'Data flow analysis' diaporamas de présentation

Data Flow Analysis

Data Flow Analysis. The material in these slides have been taken from "Lecture Notes in Static Analysis", by Michael I. Schwartzbach . The Dataflow Framework. There exists a general algorithm to extract information from programs. This algorithm solves what we will call dataflow analysis.

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Code Analysis

Code Analysis. Zhengong ( ??? ) 2011-07-27. Agenda. Software Analysis Overview Methodology & Methods Tools Demo Project Candidates & Discussion. Software Analysis for What?. Scenario 1

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Multicores from the Compiler's Perspective A Blessing or A Curse?

Multicores from the Compiler's Perspective A Blessing or A Curse?. Saman Amarasinghe Associate Professor, Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science Computer Science and Artificial Intelligence Laboratory CTO, Determina Inc.

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Analysis of Mission-Critical Systems Using ASIS

Analysis of Mission-Critical Systems Using ASIS. An Interface to the Ada 95 Compilation Environment. Mr. Currie Colket Chair, ACM/SIGAda/ASIS Working Group (ASISWG) Chair, ISO/IEC JTC1/SC22 WG9 ASIS Rapporteur Group (ASISRG) Phone: (703) 242-4561; Email: colket@acm.org

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Finite-State Verification

Finite-State Verification. A quick look at three approaches to FSV. Model Checking Flow Equations Data Flow Analysis FLAVERS. High-Level Architecture of FSV Systems. Property. Property Translator. Property Representation. System. System Model. System Translator. Property Verified.

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Compiler Construction

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Compiler Construction Syntax Analysis

Compiler Construction Syntax Analysis. Goals of parsing. Every Programming language has syntactic rules Decide whether program satisfies syntactic structure Error detection Error recovery Simplification: rules on tokens Build A bstract S yntax T ree. E. E. +. E. num. (. E. ).

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Data Flow Analysis 2 15-411 Compiler Design

Data Flow Analysis 2 15-411 Compiler Design. Nov. 3, 2005. Recall: Data Flow Analysis. A framework for proving facts about program Reasons about lots of little facts Little or no interaction between facts Works best on properties about how program computes Based on all paths through program

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Optimization software for apeNEXT Max Lukyanov, 12.07.05

Optimization software for apeNEXT Max Lukyanov, 12.07.05. apeNEXT : a VLIW architecture Optimization basics Software optimizer for apeNEXT Current work. Generic Compiler Architecture. Front-end: Source Code ? Intermediate Representation (IR) Optimizer: IR ? IR

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CS412/413

CS412/413. Introduction to Compilers and Translators April 12, 1999 Lecture 28: Loops and check removal. Administration. Prelim 2 in 4 days PA 4 due April 28 Reading: Appel 17, Muchnick 7.1-7.4, 14.1, 17.4.3. Loops. Most execution time in most programs is spent in loops: 90/10 is typical

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Data Flow Analysis for Software Prefetching Linked Data Structures in Java

Data Flow Analysis for Software Prefetching Linked Data Structures in Java. Brendon Cahoon Dept. of Computer Science University of Massachusetts Amherst, MA. Kathryn S. McKinley Dept. of Computer Sciences University of Texas at Austin Austin, TX. Motivation.

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Data-Flow Analysis of Program Fragments

Data-Flow Analysis of Program Fragments. Atanas Rountev 1 Barbara G. Ryder 1 William Landi 2 1 Department of Computer Science, Rutgers University 2 Siemens Corporate Research. http://www.prolangs.rutgers.edu. Funded by NSF grants CCR-9501761, CCR-9804065

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Data Abstractions for the Verification of Web Service Compositions

Data Abstractions for the Verification of Web Service Compositions. Loan Approval. Ignoring data affects control flow:. Loan Approval. [amount >= 10000]. [ amount < 10000]. <INVOKE> assess. <INVOKE> approve. [risk != low]. [ risk == low ]. result := yes. Loan Approval.

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Generation of CDFGs from Scheduled and Pipelined Assembly Code

Generation of CDFGs from Scheduled and Pipelined Assembly Code. The 18th International Workshop on Languages and Compilers for Parallel Computing October 20, 2005 David Zaretsky, Gaurav Mittal, Robert Dick, and Prith Banerjee

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Automated Testing of Classes

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A UNIFIED APPROACH TO GLOBAL PROGRAM OPTIMIZATION

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MOPS: an Infrastructure for Examining Security Properties of Software

MOPS: an Infrastructure for Examining Security Properties of Software. Authors : Hao Chen, David Wagner University of California at Berkeley Publish : ACM Computer and Communication Security 02 Presenter : Xingbo Gao. Outline. Problem Definition and Motivation

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CS 201 Compiler Construction

CS 201 Compiler Construction. Lecture 6 Code Optimizations: Constant Propagation & Folding. Constant Propagation & Folding. 1. Use of var replaced by a constant value - propagation . 2. Exp. is evaluated or folded if all of its operands are constants.

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SUDS: An Infrastructure for Creating Bug Detection Tools

SUDS: An Infrastructure for Creating Bug Detection Tools. Eric Larson October 1, 2007 Seattle University. What is SUDS?. SUDS is an infrastructure to facilitate the construction of software bug detection tools. SUDS primarily used to create dynamic bug detection tools.

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