'Flow graph' diaporamas de présentation

Program & network properties

Program & network properties. Module 4. Points to be covered. Condition of parallelism(2.1 ACA Kai hwang ) o Data dependence and resource dependence o Hardware and software dependence o The role of compiler Program partitioning and scheduling(2.2 ACA Kai hwang )

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SE 325/425 Principles and Practices of Software Engineering Autumn 2006

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Symbolic Bounds Analysis of Pointers, Array Indices, and Accessed Memory Regions

Symbolic Bounds Analysis of Pointers, Array Indices, and Accessed Memory Regions. Radu Rugina and Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology. Outline. Examples Key Problem: Extracting Symbolic Bounds for Accessed Memory Regions

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9 Computation of the Discrete Fourier Transform

9 Computation of the Discrete Fourier Transform. 9.0 INTRODUCTION 9.1 EFFICIENT COMPUTATION OF THE DISCRETE FOURIER TRANSFORM 9.3 DECIMATION-IN-TIME FFT ALGORITHMS 9.4 DECIMATION-IN-FREQUENCY FFT ALGORITHMS. 9.0 INTRODUCTION.

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Data Flow Analysis 1 15-411 Compiler Design

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Chapter 9. Computation of Discrete Fourier Transform

Chapter 9. Computation of Discrete Fourier Transform. 9.1 Introduction 9.2 Decimation-in-Time Factorization 9.3 Decimation-in-Frequency Factorization 9.4 Application of FFT 9.5 Fast Computation of DCT 9.6 Matrix Approach 9.7 Prime Factor Algorithm. BGL/SNU. 1. Introduction. BGL/SNU.

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CE 40763 Digital Signal Processing Fall 1992 Fast Fourier transform (FFT)

CE 40763 Digital Signal Processing Fall 1992 Fast Fourier transform (FFT). Hossein Sameti Department of Computer Engineering Sharif University of Technology. Motivation.

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LEACH

Week 11 Lecture 2. LEACH. Outline . Preface. Problem Definition. LEACH Assumptions. LEACH Protocol Architecture. Determining Cluster Head nodes. Set-up phase. Steady State phase. LEACH Protocol Variations (LEACH-C, LEACH-F). Simulations of LEACH. Conclusion. References.

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475 views • 33 slides

Lattice-Theoretic Formulation Meet-Over-Paths Solution Monotonicity/ Distributivity

Data-Flow Frameworks. Lattice-Theoretic Formulation Meet-Over-Paths Solution Monotonicity/ Distributivity. Jeffrey D. Ullman Stanford University. Data-Flow Analysis Frameworks. Generalizes and unifies the DFA examples from previous slide set. Important components :

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Thread Warping: A Framework for Dynamic Synthesis of Thread Accelerators

Thread Warping: A Framework for Dynamic Synthesis of Thread Accelerators. Frank Vahid Dept. of CS&E University of California, Riverside Also with the Center for Embedded Computer Systems, UC Irvine. Greg Stitt Dept. of ECE University of Florida.

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CS 201 Compiler Construction

CS 201 Compiler Construction. Lecture 2 Control Flow Analysis. What is a loop ?. A subgraph of CFG with the following properties: Strongly Connected : there is a path from any node in the loop to any other node in the loop; and

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???????????????. ??????????????????? ???????????????????????????????????? ??????????????? ???????????????????????? ??????? ? ???????????. Testing phases. The defect testing process. Black-box testing. Equivalence partitioning. Equivalence partitioning.

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Exploring the Query-Flow Graph with a Mixture Model for Query Recommendation

Exploring the Query-Flow Graph with a Mixture Model for Query Recommendation. Lu Bai , Jiafeng Guo , Xueqi Cheng, Xiubo Geng , Pan Du. Institute of Computing Technology , CAS. Outline. Introduction Our approach Experimental results Conclusion & Future work. Introduction.

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Dead Code Elimination

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White Box Testing

White Box Testing. by : Andika Bayu H. Introduction. White Box Testing or Glass Box Testing Test case design method that uses the control structure of the procedural design to derive test cases SW Engineer can derive test cases that

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Target code Generation

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Dominators and CFGs

Dominators and CFGs. Taken largely from University of Delaware Compiler Notes. Dominators. Node (basic block) D in a CFG dominates node N if every path from the start node to N goes through D. We say that node D is a dominator of node N.

239 views • 10 slides