Parallel processing is a computational method where multiple tasks or operations are executed simultaneously. This technique divides a larger problem into smaller, independent sub-problems that can be processed concurrently by different processors or cores. It significantly reduces the overall time required to complete complex computations, enhancing system performance and efficiency. Parallel processing is fundamental to high-performance computing, data analytics, and modern software applications.
Context
In blockchain technology, parallel processing is a key area of research and development aimed at improving network scalability and transaction throughput. Traditional blockchains often process transactions sequentially, limiting their capacity. Solutions like sharding or directed acyclic graphs DAGs leverage parallel processing principles to allow multiple transactions to be validated concurrently. News regarding layer-2 solutions and new blockchain architectures frequently discusses their reliance on parallel processing to achieve higher transaction speeds and lower costs.
A new sharding consensus pattern achieves provable cross-shard atomicity and optimal intra-shard communication overhead using a jointly managed buffer.
Pharos introduces a deeply parallel blockchain architecture and novel consensus, enabling unprecedented scalability and efficiency for high-frequency Web3 applications.
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