An Ultra-Area-Efficient 1024-Point In-Memory FFT Processor.

Hasan Erdem Yantir, Wenzhe Guo, Ahmed M Eltawil, Fadi J Kurdahi, Khaled N. Salama

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


Current computation architectures rely on more processor-centric design principles. On the other hand, the inevitable increase in the amount of data that applications need forces researchers to design novel processor architectures that are more data-centric. By following this principle, this study proposes an area-efficient Fast Fourier Transform (FFT) processor through in-memory computing. The proposed architecture occupies the smallest footprint of around 0.1 mm 2 inside its class together with acceptable power efficiency. According to the results, the processor exhibits the highest area efficiency ( FFT / s / area ) among the existing FFT processors in the current literature.
Original languageEnglish (US)
Pages (from-to)509
Issue number8
StatePublished - Jul 31 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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