A Guidebook to Fortran on Supercomputers - 1st Edition - ISBN: 9780124447608, 9781483265711

A Guidebook to Fortran on Supercomputers

1st Edition

Authors: John M. Levesque Joel W. Williamson
eBook ISBN: 9781483265711
Imprint: Academic Press
Published Date: 28th November 1988
Page Count: 230
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A Guidebook to Fortran on Supercomputers presents in detail both the underlying architecture of supercomputers and the manner by which a compiler maps Fortran code onto that architecture. This book outlines the constructs preventing full optimization and provides specific strategies for restructuring a program.

Organized into four chapters, this book begins with an overview of the basic concepts of vector, scalar, and parallel processing. This text then provides an in-depth look at the architectural features of a variety of existing machines, with emphasis to the features common to many of them. Other chapters consider the optimization techniques used by compilers and how a programmer can take advantage of this knowledge in restructuring existing programs and in the development of new applications. The final chapter presents examples of loops from real-world programs, with a discussion of the inherent problems.

This book is a valuable resource for scientists, engineers, students, and research workers.

Table of Contents


1. Introduction

1.1 Conventional Computers

1.2 What's a Supercomputer Anyway?

1.3 Terminology

1.3.1 Scalar

1.3.2 Vector and Stride

1.3.3 Parallel and Concurrent

1.4 Amdahl's Law

1.4.1 Amdahl's Law for Vector Processors

1.4.2 Amdahl's Law for Parallel Processors

1.5 Summary


2. Supercomputer Architecture

2.1 Basic Features

2.1.1 Clock Cycle and Performance Measures

2.1.2 Registers

2.1.3 Functional Units

2.1.4 Memory Banks

2.1.5 Memory Caches

2.1.6 Instruction Streams and Data Streams

2.1.7 Summary

2.2 The Vector Processor

2.2.1 Memory-to-Memory Vector Processes

2.2.2 ETA 10

2.2.3 Register-to-Register Vector Processes


3. Fortran

3.1 Standard Fortran

3.1.1 Array Layout in Memory

3.2 Compilers

3.2.1 Machine-Independent Optimizations

3.2.2 Machine-Dependent Optimizations

3.3 Vectorization

3.3.1 Explicit Vectorization

3.3.2 Implicit Vectorization


4. Vectorization of Fortran Programs

4.1 Obtaining Timing Statistics

4.1.1 Flow Trace

4.1.2 FORGE Timing Facility

4.1.3 How to Use the Timing Statistics

4.2 Discussion of Amdahl's Law

4.3 Modularity and Optimization

4.3.1 Scalar-Valued Routines versus Array-Valued Routines

4.4 A Systematic Approach to Restructuring

4.4.1 Possible Inaccuracies Caused by Vecto


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© Academic Press 1989
Academic Press
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About the Author

John M. Levesque

Joel W. Williamson

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