Hüsrev Cılasun, Salonik Resch, Z. Chowdhury, Erin Olson, Masoud Zabihi, Zhengyang Zhao, Thomas J. Peterson, Jianping Wang, S. Sapatnekar, Ulya R. Karpuzcu
{"title":"CRAFFT: High Resolution FFT Accelerator In Spintronic Computational RAM","authors":"Hüsrev Cılasun, Salonik Resch, Z. Chowdhury, Erin Olson, Masoud Zabihi, Zhengyang Zhao, Thomas J. Peterson, Jianping Wang, S. Sapatnekar, Ulya R. Karpuzcu","doi":"10.1109/DAC18072.2020.9218673","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":428807,"journal":{"name":"2020 57th ACM/IEEE Design Automation Conference (DAC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 57th ACM/IEEE Design Automation Conference (DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DAC18072.2020.9218673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
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.