21 citations · 35 across the 7 of their papers we have counts for
7 papers
FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients
Fatih Ilhan, Selim Furkan Tekin, Tiansheng Huang +6
Fine-tuning pre-trained large language models (LLMs) has become a common practice for personalized natural language understanding (NLU) applications on downstream tasks and domain-…
The Artificial Scientist -- in-transit Machine Learning of Plasma Simulations
Jeffrey Kelling, Vicente Bolea, Michael Bussmann +19
Increasing HPC cluster sizes and large-scale simulations that produce petabytes of data per run, create massive IO and storage challenges for analysis. Deep learning-based techniqu…
Streaming Data in HPC Workflows Using ADIOS
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru +12
The "IO Wall" problem, in which the gap between computation rate and data access rate grows continuously, poses significant problems to scientific workflows which have traditionall…
RAI4IoE: Responsible AI for Enabling the Internet of Energy
Minhui Xue, Surya Nepal, Ling Liu +5
This paper plans to develop an Equitable and Responsible AI framework with enabling techniques and algorithms for the Internet of Energy (IoE), in short, RAI4IoE. The energy sector…
F*** workflows: when parts of FAIR are missing
Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia +4
The FAIR principles for scientific data (Findable, Accessible, Interoperable, Reusable) are also relevant to other digital objects such as research software and scientific workflow…
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
Franz Poeschel, Juncheng E, William F. Godoy +11
This paper aims to create a transition path from file-based IO to streaming-based workflows for scientific applications in an HPC environment. By using the openPMP-api, traditional…
Near-zero Downtime Recovery from Transient-error-induced Crashes
Chao Chen, Greg Eisenhauer, Santosh Pande
Due to the system scaling, transient errors caused by external noises, e.g., heat fluxes and particle strikes, have become a growing concern for the current and upcoming extreme-sc…