Virtualizing Analog Mesh Computers: The Case of a Photonic PDE Solving Accelerator

Jeff Anderson, Engin Kayraklioglu, H. Imani, M. Miscuglio, V. Sorger, T. El-Ghazawi
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引用次数: 3

Abstract

Innovative processor architectures play a critical role in sustaining performance improvements under severe limitations imposed by feature size and energy consumption. The Reconfigurable Optical Computer (ROC) is one such innovative, Post-Moore’s Law processor. ROC is designed to solve partial differential equations in one shot as opposed to existing solutions, which are based on costly iterative computations. This is achieved by leveraging physical properties of a mesh of optical components that behave similarly to electrical resistances. However, building large photonic arrays to accommodate arbitrarily large problems is not yet feasible. It is also possible to have problems that are smaller than the size of the accelerator array. In both cases, virtualization is necessary. In this work, we introduce an architecture and methodology for light-weight virtualization of ROC. We show that overhead from virtualization is minimal, and our experimental results show two orders of magnitude increased speed as compared to microprocessor execution while keeping errors due to virtualization under 10%.
虚拟模拟网格计算机:光子PDE求解加速器的案例
创新的处理器架构在受特征尺寸和能耗限制的情况下,在保持性能改进方面发挥着关键作用。可重构光学计算机(ROC)就是这样一种创新的后摩尔定律处理器。ROC旨在一次性解决偏微分方程,而不是基于昂贵的迭代计算的现有解决方案。这是通过利用类似于电阻的光学元件网格的物理特性来实现的。然而,建造大型光子阵列来容纳任意大的问题还不可行。也有可能出现比加速器阵列尺寸小的问题。在这两种情况下,虚拟化都是必要的。在这项工作中,我们介绍了ROC轻量级虚拟化的体系结构和方法。我们证明虚拟化的开销是最小的,我们的实验结果表明,与微处理器执行相比,速度提高了两个数量级,同时将虚拟化导致的错误保持在10%以下。
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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