'Flow graphs' presentation slideshows

Compilation 0368-3133 (Semester A, 2013/14)

Compilation 0368-3133 (Semester A, 2013/14). Lecture 11: Data Flow Analysis & Optimizations Noam Rinetzky. Slides credit: Roman Manevich , Mooly Sagiv and Eran Yahav. What is a compiler?.

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Graph-Based Binary Analysis

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Introduction to Compilers

Introduction to Compilers. Ben Livshits. Based in part of Stanford class slides from http ://infolab.stanford.edu /~ ullman/dragon/w06/w06.html . My Lectures. reliability & bug finding. performance. security. Lecture 1 : Introduction to static analysis

590 views • 44 slides

IFLOW: Self-managing distributed information flows

IFLOW: Self-managing distributed information flows. Brian Cooper Yahoo! Research Joint work with colleagues at Georgia Tech: Vibhore Kumar, Zhongtang Cai, Sangeetha Seshadri, Greg Eisenhauer, Karsten Schwan and others. Overview. Motivation Case study: inTransit Architecture

411 views • 38 slides

IFLOW: Self-managing distributed information flows

IFLOW: Self-managing distributed information flows. Brian Cooper Yahoo! Research Joint work with colleagues at Georgia Tech: Vibhore Kumar, Zhongtang Cai, Sangeetha Seshadri, Greg Eisenhauer, Karsten Schwan and others. Overview. Motivation Case study: inTransit Architecture

399 views • 38 slides

Depth-First Ordering Efficiency of Iterative Algorithms Reducible Flow Graphs

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Prof. David R. Jackson Dept. of ECE

ECE 5317-6351 Microwave Engineering. Fall 2011. Prof. David R. Jackson Dept. of ECE. Notes 15. Signal-Flow Graph Analysis. Signal-Flow Graph Analysis. This is a convenient technique to represent and analyze circuits characterized by S -parameters.

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Investigation of flow graphs optimization methods used in optimizing compilers

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Code Optimization Circa 1969

Code Optimization Circa 1969. Flow Graphs Constant Folding Global Common Subexpressions Induction Variables/Reduction in Strength. Jeffrey D. Ullman Stanford University. Dawn of Code Optimization. A never-published Stanford technical report by Fran Allen in 1968 .

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Compiler Construction Lecture 17

Compiler Construction Lecture 17. Mapping Variables to Memory. Original and Target Program have Different Views of Program State. Original program: local variables given by names (any number of them) each procedure execution has fresh space for its variables (even if it is recursive)

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Synthesis, Analysis, and Verification Lecture 09a

Synthesis, Analysis, and Verification Lecture 09a. Abstract Interpretation. Lectures: Viktor Kuncak. Abstract Interpretation. Way to infer properties of e.g. computations Consider assignment: z = x+y Interpreter: Abstract interpreter:. Adding and Multiplying Intervals.

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What is the problem we are solving?

What is the problem we are solving?. How a conference aware participant manipulates media streams at the mixer The client is a UA (in sip) The server is the focus (which directly controls the mixer) Ultimately, we have to render a UI that controls the media flow.

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Lecture 11 Abstract Interpretation on Control-Flow Graphs

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Towards a Calculus for UML-RT Specifications

Towards a Calculus for UML-RT Specifications. Radu Grosu CIS, Upenn, Philadelphia. joint work with M. Broy, B. Selic, Gh. Stefanescu. Motivation.

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Towards a Calculus for UML-RT Specifications

Towards a Calculus for UML-RT Specifications. Radu Grosu CIS, Upenn, Philadelphia. joint work with M. Broy, B. Selic, Gh. Stefanescu. Motivation.

140 views • 8 slides