parallel compilation

Linear Partition Model Computation of Data Distribution in Parallel Compilation

并行编译中数据分布的线性划分模式计算

Linear Computation and Data Decomposition Algorithm in Parallel Compilation

并行编译中一种线性数据和计算划分算法

Key Techniques of Parallel Compilation Based on Distributed Memory Systems

基于分布存储系统的并行编译关键技术

New Development of Automatic Parallel Compilation

自动并行编译新技术

Computation partition is one of the most important problems in parallel compilation and optimization .

计算划分问题是并行编译中最为重要的问题之一。

On Regional Scheduling of Parallel Compilation

并行编译中的区域调度问题

In recent years , the developments of automatic parallel compilation technique , including dependence analysis , program transformation , data distribution and redistribution , and scheduling , have gradually made it practically applicable .

近几年来，自动并行编译技术的研究进展，包括在依赖关系分析、程序变换、数据分布和重分布及调度等方面的进展，将自动并行编译进一步推向了实用化。

This paper will discuss the key tech-niques of parallel compilation based on distributed memory systems from four aspects including parallel programming model , code and data distribution , communication optimization and code generation issues . Finally , some problems for fur-ther research are pointed out .

论文并行编程模型、代码和数据分布、通信优化以及代码生成问题四个方面论述了基于分布存储系统的并行编译关键技术并提出了进一步研究所要解决的问题。

Actuality and Trend of Parallel Language and Compilation

并行语言及编译技术现状和发展趋势