Flux - A Data-Flow Programming Language

被引：0
|
作者：
Ispas, R. [1 ]
Negreanu, L. [2 ]
机构：
[1] RAI Software, Bucharest, Romania
[2] Univ Politehn Bucuresti, Bucharest, Romania
来源：
CONTROL ENGINEERING AND APPLIED INFORMATICS | 2016年 / 18卷 / 01期
关键词：
parallel programming languages; data-flow parallel programming languages; type systems; processes; control systems; neural networks; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The goal of this paper is to establish the design requirements of a programming language enabled to extract the maximum parallelism from source code. The structure of imperative and functional languages are analyzed in regards to parallelism. Next, the data-flow paradigm is introduced. Its major obstacles are identified and solutions are provided based on compile-time analysis. The resulting language should enable wide-scale parallelism, scaling from instruction to cluster.
引用
收藏
页码：107 / 116
页数：10
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