Demo Data from VLDB 2026 / reviewers in the wild / expert
Arjun Parthasarathy
dblp:311/5031
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 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 |
GPUs and heterogeneous computing · 100% | |
| Artificial intelligence
1 paper |
Efficient and distributed learning · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
GPUs and heterogeneous computing
GPU kernel optimization |
0.9 | 1 | 2025 | ThunderKittens: Simple, Fast, and Adorable Kernels · ICLR 2025 |
Machine learning › Efficient and distributed learning
efficient training |
0.3 | 1 | 2025 | ThunderKittens: Simple, Fast, and Adorable Kernels · ICLR 2025 |
Methods — techniques the papers use, named apart from their topics
kernel optimization · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | ThunderKittens: Simple, Fast, and Adorable Kernels
Benjamin Spector, Simran Arora, Aaryan Singhal, Arjun Parthasarathy, Daniel Y. Fu, Christopher Ré |
ICLR | 4 |