'Intermediate representation' presentation slideshows

Instruction Selection Presented by Huang Kuo-An, Lu Kuo-Chang Subproject 3

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

Compilation 0368-3133 (Semester A, 2013/14). Lecture 7 : Intermediate Representation (Target Architecture Agnostic Code Generation) Noam Rinetzky. Slides credit: Roman Manevich , Mooly Sagiv and Eran Yahav. Admin. Mobiles . What is a Compiler?.

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Epitomic representations in Computer Vision

Dr. Alessandro Perina. Epitomic representations in Computer Vision. Summary. Epitome Video (3 dimensional) Epitome HIV (1 dimensional) Epitome Epitomic location recognition Features Epitome Epitomic priors ( Layered Epitome ) Probabilistic index maps and Stel models

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8. Code Generation

8. Code Generation. Generate executable code for a target machine that is a faithful representation of the semantics of the source code

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Typing Local Control and State Using Flow Analysis

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Generating GPU-Accelerated Code From a High-level Domain-specific Language

Generating GPU-Accelerated Code From a High-level Domain-specific Language. Graham Markall Software Performance Optimisation Group Imperial College London http://www.doc.ic.ac.uk/~grm08 Joint work with David Ham and Paul Kelly. October 2009. TexPoint fonts used in EMF.

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MauveDB: Supporting Model-based User Views in Database Systems

MauveDB: Supporting Model-based User Views in Database Systems. Amol Deshpande, University of Maryland Samuel Madden, MIT. RFID. Distributed measurement networks (e.g. GPS). Wireless sensor networks. Industrial Monitoring. Motivation.

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Chap. 10, Intermediate Representations

Chap. 10, Intermediate Representations. J. H. Wang Dec. 27, 2011. Outline. Overview Java Virtual Machine Static Single Assignment Form. Overview. Ch.7: AST Ch.8-9: Semantic analysis Ch.10: Intermediate representation Ch.11: Code generation for a virtual machine Ch.12: Runtime support

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Chapter 1. Introduction

Chapter 1. Introduction. Outline. Language Processors The Structure of a Compiler The Evolution of Programming Languages Why study principle of programming languages. Language Processors. A compiler. source program. Compiler. target program. Running the target program. Target Program.

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AUTOMATIC GENERATION OF CODE OPTIMIZERS FROM FORMAL SPECIFICATIONS

AUTOMATIC GENERATION OF CODE OPTIMIZERS FROM FORMAL SPECIFICATIONS. Vineeth Kumar Paleri. Regional Engineering College, calicut Kerala, India. (Currently, Visiting Assistant Professor, Dept. Computer and Information Science, IUPUI). Code Optimization ( Transformation ): Introduction.

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Chapter 1. Introduction

Chapter 1. Introduction. Outline. Language Processors The Structure of a Compiler The Evolution of Programming Languages Why study principle of programming languages. Language Processors. A compiler. source program. Compiler. target program. Running the target program. Target Program.

359 views • 26 slides

Chemistry Studio: An Intelligent Tutoring System (Natural Language Component)

Chemistry Studio: An Intelligent Tutoring System (Natural Language Component). Ankit Kumar (Y8088) Abhishek Kar (Y8021 ) Mentors: Dr. Sumit Gulwani (MSR, Redmond) Dr. Ashish Tiwari (SRI Intl.) Dr. Amey Karkare ( IIT Kanpur). Introduction.

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Instrumentation with Relocatable Program Code

Instrumentation with Relocatable Program Code. Tugrul Ince Department of Computer Science University of Maryland, College Park, MD 20742. Code Patching. void BZ2_blockSort ( EState * s ) {. UInt32* ptr = s-> ptr ; UChar * block = s->block; UInt32* ftab = s-> ftab ;

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Compiler Design

Compiler Design. Preliminaries Required. Basic knowledge of programming languages. Basic knowledge of FSA and CFG. Knowledge of a high programming language for the programming assignments. Textbook: Alfred V. Aho, Ravi Sethi, and Jeffrey D. Ullman,

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ECE1724F Compiler Primer

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Hardware vs. software solution

Hardware vs. software solution. Many high-performance applications can ONLY be realized in hardware The overhead introduced by executing code on a general-purpose processor prevents a software solution in many real-time applications

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Flex Compiler

Flex Compiler. Compiler Case Study By Mee Ka Chang. FLEX is a product of the Program Analysis and Compilation Group at MIT. Current Team Martin Rinard C. Scott Ananian Chandrasekhar Boyapati Brian Demsky Viktor Kuncak Patrick Lam Darko Marinov Alex Salcianu Karen Zee

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GLSlang compiler

GLSlang compiler. GLSlang Front-End. GL Shading Language compiler front end developed by 3DLabs. Redistribution and use in source and binary forms, with or without modification, are permitted. Ready to build on Linux and Windows Windows ? Requires Visual Studio .NET

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