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Matrix computing coprocessor for an embedded system

机译:嵌入式系统的矩阵计算协处理器

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摘要

Matrix computing based on software, particularly floating point matrix computing, is slow and often becomes a problem in overall embedded systems. A matrix computing coprocessor (MCC) is developed in this study to improve the performance of matrix computing. The proposed MCC, which is an application-specific instruction set processor for the construction of a high-performance embedded system, can independently implement the entire algorithm, including floating point matrix computing. A good definition matrix operation instruction set is also presented. A single floating-point MCC and an embedded system with the MCC are implemented. Experimental results show that the proposed MCC exhibits high performance and has excellent flexibility and good application prospect. (C) 2015 Elsevier B.V. All rights reserved.
机译:基于软件的矩阵计算,特别是浮点矩阵计算,速度很慢,并且经常成为整个嵌入式系统的问题。在这项研究中,开发了矩阵计算协处理器(MCC)以提高矩阵计算的性能。拟议的MCC是用于构建高性能嵌入式系统的专用指令集处理器,可以独立实现包括浮点矩阵计算在内的整个算法。还提出了一个良好定义的矩阵运算指令集。实现了单个浮点MCC和具有MCC的嵌入式系统。实验结果表明,所提出的MCC具有较高的性能,具有很好的柔韧性和良好的应用前景。 (C)2015 Elsevier B.V.保留所有权利。

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