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Fama: An FPGA-Oriented Multiscalar Multiplication Accelerator Optimized via Algorithm-Hardware Co-Design

  • Yan Xu
  • , Jingqi Zhang*
  • , Xiyan Dong
  • , An Wang
  • , Xinghua Wang
  • , Liehuang Zhu
  • *此作品的通讯作者
  • Hunan University
  • Beijing Institute of Technology

科研成果: 期刊稿件文章同行评审

摘要

Multiscalar multiplication (MSM) is the primary computational bottleneck in zero-knowledge proof (ZKP) protocols. To address this, we introduce Fama, a field-programmable gate array (FPGA)-oriented MSM accelerator developed through algorithm-hardware co-optimization. By integrating a 3D-Pippenger optimization algorithm, Fama minimizes computational complexity, while its compact dual-mode point addition (PADD) unit significantly reduces hardware overhead. Compared to the best CPU-based design, Fama achieves over 184.20× speedup. It also outperforms state-of-the-art FPGA-based MSM accelerators, reducing resource overhead by more than 64% and boosting area-time product (ATP) by up to 37.09×.

源语言英语
页(从-至)1867-1871
页数5
期刊IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
45
4
DOI
出版状态已出版 - 1 4月 2026
已对外发布

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