Grant Wilkins

12 papers A 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Servers to Sites: Compositional Power Trace Generation of LLM Inference for Infrastructure Planning.
CoRR
Grant Wilkins, Fiodar Kazhamiaka, Ram Rajagopal
2025 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
ACM Comput. Surv.
Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
2025 A conf
To Compress or Not to Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O.
IPDPS
Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello
2024 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
CoRR
Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
2024 A conf
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.
ICDCS
Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024 — conf
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.
IPDPS (Workshops)
Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024 — conf
Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads.
e-Energy
Grant Wilkins, Srinivasan Keshav, Richard Mortier
2024 J jnl
Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads.
CoRR
Grant Wilkins, Srinivasan Keshav, Richard Mortier
2024 J jnl
Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems.
CoRR
Grant Wilkins, Srinivasan Keshav, Richard Mortier
2024 J jnl
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O.
CoRR
Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello
2023 J jnl
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression.
CoRR
Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2022 — conf
Modeling Power Consumption of Lossy Compressed I/O for Exascale HPC Systems.
IPDPS Workshops
Grant Wilkins, Jon C. Calhoun