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Experiments in diffused combinator reduction

机译:扩散组合器还原的实验

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摘要

In recent years there has been a fair amount of interest both in using combinators to represent functional programs, and in using graph reduction as an underlying valuation strategy. Combining these ideas within a single framework for an "applicative architecture" is very appealing because: (1) the normally ubiquitous "environment" is eliminated, (2) the evaluation strategy becomes very simple (amenable to VLSI), and (3) there is a great potential for parallelism. We have been exploring a model of diffused combinator reduction in which the reduction process is distributed "by demand" among a network of closely-coupled processors. We have tested our ideas via simulation, with encouraging results.

This research was supported in part by NSF Grant MCS-8302018 and ONR Grant N00014-84-K-0043.

机译:

近年来,使用组合器表示功能程序,以及使用图形缩减作为基础估值策略都引起了广泛的关注。将这些思想组合到一个“应用架构”的单一框架中非常吸引人,因为:(1)消除了通常无处不在的“环境”,(2)评估策略变得非常简单(适用于VLSI),以及(3)有很大的并行潜力。我们一直在研究扩散组合器缩减模型,在该模型中,缩减过程按需分配在紧密耦合的处理器网络之间。我们已经通过模拟测试了我们的想法,并获得了令人鼓舞的结果。

该研究得到了NSF Grant MCS-8302018和ONR Grant N00014-84-K-0043的部分支持。

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