'Sequential execution' diaporamas de présentation

Unit 1: Java Introduction and Eclipse

Unit 1: Java Introduction and Eclipse. Kirk Scott. 1.1 Java 1.2 Object-Orientation 1.3 UML 1.4 The Eclipse Development Environment. 1.1 Java. Java is an object-oriented programming language. It is important to us because Android programming uses Java.

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Superscalar Processors

Superscalar Processors. Superscalar Execution How it can help Issues: Maintaining Sequential Semantics Scheduling Scoreboard Superscalar vs. Pipelining Example: Alpha 21164 and 21064. Sequential Execution Semantics. Contract: The machine should appear to behave like this.

728 views • 65 slides

Create a Simple Game in Scratch

Create a Simple Game in Scratch. Mike Scott University of Texas at Austin Many Thanks to Barb Ericson of Georgia Tech. Goals. Learn about event handling simple sequential execution loops variables conditionals parallel execution message passing. Game Description.

596 views • 47 slides

Create a Simple Game in Scratch

Create a Simple Game in Scratch. Mike Scott University of Texas at Austin Many Thanks to Barb Ericson of Georgia Tech. Goals. Learn about event handling simple sequential execution loops variables conditionals parallel execution message passing. Game Description.

576 views • 47 slides

Create a Simple Game in Scratch

Create a Simple Game in Scratch. Rochelle Lawrence Jones, Danielle Jones, & Barb Ericson (Georgia Tech) June 2009. Goals. Learn about event handling simple sequential execution loops variables conditionals parallel execution message passing. Game Description.

567 views • 47 slides

Invitation to Computer Science 5 th Edition

Invitation to Computer Science 5 th Edition. Chapter 5 Computer Systems Organization. Objectives. In this chapter, you will learn about: The components of a computer system The Von Neumann architecture Non-Von Neumann architectures. Introduction. Computer organization

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FAST CRITICAL SECTIONS VIA THREAD SCHEDULING FOR FPGA-BASED MULTITHREADED PROCESSORS

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Comparison Under Abstraction for Verifying Linearizability

Comparison Under Abstraction for Verifying Linearizability. Daphna Amit Noam Rinetzky Mooly Sagiv. Tom Reps. Eran Yahav. Tel Aviv University. University of Wisconsin. IBM T.J. Watson Research Center. Verification Challenge. T 2. T n. T 1.

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Control Structures

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Stanford CS 193G Lecture 15: Optimizing Parallel GPU Performance

2010-05-20 John Nickolls. Stanford CS 193G Lecture 15: Optimizing Parallel GPU Performance. Optimizing parallel performance. Understand how software maps to architecture Use heterogeneous CPU+GPU computing Use massive amounts of parallelism Understand SIMT instruction execution

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Towards Automating the Redesign of the Synchronization Skeletons of UPC Programs

Towards Automating the Redesign of the Synchronization Skeletons of UPC Programs. Presenter: Amin Alipour Adviser: Ali Ebnenasir. Motivations. Help developers in automated behavioral debugging, and

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Foundations of Computer Science from Data Manipulation to Theory of Computation

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Data Dependences

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Verifying Serializability Considering Only Sequential Executions

Verifying Serializability Considering Only Sequential Executions. Hagit Attiya (Technion) Work in progress with Noam Rinetzky (Tel-Aviv U & Queen Mary) Ganesan Ramalingam (Microsoft Research India) Eran Yahav (IBM Watson). Transactional Synchronization.

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Parallel Extensions

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Linux Tools

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