CAPE-VLSI实现的一种收缩处理器阵列:架构、设计与测试

N. D. Hemkumar, K. Kota, Joseph R. Cavallaro
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引用次数: 6

摘要

奇异值分解(SVD)是一种重要的矩阵分解方法,被广泛应用。由于SVD对矩阵的病态或秩不足不敏感,因此具有较好的数值稳定性。然而,奇异值分解是计算密集型的。CORDIC阵列处理器元件(CAPE)是Brent-Luk-VanLoan收缩阵列处理器元件的单芯片VLSI实现,用于计算实矩阵的SVD。该阵列利用CORDIC(坐标旋转数字计算机)算法在硬件上进行矢量旋转和正切逆计算。该处理器的六芯片原型已经使用MOSIS制造服务作为TinyChips实现。从原型设计中获得的经验有助于集成单片版本的设计。该芯片已在5600*6900亩的芯片上实现,采用2亩n阱可扩展的CMOS工艺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CAPE-VLSI implementation of a systolic processor array: architecture, design and testing
The singular value decomposition (SVD) is an important matrix factorization used in a variety of applications. The SVD exhibits better numerical stability due to the insensitivity to ill-conditioning or rank deficiency of matrices. However, the SVD is computationally intensive. The CORDIC array processor element (CAPE) is a single chip VLSI implementation of a processor element for the Brent-Luk-VanLoan systolic array which computes the SVD of a real matrix. The array utilizes CORDIC (coordinate rotation digital computer) arithmetic to perform the vector rotations and inverse tangent calculations in hardware. A six-chip prototype of the processor has been implemented as TinyChips using the MOSIS fabrication service. Experienced gain from designing the prototype helped in the design of integrated single-chip version. The chip has been implemented on a 5600*6900 mu die in a 2 mu n-well scalable CMOS process.<>
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