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

　　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.

暂缺《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》作者简介

Preface
Introduction
Section I:Languages
Chapter 1.High Performance Fortran 2.0
Chapter 2.The Sisal Project:Real World Functional Programming
Chapter 3.HPC++and the HPC++Lib Toolkit
Chapter 4.A Concurrency Abstraction Model for Avoiding Inheritance Anomaly in Object-Oriented Programs
Section II:Analysis
Chapter 5.Loop Parallelization Algorithms
Chapter 6.Array Dataflow Analysis
Chapter 7.Interprocedural Analysis Based on Guarded Array Regions
Chapter 8.Automatic Array Privatization
Section III:Communication Optimizations
Chapter 9.Optimal Tiling for Minimizing Communication in Distributed Shard-Memory Multiprocessors
Chapter 10.Communication-Free Partitioning of Nested Loops
Chapter 11.Solving Alignment Using Elementary Linear Algebra
Chapter 12.A Compliation Method for Communication-Effciaent Partitioning of DOALL Lops
Chapter 13.Compiler Optimization of Dynamic Data Distributions for Distributed-Memory Culticomputers
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 Generation
Chapter 16.Advanced Code Generation for High Performance Fortran
Chapter 17.Integer Lattice Based Methods for Local Address Generation for Block-Cyclic Distributions
Section V:Taks Parallelism,Dynamic Data Structures and Run Time Systems
Chapter 18.A Duplication Based Complie 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