Ashkan Vedadi Gargary

dblp:378/1250 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0004-2128-5735ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 67% GPUs and heterogeneous computing · 33%
Databases, data mining, and information retrieval
1 paper
Data integration and cleaning · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
GPUs and heterogeneous computing
GPU computing
1.012026
cuJSON: A Highly Parallel JSON Parser for GPUs · ASPLOS (1) 2026
Parallel and multicore computing
parallel algorithms
1.012026
cuJSON: A Highly Parallel JSON Parser for GPUs · ASPLOS (1) 2026
Parallel and multicore computing › parallel algorithms › parallel string algorithms
parallel parsing
1.012026
cuJSON: A Highly Parallel JSON Parser for GPUs · ASPLOS (1) 2026
Data integration and cleaning › data transformation
data parsing
0.312026
cuJSON: A Highly Parallel JSON Parser for GPUs · ASPLOS (1) 2026

Methods — techniques the papers use, named apart from their topics

branch-minimizing parallel parsing · 2.0
YearPublicationVenuePosition
2026 cuJSON: A Highly Parallel JSON Parser for GPUs
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.
Ashkan Vedadi Gargary, Soroosh Safari Loaliyan, Zhijia Zhao 0001
ASPLOS (1)1