Accurus: A Fast Convergence Technique for Accuracy Configurable Approximate Adder Circuits

Accurus: A Fast Convergence Technique for Accuracy Configurable Approximate Adder Circuits
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Accurus:一种用于精度可配置近似加法器电路的快速收敛技术

DOI:
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发表时间:
2016
期刊:
IEEE Computer Society Annual Symposium on VLSI
影响因子:
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通讯作者:
Suresh Purini
Suresh Purini
中科院分区:
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文献类型:
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作者:
Vinamra Benara;Suresh Purini

文献摘要

被引文献

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近似计算技术已经铺平了新的道路,以通过在固有的容错应用(如来自图像和视频处理领域)中与计算的准确性进行权衡来获得速度和功率效率的实质性改进。各种应用的精度要求可能彼此不同。即使在相同的应用中,不同的计算扫描具有不同的精度要求,其可以随时间和用户要求而变化。由于这些原因,精度可配置的算术电路是必不可少的。在文献中提出的这种技术(ACA)通过提高几个流水线阶段的精度来工作。然而,这些技术的缺点是,在初始流水线阶段进行的校正幅度很小,因为它们是从最低有效位位置执行的。在本文中,我们提出了一种新的校正技术- Accurus,其中我们开始从最重要的位,导致快速收敛的结果向准确的。我们在高斯模糊滤波器中使用了我们的近似加法器电路,然后将其应用于图像。经过一个阶段的校正,我们实现了40.90 dB的峰值信噪比相比,25.59 dB,使用以前众所周知的技术(ACA)。
Approximate computing techniques have paved new paths to get substantial improvement in speed and power efficiency by making a trade-off with the accuracy of computations in inherently error tolerant applications, like from image and video processing domains. The accuracy requirements of various applications can differ from each other. Even within a same application different computation scan have different accuracy requirements which can vary over time and upon user requirements. Accuracy configurable arithmetic circuits are essential for these reasons. Such techniques proposed earlier in the literature (ACA) work by improving the accuracy over several pipeline stages. However, those techniques suffer from the drawback that the corrections being made in the initial pipeline stagesare small in magnitude as they are performed from the least significant bit position. In this paper, we propose a new correction technique - Accurus wherein we start from the most significant bit resulting in fast convergence of the result towards the accurate one. We used our approximate adder circuit in a Gaussian Blur filter which is then applied to an image. After one stage of correction, we achieved a peak signal to noise ratio of 40.90 dB when compared with 25.59 dB obtained using the previous well-known technique (ACA).