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MSMAC: Accelerating Multi-Scalar Multiplication for Zero-Knowledge Proof
DescriptionMulti-scalar multiplication (MSM) is the most computation-intensive part in proof generation of Zero-knowledge proof (ZKP). In this paper, we propose MSMAC, an FPGA accelerator for large-scale MSM. MSMAC adopts a specially designed Instruction Set Architecture (ISA) for MSM and optimizes pipelined Point Addition Unit (PAU) with hybrid Karatsuba multiplier. Moreover, a runtime system is proposed to split MSM tasks with the optimal sub-task size and orchestrate execution of Processing Elements (PEs). Experimental results show that MSMAC achieves up to 328X and 1.96X speedups compared to the state-of-the-art implementation on CPU (one core) and GPU, respectively, outperforming the state-of-the-art ASIC accelerator by 1.79X. On 4 FPGAs, MSMAC performs 1,261X faster than a single CPU core.
Event Type
Research Manuscript
TimeWednesday, June 264:30pm - 4:45pm PDT
Location3003, 3rd Floor
Topics
Design
Keywords
SoC, Heterogeneous, and Reconfigurable Architectures