Parallelized Merkle-Tree Validation in Proof-of-Work Mining

Based on DPoWW consensus, it is possible to parallelise validation payloads, critical for scaling miner throughput. While a statistical approach is possible in the future, a more secure and robust deterministic approach is detailed here. The pair wise coverage of a fragmented Merkle Tree is described as well as Steiner Triple Systems approach trading off validation payload sze against number of mineres required to guarantee fault tolerance.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-24
DOI
https://doi.org/10.5281/zenodo.15730747
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
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article

Parallelized Merkle-Tree Validation in Proof-of-Work Mining

Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

Parallelized Merkle-Tree Validation in Proof-of-Work Mining

article en

Abstract

Based on DPoWW consensus, it is possible to parallelise validation payloads, critical for scaling miner throughput. While a statistical approach is possible in the future, a more secure and robust deterministic approach is detailed here. The pair wise coverage of a fragmented Merkle Tree is described as well as Steiner Triple Systems approach trading off validation payload sze against number of mineres required to guarantee fault tolerance.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Software System Performance and Reliability
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Parallelized Merkle-Tree Validation in Proof-of-Work Mining · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS