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ASPLOS2026顶会

cuJSON: A Highly Parallel JSON Parser for GPUs

Ashkan Vedadi Gargary, Soroosh Safari Loaliyan, Zhijia Zhao

2026年份

摘要

JSON (JavaScript Object Notation) data is widely used in modern computing, yet its parsing performance can be a major bottleneck. Conventional wisdom suggests that GPUs are ill-suited for parsing due to the branch-heavy nature of parsing algorithms. This work challenges that notion by presenting cuJSON, a novel JSON parser built on a new parsing algorithm, specifically tailored for GPU architectures with minimal branching and maximal parallelism.

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