并发聚合(CA)的经验:实现和编程

A. Chien, W. Dally
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引用次数: 16

摘要

用于大规模并行并发计算机的编程语言需要多访问数据抽象工具。大多数并发的面向对象语言都序列化分层抽象。因此,多级抽象会导致并发性大大降低,即使每个级别只导致少量的序列化。这使得程序员只能选择降低并发性,或者在没有有用抽象级别的情况下工作。没有这些抽象层次会使程序更难编写、理解和调试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experience with Concurrent Aggregates (CA): Implementation and Programming
Programming languages for massively parallel concurrent computers need multi-access data abstraction tools. Most concurrent object-oriented languages serialize hierarchical abstractions. Thus multiple levels of abstraction can result in greatly diminished concurrency, even if each level only causes a tiny amount of serialization. This leaves programmers with the choice of reduced concurrency or working without useful levels of abstraction. Going without these levels of abstraction makes programs more difficult to write, understand, and debug.
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