CSLA有效区域效率架构的实现与比较

R. Priya, J. S. Kumar
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引用次数: 8

摘要

在集成电路的设计中,由于便携式系统的需求日益增加,面积占用起着至关重要的作用。进位选择加法器(CSLA)是数据处理处理器中用于执行快速算术函数的快速加法器。从CSLA的结构来看,其范围是基于有效的门级修改来减小CSLA的面积。本文对16位、32位、64位和128位正则线性CSLA、改进线性CSLA、正则平方根CSLA (SQRT CSLA)和改进SQRT CSLA体系结构进行了开发和比较。然而,由于双波纹进位加法器(RCA)结构,常规CSLA仍然是面积消耗。为了减少面积,CSLA可以通过使用单个RCA和一个加1电路来实现,而不是使用双RCA。常规线性CSLA与常规SQRT CSLA的比较,常规SQRT CSLA减少了面积,改进线性CSLA与改进SQRT CSLA的比较;修改后的SQRT CSLA减少了面积。结果和分析表明,改进的线性CSLA和改进的SQRT CSLA分别优于常规线性CSLA和常规SQRT CSLA。本项目旨在实现高性能优化的FPGA架构。采用Modelsim 10.0c进行CSLA仿真,采用Xilinx PlanAhead13.4进行合成。然后在Virtex5 FPGA Kit中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation and comparison of effective area efficient architectures for CSLA
In the design of Integrated circuit area occupancy plays a vital role because of increasing the necessity of portable systems. Carry Select Adder (CSLA) is a fast adder used in data-processing processors for performing fast arithmetic functions. From the structure of the CSLA, the scope is reducing the area of CSLA based on the efficient gate-level modification. In this paper 16 bit, 32 bit, 64 bit and 128 bit Regular Linear CSLA, Modified Linear CSLA, Regular Square-root CSLA (SQRT CSLA) and Modified SQRT CSLA architectures have been developed and compared. However, the Regular CSLA is still area-consuming due to the dual Ripple-Carry Adder (RCA) structure. For reducing area, the CSLA can be implemented by using a single RCA and an add-one circuit instead of using dual RCA. Comparing the Regular Linear CSLA with Regular SQRT CSLA, the Regular SQRT CSLA has reduced area as well as comparing the Modified Linear CSLA with Modified SQRT CSLA; the Modified SQRT CSLA has reduced area. The results and analysis show that the Modified Linear CSLA and Modified SQRT CSLA provide better outcomes than the Regular Linear CSLA and Regular SQRT CSLA respectively. This project was aimed for implementing high performance optimized FPGA architecture. Modelsim 10.0c is used for simulating the CSLA and synthesized using Xilinx PlanAhead13.4. Then the implementation is done in Virtex5 FPGA Kit.
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