'Loop fusion' presentation slideshows

Parallel Programming on the SGI Origin2000

Parallel Programming on the SGI Origin2000. Taub Computer Center Technion. Anne Weill-Zrahia. With thanks to Moshe Goldberg, TCC and Igor Zacharov SGI. Mar 2005. Parallel Programming on the SGI Origin2000. Parallelization Concepts SGI Computer Design Efficient Scalar Design

838 views • 68 slides

CMPUT680 - Winter 2006

CMPUT680 - Winter 2006. Topic C: Loop Fusion Kit Barton www.cs.ualberta.ca/~cbarton. Outline. Definition of loop fusion Basic concepts Prerequisites of loop fusion A loop fusion algorithm Example. Loop Fusion. Combine 2 or more loops into a single loop

576 views • 50 slides

Java Programming Fifth Edition

Java Programming Fifth Edition. Chapter 6 Looping. Objectives. Learn about the loop structure Use a while loop Use shortcut arithmetic operators Use a for loop Learn how and when to use a do...while loop. Objectives (continued). Learn about nested loops

839 views • 44 slides

Optimizing Compilers CISC 673 Spring 2009 Dependence Analysis and Loop Transformations

Optimizing Compilers CISC 673 Spring 2009 Dependence Analysis and Loop Transformations. John Cavazos University of Delaware. Lecture Overview. Very Brief Introduction to Dependences Loop Transformations. The Big Picture. What are our goals?

427 views • 42 slides

Larry Wittie Computer Science, StonyBrook University cs.sunysb/~cse502 and ~lw

478 views • 37 slides

442 views • 35 slides

Context

Context. Codesign: Considering HW and SW to generate an efficient system Design productivity gap Task Concurrency management High-level transformations Floating to fixed point conversion Simple loop transformations: Loop permutation (loop interchange) Loop fusion, loop fission

606 views • 32 slides

Run-time code generation in C++ as a foundation for domain-specific optimization

Run-time code generation in C++ as a foundation for domain-specific optimization. Paul Kelly (Imperial College London) Joint work with Olav Beckmann, Alastair Houghton, Michael Mellor, Peter Collingbourne, Kostas Spyropoulos. Greenwich, November 2004. Mission statement.

428 views • 31 slides

Generative Programming

Generative Programming. Generic vs Generative. Generic Programming focuses on representing families of domain concepts Generative Programming also includes the process of creating concrete instances of concepts. Overview. Translator. Generative Component. Finished Configuration.

446 views • 24 slides

Active Library Infrastructure for Multicore Performance

Active Library Infrastructure for Multicore Performance. Paul Kelly Software Performance Optimisation Group Imperial College London http://www.doc.ic.ac.uk/~phjk Joint work with

325 views • 24 slides

SE-3910 Real-time Systems

368 views • 22 slides

Loop Restructuring

Loop Restructuring. Loop unswitching Loop peeling Loop fusion Loop alignment for fusion Loop reversal Loop fission Loop alignment Loop index set splitting Loop interchange Scalar expansion. Unswitching.

435 views • 16 slides

Data Locality & ITs Optimization Techniques

Data Locality & ITs Optimization Techniques. Presented by Preethi Rajaram. CSS 548 Introduction to Compilers Professor Carol Zander Fall 2012 . Why?. Processor Speed - increasing at a faster rate than the memory speed

291 views • 14 slides

Reducing Misses using Compiler Optimizations

Reducing Misses using Compiler Optimizations. McFarling [1989] reduced caches misses by 75% on 8KB direct mapped cache, 4 byte blocks in software Instructions Reorder procedures in memory so as to reduce conflict misses Profiling to look at conflicts(using tools they developed) Data

220 views • 8 slides

Reducing Misses using Compiler Optimizations

Reducing Misses using Compiler Optimizations. McFarling [1989] reduced caches misses by 75% on 8KB direct mapped cache, 4 byte blocks in software Instructions Reorder procedures in memory so as to reduce conflict misses Profiling to look at conflicts(using tools they developed) Data

229 views • 8 slides

Introduction

J. top. I. r i g h t. S1. l e f t. S1. Guard free core. S2. S2. S3. bottom. S3. S4. S4. Compiler Support for Better Memory Utilization in Scientific Code Rob Fowler, John Mellor-Crummey, Guohua Jin, Apan Qasem {rjf, johnmc, jin, qasem}@cs.rice.edu. Introduction

100 views • 1 slides