Last edited by Malagami
Wednesday, July 29, 2020 | History

6 edition of Loop Tiling for Parallelism found in the catalog.

Loop Tiling for Parallelism

by Jingling Xue

  • 98 Want to read
  • 2 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Compilers & interpreters,
  • Data capture & analysis,
  • Parallel Processing,
  • Science/Mathematics,
  • Loop tiling (Computer science),
  • Computers,
  • Computers - General Information,
  • Parallel processing (Electronic computers),
  • Parallel processing (Electroni,
  • Management Information Systems,
  • Data Processing - Parallel Processing,
  • General,
  • Word Processing - General,
  • Computers / Computer Architecture,
  • Distributed processing,
  • Electronic data processing

  • Edition Notes

    SeriesThe International Series in Engineering and Computer Science
    The Physical Object
    FormatHardcover
    Number of Pages280
    ID Numbers
    Open LibraryOL9706490M
    ISBN 100792379330
    ISBN 109780792379331

    1. We show how tiling affects the parallelism attributes of a loop nest. We prove these properties from data dependence information. 2. We introduce a new parallelism-aware tiling algorithm and show that it performs significantly better than existing techniques. 3. We discuss tiling-related issues in a parallelizing compiler: load balancing. In compiler theory, loop optimization is the process of increasing execution speed and reducing the overheads associated with plays an important role in improving cache performance and making effective use of parallel processing capabilities. Most execution time of a scientific program is spent on loops; as such, many compiler optimization techniques have been .

    Instruction Level Parallelism Pipelining can overlap the execution of instructions when they are independent of one another. This potential overlap among instructions is called instruction-level parallelism (ILP) since the instructions can be evaluated in parallel.. The amount of parallelism available within a basic block (a straight-line code sequence with no branches in and out . The Paperback of the Classical Loop-in-Loop Chains: And Their Derivatives by J.R. Smith at Barnes & Noble. FREE Shipping on $35 or more! ThiS is not only a book of instruction in chainmaking but it is also a work celebrating man's continuous creativity over thousands of years. loop tiling for parallelism. phase locked loops. book by.

    Loop Parallelism Welcome to Module 3, and congratulations on reaching the midpoint of this course! It is well known that many applications spend a majority of their execution time in loops, so there is a strong motivation to learn how loops can be sped up through the use of parallelism, which is the focus of this module. Search result for jinliang-xie: Nanomedicine(), Xin HSK Kaoshi Xilie: 4 Ji Cihui Jingjiang Jinglian(), Loop Tiling for Parallelism(), Sheng Jing Dian Gu CI Dian =(), Nanomedicine(), Makesi Zhu Yi Zhe Xue DAO Lun(), etc books - Free Download ebooks.


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Loop Tiling for Parallelism by Jingling Xue Download PDF EPUB FB2

The main motivation for this extension is to improve the handling of more general forms of specifications we see today, e.g., with loop tiling, pipelining, and Author: Jingling Xue.

A technique to restructure nested loops for parallel machines is discussed. This monograph focuses on the use of loop tiling for minimizing synchronization and communication cost and maximizing parallelism. The author does not consider other kinds of loop transformation or optimizing for cache locality.

The book is organized into three parts. Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy. This book explores the use of loop tiling for reducing communication cost and improving parallelism for distributed memory machines.

The author provides mathematical foundations, investigates loop permutability in the framework of. Alejandro Duran, Larry Meadows, in High Performance Parallelism Pearls, Optimize the memory hierarchy.

To improve locality and reuse particles more efficiently for every i-loop iteration, we utilize a well-known Loop Tiling for Parallelism book called loop ically, we tiled the i- and j-loops with square tiles of particles of size tile is assigned to a thread and if the tile size is. Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy.

This book explores the use of loop tiling for reducing communication cost and improving parallelism for distributed memory cturer: Springer.

Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy. This book explores the use of loop tiling for reducing communication cost and improving parallelism for distributed memory Jinglingxue.

Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy.

This book explores the use of loop tiling for reducing communication cost and improving parallelism for Brand: Springer US. Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy. This book explores the use of loop tiling for reducing communication cost and improving parallelism for distributed memory machines.

Parallelepiped Tiling Why Parallelepiped Tiling. Legality Test Tile Dependences and Tile Space Graph Tiled Code Decomposition of Parallelepiped Tiling Yet Another Tiling Model Loop Partitioning v.

Loop Tiling --Part III Tiling for Distributed-Memory Machines Throughout the book, theorems and algorithms are illustrated with numerous examples and diagrams. The techniques presented in Loop Tiling for Parallelism can be adapted to work for a cluster of workstations, and are also directly applicable to shared-memory machines once the machines are modeled as BSP (Bulk Synchronous Parallel) machines.

Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy. This book explores the use of loop tiling for reducing communication cost and improving parallelism for Price: $ Overview. Loop tiling partitions a loop's iteration space into smaller chunks or blocks, so as to help ensure data used in a loop stays in the cache until it is reused.

The partitioning of loop iteration space leads to partitioning of large array into smaller blocks, thus fitting accessed array elements into cache size, enhancing cache reuse and eliminating cache size requirements. Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy.

This book explores the use of loop tiling for reducing communication cost and improving parallelism for distributed memory machines. The author provides mathematical foundations, investigates loop.

Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy. This book explores the use of Loop tiling for reducing communication cost and improving parallelism for distributed memory machines.

The author provides mathematical foundations, investigates Loop permutability in the framework of. many forms of loop tiling, which can improve cache line uti-lization and avoid false sharing [16, 37, 36], as well as in-crease the granularity of concurrency.

For many codes, the most dramatic locality improvements occur with time tiling, i.e., tiling that spans multiple itera-tions of an outer time-step loop.

In some cases, the degreeFile Size: KB. Loop-level parallelism is a form of parallelism in software programming that is concerned with extracting parallel tasks from opportunity for loop-level parallelism often arises in computing programs where data is stored in random access data a sequential program will iterate over the data structure and operate on indices one at a time, a program.

The parallelization improving algorithm maximizes the degree of parallelism within a loop nest, at either a coarse or fine granularity. The locality improving algorithm uses the same theory, and also reuse information about array accesses within loop nests, to guide the transformation process.

On the Scalability of Loop Tiling Techniques David G. Wonnacott Haverford College Haverford, PA [email protected] Michelle Mills Strout Colorado State University Fort Collins, CO [email protected] Abstract—The challenge of extreme scale computing will test the limits of our ability to scale computational infrastruc-ture.

Data parallelism achieves this, and all programming models used for examples in this book support data parallelism. Data parallelism is a general term that actually applies to any form of parallelism in which the amount of work grows with the size of the problem.

Almost all of the patterns discussed in this book, as well as the task models. Parallelepiped tiling uses parallelepipeds of a given size and shape to partition the iteration space. By using parallelepipeds rather than merely rectangles or squares, parallelepiped tiling offers more opportunities for exposing parallelism, improving locality and.

Tiling is a widely used loop transformation for exposing/- exploiting parallelism and data locality. High-performance implementations use multiple levels of tiling to exploit the hierarchy of.Microprocessor Theory and Applications with / and Pentium - Ebook written by M.

Rafiquzzaman. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Microprocessor Theory and Applications with / and Pentium.Abstract: Loop tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality in modern computer architecture.

It is mainly divided into two categories: fixed and parameterized. These two types of tiling technologies are systematically summarized and their advantages and disadvantages are analyzed : Liu Song, Wu Weiguo, Zhao Bo, Jiang Qing.