硬件加速的新型红外系统

M. Weeks, Victoria J. Hodge, J. Austin
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引用次数: 9

摘要

AURA(高级不确定推理体系结构)是一个通用的技术和实现家族,旨在对大型非结构化数据集进行高速近似搜索和匹配操作。本文继续AURA II (Advanced uncertainty Reasoning Architecture)项目对基于PRESENCE (PaRallEl Structured Neural Computing Engine,并行结构化神经计算引擎)硬件架构的分布式二进制相关矩阵存储器(CMM)的研究[14]。以前的工作描述了如何将CMM无缝地实现到多个硬件PRESENCE卡上,以加速核心CMM操作。为了演示该系统,本文描述了如何使用分布在集群中的多个PRESENCE卡实现一种名为MinerTaur的新型基于cmm的信息检索(IR)系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hardware-accelerated novel IR system
AURA (Advanced Uncertain Reasoning Architecture) is a generic family of techniques and implementations intended for high-speed approximate search and match operations on large unstructured datasets. This paper continues the AURA II (Advanced Uncertain Reasoning Architecture) project's research into distributed binary Correlation Matrix Memory (CMM) based upon the PRESENCE (PaRallEl Structured Neural Computing Engine) hardware architecture [14]. Previous work has described how CMMs can be seamlessly implemented onto multiple hardware PRESENCE cards to accelerate core CMM operations. To demonstrate the system, this paper describes how a novel CMM-based information retrieval (IR) system, called MinerTaur, was implemented using multiple PRESENCE cards distributed across a cluster.
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