FluxZK: Scalable and Efficient Zero-Knowledge Proof Computation via GPU Acceleration
This work proposes a series of optimizations for these two kernels, including computation-transfer pipelining, load balancing, and memory access fusion, achieving 1.97 × to 2.16 × proof generation speedup over a state-of-the-art open source GPU acceleration library.