Enabling AI ASICs for Zero Knowledge Proof
Zero-knowledge proof (ZKP) provers remain costly because multi-scalar multiplication (MSM) and number-theoretic transforms (NTTs) dominate runtime as they need significant computation. AI ASICs such as TPUs provide massive matrix throughput and SotA energy efficiency. We present MORPH, the first framework that reformulates ZKP kernels to match AI-ASIC execution. We introduce Big-T complexity, a hardware-aware complexity model that exposes heterogeneous bottlenecks and layout-transformation costs ignored by Big-O. Guided by this analysis, (1) at arithmetic level, MORPH develops an MXU-centric extended-RNS lazy reduction that converts high-precision modular arithmetic into dense low-precisi...
| Authors | Jianming Tong, Jingtian Dang, Simon Langowski et al. |
|---|---|
| Primary category | cs.AR |
| Published | 20 April 2026 |
| Last updated at source | 20 April 2026 |
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