以面积最小为重点的fpga数据通路电路合成

A. Ye, Jonathan Rose, D. Lewis
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引用次数: 15

摘要

大型电路,无论是算术电路、数字信号处理电路、开关电路还是处理器电路,通常都包含很大一部分高度规则的数据路径逻辑。数据路径合成算法保留了这些规则结构,因此可以通过打包、放置和路由工具来提高速度或密度。然而,典型的数据路径合成算法牺牲了面积来获得规律性。与传统的平面合成算法相比,目前的算法可以有多达30%到40%的面积膨胀。本文介绍了一种面积开销很小的数据路径综合算法,它是对模块压缩算法的改进。我们提出了两种字级优化-多路器树折叠和操作重排序。与平面合成相比,它们将面积膨胀率降低到3%-8%。我们的合成结果也从原始设计中保留了大量的规律性。
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Synthesizing datapath circuits for FPGAs with emphasis on area minimization
Large circuits, whether they are arithmetic, digital signal processing, switching, or processors, typically contain a greater portion of highly regular datapath logic. Datapath synthesis algorithms preserve these regular structures, so they can be exploited by packing, placement, and routing tools for speed or density. Typical datapath synthesis algorithms, however, sacrifice area to gain regularity. Current algorithms can have as much as 30% to 40% area inflation when compared with traditional flat synthesis algorithms. This paper describes a datapath synthesis algorithm with very low area overhead, which is an enhancement to the module compaction algorithm. We propose two word-level optimizations - multiplexer tree collapsing and operation reordering. They reduce the area inflation to 3%-8% as compared with flat synthesis. Our synthesis results also retain significant amount of regularity from the original designs.
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Evolution-based automated reconfiguration of field programmable analog devices Clustered programmable-reconfigurable processors Design and implementation of a novel architecture for symmetric FIR filters with boundary handling on Xilinx Virtex FPGAs Serial-parallel tradeoff analysis of all-pairs shortest path algorithms in reconfigurable computing A co-simulation study of adaptive EPIC computing
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