可缩放并行系统的编译程序优化：语言、编译技术及运行时间系统 Compiler optimizations azw3 lrf 下载 百度云 夸克云 snb pdf kindle

　　Scalable parallel systems or, more generally, distributed memory systems offer a challenging model of computing and pose fascinating problems regarding compiler optimization, ranging from language design to run time systems. Research in this area is foundational to many challenges from memory hierarchy optimizations to communication optimization.

This unique, handbook-like monograph assesses the state of the art in the area in a systematic and comprehensive way. The 21 coherent chapters by leading researchers provide complete and competent coverage of all relevant aspects of compiler optimization for scalable parallel systems. The book is divided into five parts on languages, analysis, communication optimizations, code generation, and run time systems. This book will serve as a landmark source for education, information, and reference to students, practitioners, professionals, and researchers interested in updating their knowledge about or active in parallel computing.

Preface

Santosh Pande and Dharma P.Agrawal

Introduction

Santosh Pande and Dharma P.Agrawal

1　Compiling for Distributed Memory Multiprocessors

　1.1 Motivation

　1.2 Complexity

　1.3 Outline of the Monograph

　1.4 Future Directions

Section I : Languages

　Chapter 1.High Performance Fortran 2.0

　　Ken Kennedy and Charles Koelbel

　　1　Introduction

　　2　History and Overview of HPF

　　3　Data Mapping

　　　3.1 Basic Language Features

　　　3.2 Advanced Topics

　　4　Data Parallelism

　　　4.1 Basic Language Features

　　　4.2 Advanced Topics

　　5　Task Parallelism

　　　5.1 EXTRINSIC Procedures

　　　5.2 The TASK_I~GION Directive

　　6　Input and Output

　　7　Summary and Future Outlook

　Chapter 2.The Sisal Project: Real World Functional Programming

　　Jean-Luc Gaudiot, Tom DeBoni, John Feo, Wim Bohm,

　　Walid Najjar, and Patrick Miller

　　1　Introduction

　　2　The Sisal Language: A Short Tutorial

　　3　An Early Implementation: The Optimizing Sisal Compiler

　　　3.1 Update in Place and Copy Elimination

　　　3.2 Build in Place

　　　3.3 Reference Counting Optimization

　　　3.4 Vectorization

　　　3.5 Loop Fusion, Double Buffering Pointer Swap, and Inversion ..

　　4　Sisal90

　　　4.1 The Foreign Language Interface

　　5　A Prototype Distributed-Memory SISAL Compiler

　　　5.1 Base Compiler

　　　5.2 Rectangular Arrays

　　　5.3 Block Messages

　　　5.4 Multiple Alignment

　　　5.5 Results

　　　5.6 Further Work

　　6　Architecture Support for Multithreaded Execution

　　　6.1 Blocking and Non-blocking Models

　　　6.2 Code Generation

　　　6.3 Summary of Performance Results

　　7　Conclusions and Future Research

　Chapter 3.HPC++ and the HPC++Lib Toolkit

　　Dennis Gannon, Peter Beckman, Elizabeth Johnson, Todd Green,and Mike Levine

　　1　Introduction

　　2　The HPC++ Programming and Execution Model

　　　2.1 Level 1 HPC++

　　　2.2 The Parallel Standard Template Library

　　　2.3 Parallel Iterators

　　　2.4 Parallel Algorithms

　　　2.5 Distributed Containers

　　3　A Simple Example: The Spanning Tree of a Graph

　　4　Multi-threaded Programming

　　　4.1 Synchronization

　　　4.2 Examples of Multi-threaded Computations

　　5　Implementing the HPC++ parallel Loop Directives

　　……

　Chapter 4.A Concurrency Abstraction Model for Avoiding Inheritance Anomaly in Object-Oriented Programs

Sectio II:Analysis

　Chapter 5.Loop Parallelization Algorithms

　Chapter 6.Array Dataflow Analysis

　Chapter 7.Interprocedural Analysis Based on Guarded Array Regins

　Chapter 8.Automatic Array Privatization

Section III:Communication Optimizations

　Chapter 9.Optimal Tilling for Minimizing Communication in Distributed Shared-Memory Multiprocessors

　Chapter 10.Communication-Free Partitioning of Nested Loops

　Chapter 11.Solving Alignment Using Elementary Linear Algebra

　Chapter 12.A Compilation Method for Communication-Efficient Partitioning of DOALL Loops

　Chapter 13.Compiler Optimization of Dynamic Data Distribution for Distributed-Momory Multicomputers

　Chapter 14.A Framework for Global Communication Analysis and Optimizations

　Chapter 15.Tolerating Communication Latency through Dynamic Thread Invocation in a Multithreaded Architecture

Section IV:Code Genertion

　Chapter 16.Advanced Code Generation for High Performance Fortran　

　Chapter 17.Integer Lattice Based Methods for Local Address Generation for Block-Cyclic Disributions

Section V:Task Parallelism,Dynamic Data Structures and Run Time Systems

　Chapter 18.A Duplication Based Compile Time Scheduling Method for Task Parallelism

　Chapter 19.Spmd Execution in the Presence of Dynamic Data Structures

　Chapter 20.Supporting Dynamic Data Structures with Olden

　Chapter 21.Runtime and Compiler Support for Irregular Computations

Author Index

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书籍介绍

Scalable parallel systems or, more generally, distributed memory systems offer a challenging model of computing and pose fascinating problems regarding compiler optimization, ranging from language design to run time systems. Research in this area is foundational to many challenges from memory hierarchy optimizations to communication optimization.

This unique, handbook-like monograph assesses the state of the art in the area in a systematic and comprehensive way. The 21 coherent chapters by leading researchers provide complete and competent coverage of all relevant aspects of compiler optimization for scalable parallel systems. The book is divided into five parts on languages, analysis, communication optimizations, code generation, and run time systems. This book will serve as a landmark source for education, information, and reference to students, practitioners, professionals, and researchers interested in updating their knowledge about or active in parallel computing.