'Task decomposition' presentation slideshows

Parallelism Algorithm Design

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John Cavazos Dept of Computer & Information Sciences University of Delaware

John Cavazos Dept of Computer & Information Sciences University of Delaware www.cis.udel.edu/~cavazos/cisc879. Lecture 5 Patterns for Parallel Programming. Lecture 5: Overview. Writing a Parallel Program Design Patterns for Parallel Programs Finding Concurrency Algorithmic Structure

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Crowdsourcing Complexity: Lessons for Software Engineering

Crowdsourcing Complexity: Lessons for Software Engineering. Lydia Chilton 2 June 2014 ICSE Crowdsourcing Workshop. Clarification: Human Computation. Mechanical Turk Microtasks :. 2007: JavaScript Calculator. 2007: JavaScript Calculator. Evolution of Complexity in Human Computation.

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Flexible Reasoning with Functional Models

Flexible Reasoning with Functional Models. J. William Murdock Intelligent Decision Aids Group Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5515 Washington, DC 20375 bill@murdocks.org http://bill.murdocks.org.

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OpenMP for Task Decomposition

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The Design Process

The Design Process. Lecture 9 Date: 2 nd March. Overview. Life-Cycle Models in HCI 4 basic activities in HCI Requirements Design Develop/Build Evaluation. Lifecycle Models. Show how activities are related to each other Lifecycle models are: management tools

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Concurrency in Programming Languages

Concurrency in Programming Languages. Matthew J. Sottile Timothy G. Mattson Craig E Rasmussen. Chapter 9 Objectives. Discuss approaches to identifying and exploiting concurrency in programs. Introduce algorithmic and source code patterns for parallel programming.

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chapter 15

chapter 15. task models. What is Task Analysis?. Methods to analyse people's jobs: what people do what things they work with what they must know. An Example. in order to clean the house get the vacuum cleaner out fix the appropriate attachments clean the rooms

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CENG 394 Introduction to Human-Computer Interaction

CENG 394 Introduction to Human-Computer Interaction. CENG 394 HCI Task Analysis. Focus Analysis. Interaction design driven by what is wanted Analysis of tasks and knowledge informs: functionality and objects offered in interface; organisation (layout, grouping, navigation).

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CMC/CC A Task Analysis

CMC/CC A Task Analysis. Master IK, CIW, MMI L.M. Bosveld-de Smet Hoorcollege 4; ma. 25 sept. 2006; 16.00-18.00. Goals of system engineering. Adequate functionality What tasks and subtasks must be carried out? Task analysis is central! Reliability Standardization

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NERC PER-005 Overview

NERC PER-005 Overview. May 10, 2010. Who, What, When, Where, Why. WHO: RC, TOP, BA WHAT : R1: Systematic Approach to Training R2: Verify operator capabilities R3: EOPs training (change to 12-month, not calendar) R3.1 Simulation Technology WHEN :

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Toward an Integrated Metacognitive Architecture

Toward an Integrated Metacognitive Architecture. Michael T. Cox UMIACS, University of Maryland, College Park. http://xkcd.com/. Why a Metacognitive Architecture?. Why C ognitive Architectures? To better understand the mechanisms of reasoning across tasks To account for human data

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Quicksort Revisited

Quicksort Revisited. Corky Cartwright Vivek Sarkar Department of Computer Science Rice University. Acknowledgments. David Matuszek , UPenn CIT 594 (Programming Languages & Techniques II), Lecture 34, Spring 2003 www.cis.upenn.edu/~matuszek/cit594-2003/.../34-quicksort.ppt.

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Predicting Parallel Performance

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Its About the Mission

Its About the Mission. Mission Definition Joint:

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Parallel Mining of Closed Sequential Patterns

Parallel Mining of Closed Sequential Patterns. Shengnan Cong, Jiawei Han, David Padua Proceeding of the 11th ACM SIGKDD international conference on Knowledge discovery in data mining Chicago, Illinois, USA, 2005 Advisor ? Jia-Ling Koh

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Behaviour Generation Module

Behaviour Generation Module. Presented By: Rajesh Kumar Pandey IIS20120 06 Saikot Majumdar IIS20120 11 Prabhat Soni IIS20120 13. Contents. What is Behaviour Generation? Why is BG required ? How it is being used in RCS Model? BG Functions Architecture Summary.

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Fluid Software : Handling Heterogeneous Many-Core for Programmer Productivity

Fluid Software : Handling Heterogeneous Many-Core for Programmer Productivity. Nate Clark. Heterogeneous Many-Core. Need more performance, have many transitors Power limited ? Efficiency in designs Domain-specific design/many simpler cores. The Biggest Problem: Software.

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