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Multiple constant multiplication implementations in near-threshold computing systems

机译:近阈值计算系统中的多个常数乘法实现

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Modern applications, such as video and audio processing, employ many licnear transforms and filters, such as the discrete cosine transform (DCT) and fast Fourier transform (FFT). There is a need to drastically reduce the energy consumption of these applications in order to enable their ultralow energy realization on mobile devices. It is well known that all of these applications can be implemented using multiple constant multiplication (MCM). As of now, there has been no effort to synthesize ultralow energy implementations of these systems, in particular, through the use of near-threshold computing (NTC). In order to synthesize MCM in NTC systems, we propose techniques that include minimizing the critical path through load reduction along with the creation of deep combinational logic in order to reduce the impact of process variation. We have demonstrated the effectiveness of our new techniques on both FFT and DCT applications and show up to an order of magnitude reduction in energy for the target delay.
机译:现代应用程序,例如视频和音频处理,采用许多线性变换和滤波器,例如离散余弦变换(DCT)和快速傅立叶变换(FFT)。需要大幅度降低这些应用程序的能耗,以使其在移动设备上实现超低能耗。众所周知,所有这些应用程序都可以使用多重常数乘法(MCM)来实现。到目前为止,还没有特别是通过使用近阈值计算(NTC)来合成这些系统的超低能耗实现的努力。为了在NTC系统中合成MCM,我们提出了一些技术,这些技术包括通过减少负载以及创建深度组合逻辑来最小化关键路径,从而减少过程变化的影响。我们已经证明了我们的新技术在FFT和DCT应用中的有效性,并显示出针对目标延迟的能量降低了一个数量级。

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