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

Abstract
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.

Citation
Yantır, H. E., Guo, W., Eltawil, A. M., Kurdahi, F. J., & Salama, K. N. (2019). An Ultra-Area-Efficient 1024-Point In-Memory FFT Processor. Micromachines, 10(8), 509. doi:10.3390/mi10080509

Publisher
MDPI AG

Journal
Micromachines

DOI
10.3390/mi10080509

Additional Links
https://www.mdpi.com/2072-666X/10/8/509

Permanent link to this record