Compiler Optimizations for Scalable Parallel Systems Languages, Compilation Techniques, and Run Time Systems

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 hierar...

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Bibliographic Details
Other Authors: Pande, Santosh (Editor), Agrawal, Dharma P. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2001, 2001
Edition:1st ed. 2001
Series:Lecture Notes in Computer Science
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Languages
  • High Performance Fortran 2.0
  • The Sisal Project: Real World Functional Programming
  • HPC++ and the HPC++Lib Toolkit
  • A Concurrency Abstraction Model for Avoiding Inheritance Anomaly in Object-Oriented Programs
  • Analysis
  • Loop Parallelization Algorithms
  • Array Dataflow Analysis
  • Interprocedural Analysis Based on Guarded Array Regions
  • Automatic Array Privatization
  • Communication Optimizations
  • Optimal Tiling for Minimizing Communication in Distributed Shared-Memory Multiprocessors
  • Communication-Free Partitioning of Nested Loops
  • Solving Alignment Using Elementary Linear Algebra
  • A Compilation Method for Communication-Efficient Partitioning of DOALL Loops
  • Compiler Optimization of Dynamic Data Distributions for Distributed-Memory Multicomputers
  • A Framework for Global Communication Analysis and Optimizations
  • Tolerating Communication Latency through Dynamic Thread Invocation in a Multithreaded Architecture
  • Code Generation
  • Advanced Code Generation for High Performance Fortran
  • Integer Lattice Based Methods for Local Address Generation for Block-Cyclic Distributions
  • Task Parallelism, Dynamic Data Structures and Run Time Systems
  • A Duplication Based Compile Time Scheduling Method for Task Parallelism
  • SPMD Execution in the Presence of Dynamic Data Structures
  • Supporting Dynamic Data Structures with Olden
  • Runtime and Compiler Support for Irregular Computations