Very Large Scale Integrated High Throughput Rate Architectures for Systolic Array Processors

适用于脉动阵列处理器的超大规模集成高吞吐量架构

• 批准号: 8860768
• 负责人: Tsun-Yee Yan
• 金额: $ 4.95万
• 依托单位: Linknet
• 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: 1989-01-01 至 1989-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8860768&HistoricalAwards=false
• 关键词: Very; Large; Scale; Integrated; Throughput

The Lease-Squares (L.S.) algorithm is the basis for many modern signal processing applications including spectral analysis, beamformation, direction finding, adaptive antenna array, equalization, Kalman filtering and parameter estimation. Triangular and linear systolic arrays are the most efficient ways to achieve high computational throughput rates for high performance real-time applications. The company is making a detailed comparison of the arithmetical complexity (number of multiples, divides, etc.) and finite precision computational effects of the triangular and linear internal and boundary systolic processing cells under Givens, fast Givens, modified fast Givens, modified Gram-Schmidt, and Householder transformations for l.s. estimation based on the QR decomposition approach. By selecting the processing algorithm with the least computational complexity, it can determine the architecture of the high throughput rate systolic array processor for VLSI fabrication. A generic (programmable) systolic array processing chip can be developed for a variety of signal processing applications. Reviewers awarded this uniformly high scores of 16, 17 and 18. They said that the research problem was precisely defined and was one of high impact. The proposal is knowledgeable, current and comprehensive. Success will lead to signal processing architectures with very high throughput rates. The personnel have excellent qualifications. This research will contribute to the design of future instruments that require a high rate of data manipulation.

租赁广场（L.S.）算法是许多现代信号的基础 处理应用包括光谱分析，波束形成， 测向，自适应天线阵，均衡，卡尔曼 滤波和参数估计。 三角形和线性收缩 数组是实现高计算能力的最有效方法。 高性能实时应用的吞吐率。 的 一家公司正在详细比较 （倍数、除数等）有限精度计算 三角形和线性内部和边界收缩的影响 在吉文斯，快速吉文斯，改良快速吉文斯下处理细胞， 修改的Gram-Schmidt和l.s.的Householder变换 基于QR分解方法的估计。 通过选择 以最小的计算复杂度处理算法，它可以 确定高吞吐率脉动阵列的架构 用于VLSI制造的处理器。 通用（可编程）收缩压 阵列处理芯片可开发用于各种信号 处理应用程序。 评论家们一致给予了16、17和18分的高分。 他们 他说，研究问题是精确定义的，是 高影响。 该建议是知识性的、最新的和全面的。 成功将导致信号处理架构具有非常高的 吞吐率。 工作人员素质优良。 这 研究将有助于设计未来的工具， 需要高速率的数据操作。