SHF: Small: A New Approach for Hardware Design of High-Precision Discrete Gaussian Sampling
We present a complete hardware design that is optimized for low power consumption and high throughput, which is implemented in a 65nm process from NCSU.
This project focuses on the design of a high-precision discrete Gaussian sampling in hardware. Optimized for low power consumption and high throughput, the design has been implemented in a 65nm process from NC State. The results show that our approach can provide higher precision than existing methods while still maintaining a low power consumption and high throughput.
Sponsor
National Science Foundation (NSF)
The grant—running from February 1, 2022 to January 31, 2024—is for a total of $199,780.
Principle Investigators
Aydin Aysu
More Details
This project is on designing a high-precision discrete Gaussian sampling in hardware.
