[Video tutorial] Implement GPU Acceleration on Homomorphic Computation using TFHE-rs
May 6, 2024
Agnes Leroy
TFHE-rs is meant for developers and researchers who want full control over what they can do with TFHE, while not having to worry about the low level implementation. The goal is to have a stable, simple, high-performance, and production-ready library for all the advanced features of TFHE.
In this tutorial, Zama team member Agnes Leroy shows you how to implement GPU acceleration using TFHE-rs.
Additional links
- Star Zama's TFHE-rs GitHub repository to endorse our work.
- Review Zama's TFHE-rs documentation.
- Get support on our community channels.
- Help us advance the FHE space with the Zama Bounty Program & Grant Program.