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Cited by
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Since 2019
Citations
4
4
h-index
1
1
i10-index
0
0
0
2
1
2022
2023
2024
1
2
1
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Co-authors
Jon Calhoun
Assistant Professor Clemson University
Verified email at clemson.edu
Franck Cappello
Argonne National Laboratory, IEEE Fellow
Verified email at anl.gov
Sheng Di
Argonne National Labratory, IEEE Senior Member
Verified email at anl.gov
Robert Underwood
Post-Doctoral Apointee, Argonne National Laboratory
Verified email at anl.gov
Bogdan Nicolae
Argonne National Laboratory
Verified email at acm.org
Kibaek Kim
Argonne National Laboratory
Verified email at anl.gov
Richard Mortier
Cambridge University Computer Laboratory
Verified email at cl.cam.ac.uk
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Grant Wilkins
MPhil Advanced Computer Science,
University of Cambridge
Verified email at cam.ac.uk -
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Green Computing
Federated Learning
Internet of Things
High-Performance Computing
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Year
Modeling power consumption of lossy compressed i/o for exascale hpc systems
G Wilkins, JC Calhoun
2022 IEEE International Parallel and Distributed Processing Symposium …
, 2022
2
2022
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
G Wilkins, S Di, JC Calhoun, K Kim, R Underwood, ...
arXiv preprint arXiv:2312.13461
, 2023
1
*
2023
Analyzing the energy consumption of synchronous and asynchronous checkpointing strategies
G Wilkins, MJ Gossman, B Nicolae, MC Smith, JC Calhoun
2022 IEEE/ACM Third International Symposium on Checkpointing for …
, 2022
1
2022
A Survey on Error-Bounded Lossy Compression for Scientific Datasets
S Di, J Liu, K Zhao, X Liang, R Underwood, Z Zhang, M Shah, Y Huang, ...
arXiv preprint arXiv:2404.02840
, 2024
2024
Green HPC: Optimizing Software Stack Energy Efficiency of Large Data Systems
G Wilkins
2023
Modeling Power Usage for the SZ Lossy Compressor on HPC Systems
G Wilkins, JC Calhoun
2020
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