Improved-throughput networks of basic on-line arithmetic modules for DSP applications

A. Tenca, Ajay C. Shantilal, M. Sinky
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引用次数: 4

Abstract

On-line arithmetic modules were proposed as a way to explore parallelism in arithmetic operations at digit level. By using serial operators that always receive inputs and compute the outputs from most-significant to least-significant digits, on-line arithmetic makes it possible to overlap all arithmetic operations. However, on-line arithmetic modules have an intrinsic on-line delay that impacts the maximum throughput of networks using these modules. The problem is particularly serious for small precision calculation or deep-pipelined networks. This work presents a solution to the problem. Results of an actual implementation of the solution for some basic arithmetic operators are shown and demonstrate the benefits of the proposed approach. The developed modules are also tested within the framework of an image processing application.
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用于DSP应用的基本在线算法模块的改进吞吐量网络
在线算术模块是一种探索数字级算术运算并行性的方法。通过使用总是接收输入并从最高有效数字到最低有效数字计算输出的串行运算符,在线算术使所有算术运算重叠成为可能。然而,在线算法模块具有内在的在线延迟,这会影响使用这些模块的网络的最大吞吐量。对于小精度计算或深管道网络,这个问题尤其严重。这项工作提出了解决这个问题的办法。对一些基本的算术运算符给出了解决方案的实际实现结果,并证明了该方法的优点。开发的模块还在图像处理应用程序的框架内进行了测试。
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