Parallel proving is a technique in zero-knowledge cryptography where multiple parts of a computation are proven simultaneously to reduce the total time required for proof generation. This method distributes the computational burden across several processors or machines. It significantly enhances the efficiency of creating cryptographic proofs for large or complex operations. This approach addresses the computational bottlenecks associated with traditional sequential proving.
Context
Parallel proving is a key area of research and development aimed at improving the practical viability of zero-knowledge proofs for real-world applications. Efforts concentrate on optimizing algorithms and hardware to maximize the benefits of parallelization. Observing advancements in proof system implementations and specialized hardware for zero-knowledge computation provides insight into its progress.
This framework achieves horizontal zkSNARK scalability by distributing large computations for parallel proving, then aggregating results into a single succinct proof.
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