工艺:自旋电子计算RAM中的高分辨率FFT加速器

2020 57th ACM/IEEE Design Automation Conference (DAC) Pub Date : 2020-07-01 DOI:10.1109/DAC18072.2020.9218673

Hüsrev Cılasun, Salonik Resch, Z. Chowdhury, Erin Olson, Masoud Zabihi, Zhengyang Zhao, Thomas J. Peterson, Jianping Wang, S. Sapatnekar, Ulya R. Karpuzcu

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引用次数: 11

摘要

高分辨率快速傅里叶变换(FFT)在各种应用中都很重要，而增加的内存访问和并行性要求限制了传统硬件。在这项工作中，我们探索了高分辨率fft在支持真正的内存处理语义的自旋电子计算RAM (CRAM)中的加速机会。我们实验了基于自旋-扭矩传递(STT)和自旋-霍尔效应(SHE)的ram来实现高分辨率FFT加速器craft。对于一百万点的定点FFT，我们证明了craft可以提供高达2.57倍的加速和673倍的能量减少。我们还提供了对浮点FFT的概念验证扩展。

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CRAFFT: High Resolution FFT Accelerator In Spintronic Computational RAM

High resolution Fast Fourier Transform (FFT) is important for various applications while increased memory access and parallelism requirement limits the traditional hardware. In this work, we explore acceleration opportunities for high resolution FFTs in spintronic computational RAM (CRAM) which supports true in-memory processing semantics. We experiment with Spin-Torque-Transfer (STT) and Spin-Hall-Effect (SHE) based CRAMs in implementing CRAFFT, a high resolution FFT accelerator in memory. For one million point fixed-point FFT, we demonstrate that CRAFFT can provide up to 2.57× speedup and 673× energy reduction. We also provide a proof-of-concept extension to floating-point FFT.

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2020 57th ACM/IEEE Design Automation Conference (DAC)

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