Lune

ASPLOS2026Top-tier venue

cuJSON: A Highly Parallel JSON Parser for GPUs

Ashkan Vedadi Gargary, Soroosh Safari Loaliyan, Zhijia Zhao

2026Year

Abstract

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.

Ask about this paper

Ask your agent about it.

Lune has read the top-tier papers around this one, so every answer names the papers it rests on.

Questions to start from

Your agent calls

Lunesearch_papers

Ask in Lune

Free to start. No credit card required.

lune papers get d61bb973-e1ff-4314-bc92-f1b0019a8b0b

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines