'Data dependence' presentation slideshows

File Systems and Databases

Chapter 1. File Systems and Databases. Prof. Sin-Min Lee Dept. of Computer Science. Introducing the Database. Major Database Concepts Data and information Data - Raw facts Information - Processed data Data management Database Metadata Database management system (DBMS).

851 views • 46 slides

Designing Parallel Programs

Designing Parallel Programs. David Rodriguez-Velazquez CS-6260 Spring-2009 Dr. Elise de Doncker. Manual vs. Automatic Parallelization. Designing and developing parallel programs has been a very MANUAL process. The programmer is responsible for both: Identifying & Implementing parallelism

616 views • 44 slides

Data Dependences and Parallelization

Data Dependences and Parallelization . Agenda. Introduction Single Loop Nested Loops Data Dependence Analysis. Motivation. DOALL loops: loops whose iterations can execute in parallel New abstraction needed Abstraction used in data flow analysis is inadequate

603 views • 40 slides

Data Dependence in Combining Classifiers

Data Dependence in Combining Classifiers. Mohamed Kamel PAMI Lab University of Waterloo. Outline. Introduction Data Dependence Implicit Dependence Explicit Dependence Feature Based Architecture Training Algorithm Results Conclusions. Introduction. Pattern Recognition Systems

612 views • 40 slides

Unit 1 Introduction to DBMS (Database Management Systems)

455 views • 35 slides

Optimizing Compilers CISC 673 Spring 2011 Gobal Instruction Scheduling

Optimizing Compilers CISC 673 Spring 2011 Gobal Instruction Scheduling. John Cavazos (Ben Perry) University of Delaware. Overview. Introduction Pipelining Instruction Pipeline Pipeline Execution Constraints and Dependences. Current Processors.

472 views • 35 slides

Unit 1 Introduction to DBMS (Database Management Systems)

Application program. End-user. DBMS. Unit 1 Introduction to DBMS (Database Management Systems). Outline of Unit 1. 1.1 Information Systems 1.2 An Overview of a Database System 1.3 An Architecture for a Database System 1.4 Database Technology Trends. 1.1 Information Systems.

512 views • 35 slides

Program Representations

Program Representations. Xiangyu Zhang. Why Program Representations. Initial representations Source code (across languages). Binaries (across machines and platforms). Source code / binaries + test cases. They are hard for machines to analyze. Program Representations.

476 views • 34 slides

Program Representations

Program Representations. Xiangyu Zhang. Why Program Representations. Initial representations Source code (across languages). Binaries (across machines and platforms). Source code / binaries + test cases. They are hard for machines to analyze. Program Representations.

493 views • 34 slides

Optimizing single thread performance

Optimizing single thread performance. Locality and array allocation Dependence Loop transformations. Computer memory hierarchy. Implication: Explore data locality to achieve high performance Make sure that a program has a small footprint (to fix the upper level cache/registers).

475 views • 34 slides

Autovectorization in GCC

Autovectorization in GCC. Dorit Naishlos dorit@il.ibm.com. Vectorization in GCC - Talk Layout. Background: GCC HRL and GCC. Vectorization Background The GCC Vectorizer Developing a vectorizer in GCC Status & Results Future Work Working with an Open Source Community Concluding Remarks.

572 views • 31 slides

Introduction to Instruction Scheduling

466 views • 29 slides

Data Dependence Test

Data Dependence Test. 2006. 5. 15 2006-21165 ???. Introduction. What is data dependence? independent dependent Why is it important?. for i = 1 to 10 do a[i] = a[i+10]+3 endfor. for i = 1 to 10 do a[i] = a[i+1]+3 endfor. Difficult of dependence test. Problem definition

456 views • 27 slides

Computer Architecture

425 views • 25 slides

Computer Architecture Instruction Level Parallelism

Computer Architecture Instruction Level Parallelism. Dr. Esam Al-Qaralleh. Outline. ILP Compiler techniques to increase ILP Loop Unrolling Static Branch Prediction Dynamic Branch Prediction Overcoming Data Hazards with Dynamic Scheduling (Start) Tomasulo Algorithm Conclusion.

412 views • 24 slides

Computer Architecture Instruction Level Parallelism

Computer Architecture Instruction Level Parallelism. Dr. Esam Al-Qaralleh. Outline. ILP Compiler techniques to increase ILP Loop Unrolling Static Branch Prediction Dynamic Branch Prediction Overcoming Data Hazards with Dynamic Scheduling (Start) Tomasulo Algorithm Conclusion.

436 views • 24 slides

OO Verification Research Results

OO Verification Research Results. John Joseph Chilenski Associate Technical Fellow Boeing Commercial Airplanes July 27, 2005. Background. Boeing is conducting a three phase research project into the verification of object-oriented technology (OOT)

362 views • 21 slides

Lecture 7 Instruction Scheduling

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Program Analysis & Transformations

280 views • 20 slides

Chapter 5

Chapter 5. Data Resource Management. I. Why do organizations store data?. Data resources must be structured and organized in some logical manner so they can be accessed, processed, retrieved, and managed easily. Traditional File Processing Problems. 1. Data Redundancy

419 views • 19 slides