reduction Instructor: Tevfik Bultan. Partial Order Reduction: Main Idea. Statements of concurrently executing threads can generate many different interleavings all these different interleavings are allowable behavior of the program

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Temporal Ordering of Events in the News Domain

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Programming Language Semantics Denotational Semantics

Programming Language Semantics Denotational Semantics. Chapter 5 Part II. Outline. Equivalence of Semantics Complete partial orders and continuous functions. Denotational semantics. A: Aexp ? (??N) B : Bexp ?(??T) C: Com ?(? ? ?) Defined by structural induction.

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Extending Practical Pre-Aggregation for On-Line Analytical Processing

Extending Practical Pre-Aggregation for On-Line Analytical Processing. T. B. Pedersen 1,2 , C. S. Jensen 2 , and C. E. Dyreson 2 1 Center for Health Information Services Kommunedata, www.kmd.dk 2 Nykredit Center for Database Research Department of Computer Science

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Distributed Systems Foundations

Distributed Systems Foundations. Lecture 1. Main Characteristics of Distributed Systems. Independent processors, sites, processes Message passing No shared memory No shared clock Independent failure modes. Distributed System Models.

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Software Verification 1 Deductive Verification

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Mock Objects

Mock Objects. Unit-testing and TDD are challenging. They require some effort to: Write a test for a small functionality Refactor production code and tests External dependencies need to be mocked-up Mocking is not easy. What is mocking.

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