John J. Graham

Orcid: 0000-0002-2139-5617

According to our database1, John J. Graham authored at least 14 papers between 2006 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Real-Time In-Network Machine Learning on P4-Programmable FPGA SmartNICs with Fixed-Point Arithmetic and Taylor.
CoRR, July, 2025

Serving LLMs in HPC Clusters: A Comparative Study of Qualcomm Cloud AI 100 Ultra and High-Performance GPUs.
CoRR, July, 2025

The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster.
CoRR, May, 2025

2022
Data Transfer and Network Services management for Domain Science Workflows.
CoRR, 2022

Integrating End-to-End Exascale SDN into the LHC Data Distribution Cyberinfrastructure.
Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022

Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations.
Proceedings of the 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2022

Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
HTCondor data movement at 100 Gbps.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
Characterizing network paths in and out of the clouds.
CoRR, 2020

2019
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data.
Proceedings of the 15th International Conference on eScience, 2019

2018
The Pacific Research Platform: Making High-Speed Networking a Reality for the Scientist.
Proceedings of the Practice and Experience on Advanced Research Computing, 2018

2017
An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2006
A theoretical model of ventricular reentry and its radiofrequency ablation therapy.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006


  Loading...