Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Yogesh Simmhan

Yogesh Simmhan

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

Distributed×1ML×1

Frequent co-authors

Pranjal Naman1×

Research Timeline

2026
Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs

Taurus is a single-machine system for efficient Graph Neural Network (GNN) inference on large-scale graphs that do not fit in RAM, using source-centric broadcasts and a pipelined GPU-CPU-SSD hierarchy.

Highlighted terms show continued research focus across papers

Papers

cs.DCcs.LGEmpiricalRecentJul 19, 2026

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs

Pranjal Naman, Yogesh Simmhan

Taurus is a single-machine system for efficient Graph Neural Network (GNN) inference on large-scale graphs that do not fit in RAM, using source-centric broadcasts and a pipelined GPU-CPU-SSD hierarchy…

View →