Overcoming the FHE Performance Bottleneck via Custom FPGA and GPU Silicon Pipelines

Core engineering and protocols for Hardware Acceleration Engines.

The Memory Bandwidth Wall in Homomorphic Encryption

Software implementations of FHE suffer from severe memory bandwidth starvation: ciphertexts are massive (megabytes per encrypted array), and NTT algorithms require constant memory transpose operations across memory hierarchies. FHEnc bypasses this bottleneck by deploying custom FPGA accelerators equipped with on-chip High-Bandwidth Memory (HBM2e/HBM3) delivering over 1.2 TB/s of local memory throughput.

Custom Microarchitecture for Modular Arithmetic

Our FPGA RTL architecture implements deeply pipelined Barrett and Montgomery reduction units optimized for standard RNS primes. By scheduling twiddle factor reads from on-chip UltraRAM, our accelerator computes a 65,536-point NTT in under 12 microseconds, achieving a 100x performance leap over high-end 64-core server CPUs.

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