Large computations refer to processing extensive datasets or complex algorithmic operations that demand substantial computational resources and time. In blockchain and zero-knowledge cryptography, these often involve verifying numerous transactions or executing intricate smart contract logic. Efficient handling of large computations is a primary challenge for achieving scalability and performance in decentralized systems. Optimizing these processes is vital for network throughput.
Context
The efficient execution of large computations is a central challenge in scaling blockchain networks and enabling more complex decentralized applications. Current research focuses on cryptographic techniques like zero-knowledge proofs to condense these computations into smaller, verifiable proofs. Observing advancements in proving systems and hardware acceleration provides insight into the progress toward managing these computational demands.
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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