15 citations · 17 across the 5 of their papers we have counts for
6 papers
Privacy Foundations for Multi-Institutional Scientific Artificial Intelligence
Olivera Kotevska, Sumit Jha, Aur'elien Bellet +6
Scientific artificial intelligence (AI), spanning foundation models (FMs) to federated data-analysis pipelines, is becoming shared infrastructure across national laboratories, univ…
Quantifying Protocol-Induced Uncertainty in Comparative Predictive-Model Evaluation: Evidence from Large-Scale Daily PM10 Forecasting
Rafael da Silva, Kiersten Monahan
Comparative studies of predictive models often end by ranking candidate models, yet these rankings depend on evaluation protocols whose influence is rarely treated as a source of u…
Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability
Renan Souza, Tyler J. Skluzacek, Sean R. Wilkinson +2
Modern large-scale scientific discovery requires multidisciplinary collaboration across diverse computing facilities, including High Performance Computing (HPC) machines and the Ed…
WfBench: Automated Generation of Scientific Workflow Benchmarks
Tainã Coleman, Henri Casanova, Ketan Maheshwari +6
The prevalence of scientific workflows with high computational demands calls for their execution on various distributed computing platforms, including large-scale leadership-class…
Unveiling User Behavior on Summit Login Nodes as a User
Sean R. Wilkinson, Ketan Maheshwari, Rafael Ferreira da Silva
We observe and analyze usage of the login nodes of the leadership class Summit supercomputer from the perspective of an ordinary user -- not a system administrator -- by periodical…
SIM-SITU: A Framework for the Faithful Simulation of in-situ Workflows
Valentin Honoré, Tu Mai Anh Do, Loïc Pottier +3
The amount of data generated by numerical simulations in various scientific domains such as molecular dynamics, climate modeling, biology, or astrophysics, led to a fundamental red…