Distributed Parallel Groebner Bases Computation

Heinz Kredel
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引用次数: 8

Abstract

This paper considers the implementation of parallel Gröbner bases algorithms on distributed memory parallel computers like todays high performance computing clusters (HPC) in the Java computer algebra library (JAS). The implementation of Gröbner bases algorithms is part of the essential building blocks for any computation in algebraic geometry. There are various implementations of these algorithms in procedural programming languages. Our aim is an implementation in a modern object oriented programming language with generic data types, as it is provided by Java programming language. The proposed middle-ware uses a distributed list for the communication of the reduction bases and a distributed thread pool for running the reduction engines in different computers. Java object serialization is used to encode polynomial objects for network transport via Java networking facilities.
分布式并行Groebner基计算
本文考虑了在分布式内存并行计算机上实现并行Gröbner基算法,如今天的Java计算机代数库中的高性能计算集群(HPC)。Gröbner base算法的实现是代数几何中任何计算的基本构建块的一部分。这些算法在过程编程语言中有各种各样的实现。我们的目标是用现代面向对象的编程语言实现泛型数据类型,就像Java编程语言提供的那样。所建议的中间件使用分布式列表来通信简化库,并使用分布式线程池来在不同的计算机上运行简化引擎。Java对象序列化用于对多项式对象进行编码,以便通过Java网络设施进行网络传输。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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