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Locus: A Framework for Exploring and Optimizing Point Addition Hardware for Zero-Knowledge Proofs

arXiv cs.CRby Gaurav Kuwar ()1 min read5 · 3 reads
AI summary · glm-5.3-flashSummaries by Vani AI

Locus framework automates ASIC and FPGA point-addition designs for elliptic curves, achieving 2.71x speedups and 3.11x area reductions for ZKPs.

Locus is a framework that automatically generates ASIC and FPGA implementations of elliptic curve point addition (PADD) for supported equation forms, enabling exploration of over 1,000 design points. On a 12nm technology node, its designs achieve a 2.71x geomean speedup and 3.11x geomean area reduction versus prior ASICs, plus 34.67x geomean speedup over CPU. Integrated into a prior ZKP accelerator at iso-area, it yields a 3.15x geomean speedup on end-to-end proof generation. The framework is open source on GitHub.

Key facts
  • Automatically generates ASIC and FPGA point-addition implementations for any supported elliptic curve equation form.
  • 2.71x geomean speedup and 3.11x area reduction versus prior ASICs on 12nm node.
  • 3.15x geomean speedup on end-to-end proof generation integrated into a prior ZKP accelerator.
  • First comprehensive hardware-focused study spanning over 1,000 point-addition design points.
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From the original article

1 min read at arxiv.org

Zero-Knowledge Proofs (ZKPs) are critical for privacy-preserving and verifiable computation, but their cryptographic primitives impose high computational overheads. One such primitive is point addition (PADD) on elliptic curves.

arXiv cs.CR

By Gaurav Kuwar · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.