The Swarm Computer, an analog cellular-swarm hybrid architecture

Ryanne Dolan, G. DeSouza, Daniel P. Caputo
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Abstract

The “killer apps” of cellular and swarm computing are image processing and optimization, respectively; however, applying these platforms to general-purpose computing remains impractical. Designing systems within the restrictive framework of cellular automata is extremely difficult, though often very efficient and scalable. On the other hand, swarm networks are very powerful but difficult to implement in hardware. Here we introduce a hybrid model, the Swarm Computer, which is both practical to program and efficient to implement. Applications in astrophysics and image processing are considered.
蜂群计算机,一个模拟的蜂窝群混合架构
蜂窝计算和群计算的“杀手级应用”分别是图像处理和优化;然而,将这些平台应用于通用计算仍然是不切实际的。在细胞自动机的限制框架内设计系统是非常困难的,尽管通常非常有效和可扩展。另一方面,群网络非常强大,但很难在硬件上实现。本文介绍了一种混合模型,即群计算机,它具有编程实用和实现效率高的特点。考虑了在天体物理学和图像处理中的应用。
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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