Thomas Klijnsma

Orcid: 0000-0003-1675-6040

According to our database1, Thomas Klijnsma authored at least 9 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Corrigendum: Applications and techniques for fast machine learning in science.
Frontiers Big Data, 2024

2022
Applications and Techniques for Fast Machine Learning in Science.
Frontiers Big Data, 2022

2021
GPU coprocessors as a service for deep learning inference in high energy physics.
Mach. Learn. Sci. Technol., 2021

Applications and Techniques for Fast Machine Learning in Science.
CoRR, 2021

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline.
CoRR, 2021

2020
GPU coprocessors as a service for deep learning inference in high energy physics.
CoRR, 2020

Track Seeding and Labelling with Embedded-space Graph Neural Networks.
CoRR, 2020

A Dynamic Reduction Network for Point Clouds.
CoRR, 2020

FPGAs-as-a-Service Toolkit (FaaST).
Proceedings of the 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2020


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