一种可重构细粒度光电处理器模型

A.M. Butrym, N. Craft, D. Guise, M. Murdocca, F. Sauer
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引用次数: 3

摘要

描述了一种基于数据流的处理器模型,在该模型中,用高级语言编写的程序直接映射到硬件。其概念是重新配置处理元素(pe)数组之间的互连网络,以匹配由数据流图表示的计算的自然形式。pe之间的通信使用自由空间互连进行光处理。一组垂直腔面发射激光器(VCSELs)专用于PE的每个输出端口,对应于数据流图中的弧。vcsel的输出通过可重构的光置换网络成像,该网络将光束重定向到目的地。这种光学和电子学的结合可以支持细粒度的并行,同时平衡通信时间和计算时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A model for a reconfigurable fine-grained optoelectronic processor
A model for a dataflow based processor is described in which a program written in a high level language is mapped directly to hardware. The concept is to reconfigure the interconnection network among an array of processing elements (PEs) to match the natural form of a computation, as represented by a dataflow graph. Communication among PEs is handled optically using free-space interconnects. A group of vertical cavity surface emitting lasers (VCSELs) is dedicated to each output port of a PE, which corresponds to an arc in a dataflow graph. Outputs of the VCSELs are imaged through a reconfigurable optical permutation network that redirects beams to their destinations. This combination of optics and electronics may support fine-grained parallelism while balancing time spent in communication with time spent in computation.<>
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