RIA: VLSI CORDIC Parallel Processor Architectures for the Singular Value Decomposition

RIA：用于奇异值分解的 VLSI CORDIC 并行处理器架构

• 批准号: 8909498
• 负责人: Joseph Cavallaro
• 金额: $ 5.94万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-07-01 至 1992-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8909498&HistoricalAwards=false
• 关键词: RIA; VLSI; CORDIC; Parallel; Processor

The objectives of this research are a) to develop Coordinate Rotation Algorithms (CORDIC) using complex arithmetic; b) to develop a fault tolerant Singular Value Decomposition (SVD) array architecture; and c) to develop the VLSI implementation of a fixed-point CORDIC SVD processor-array element. The principal investigator has previously shown the applicability of high-speed computer arithmetic algorithms, which includes the mapping of CORDIC to the SVD of real matrix. Based on the CORDIC data path chips designed, fully custom CMOS chips are being fabricated through the MOSIS service. The data path designs are then combined to yield a complete array-element chip and configured into a prototype array. Improvements to numerical algorithms will lead to a CORDIC SVD processor using complex arithmetic. Recent advances in VLSI have encouraged the development of special- purpose processor arrays to solve computation-intensive numerical algorithms. SVD is an important matrix computational method for real- time signal processing and image processing. The results developed here will result in a custom, low-cost, reconfigurable, high-speed VLSI SVD array, which will allow many applications to be solvable in real time.

本研究的目标是 a) 使用复杂算术开发坐标旋转算法 (CORDIC)； b) 开发容错奇异值分解（SVD）阵列架构； c) 开发定点 CORDIC SVD 处理器阵列元件的 VLSI 实现。 主要研究者之前已经展示了高速计算机算术算法的适用性，其中包括 CORDIC 到实矩阵 SVD 的映射。 基于设计的 CORDIC 数据路径芯片，完全定制的 CMOS 芯片正在通过 MOSIS 服务制造。 然后将数据路径设计组合起来以产生完整的阵列元件芯片并配置成原型阵列。 数值算法的改进将导致使用复杂算术的 CORDIC SVD 处理器。 VLSI 的最新进展鼓励了专用处理器阵列的开发，以解决计算密集型数值算法。 SVD是实时信号处理和图像处理的重要矩阵计算方法。 这里开发的结果将产生定制、低成本、可重新配置的高速 VLSI SVD 阵列，这将使许多应用程序能够实时解决。