3 papers
cs.AR2026
Enabling AI ASICs for Zero Knowledge Proof
Jianming Tong, Jingtian Dang, Simon Langowski +6
Zero-knowledge proof (ZKP) provers remain costly because multi-scalar multiplication (MSM) and number-theoretic transforms (NTTs) dominate runtime as they need significant computat…
cs.PF2026
Ragged Paged Attention: A High-Performance and Flexible LLM Inference Kernel for TPU
Jevin Jiang, Ying Chen, Blake A. Hechtman +2
Large Language Model (LLM) deployment is increasingly shifting to cost-efficient accelerators like Google's Tensor Processing Units (TPUs), prioritizing both performance and total…
cs.CR2026
Leveraging ASIC AI Chips for Homomorphic Encryption
Jianming Tong, Tianhao Huang, Jingtian Dang +9
Homomorphic Encryption (HE) provides strong data privacy for cloud services but at the cost of prohibitive computational overhead. While GPUs have emerged as a practical platform f…