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机构地区:[1]东南大学国家专用集成电路系统工程技术研究中心,江苏南京210096
出 处:《电路与系统学报》2007年第1期124-129,61,共7页Journal of Circuits and Systems
基 金:国家863高技术研究发展计划;个人信息处理终端SOC专项(2003AA1Z1340);国家自然科学基金资助项目(60176018)
摘 要:在通信、语音、图像处理等数字信号处理应用系统中一般使用浮点算法。为降低硬件成本、功耗,在定点硬件架构上实现浮点算法成为一种有效的解决方案。在定点SoC(System on Chip)芯片中,为达到性能、成本、功耗的平衡,常采用定点近似算法和硬件加速方案对浮点数字信号处理算法进行转换和优化。因此,需要在制造费用、功耗、性能等诸多限制下,将浮点算法转换成定点数近似算法。本文提出了一种基于定点SoC芯片的浮点到定点转换方法。首先,本文引入硬件加速模块参数和转换参数完成浮点算法到定点算法的转换,然后使用本文提出的通过信噪比对定点数近似算法进行评估的方法,在满足一定信噪比限制条件下,计算出最佳硬件加速模块参数和转换参数,从而得到基于硬件加速的最优定点算法。同时,在此方法基础上进一步研究了单核SoC芯片内置硬件加速模块的原型开发策略。The algorithms used by communication, voice and image processing systems are typically specified as floating-point operations. On the other hand, the minimization of cost, power consumption of the applications requires the implementation of floating-point algorithms in fixed-point architectures. Considering cost of hardware, performance, and power consumption on balance in the fixed-point SoC, the implementations of these algorithms usually use fixed-point approximations. In the bid to achieve the implementations, it requires the development of methods for the conversion of floating-point to fixed-point. In this paper, a method for floating-point to fixed-point conversion in fixed-point SoC is proposed. The parameters of conversion and the hardware are introduced to achieve the goal of floating-point to fixed-point conversion firstly. Secondly, the best parameters are calculated by the method for evaluating the quality of fixed-point approximate algorithms through the Signal to Noise Ratio (SNR) which is proposed in this paper. Then the best fixed-point approximate algorithm and the hardware accelerator are obtained through these calculated parameters. Simultaneously, the prototype design strategy of the hardware accelerated module in the single core SoC is also proposed.
分 类 号:TN47[电子电信—微电子学与固体电子学]
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