From the 1 of 6 linked papers with an AI index.
6 papers
OpenCosmo: Community Portal and Analysis Framework for Flagship Cosmological Simulations
Patrick R. Wells, Michael Buelhmann, Patricia Larsen +11
Cosmology is a precision observational science, and large simulations are necessary components of many analyses. These simulations are computationally expensive and produce massive…
Overcoming Orchestration Bottlenecks at Exascale: A Decentralized, Policy-Driven Approach for Sim-AI Ensembles
Harikrishna Tummalapalli, Christine M. Simpson, Riccardo Balin +4
The paper presents EnsembleLauncher, a decentralized, hierarchical workflow orchestrator that scales to exascale systems and allows programmable scheduling policies to improve reso…
Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
William E. Allcock, Benjamin S. Allen, James Anchell +106
Aurora is Argonne National Laboratory's pioneering Exascale supercomputer, designed to accelerate scientific discovery with cutting-edge architectural innovations. Key new technolo…
FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access
Aditya Tanikanti, Benoit Côté, Yanfei Guo +9
We present the Federated Inference Resource Scheduling Toolkit (FIRST), a framework enabling Inference-as-a-Service across distributed High-Performance Computing (HPC) clusters. FI…
DESC DC2 Data Release Note
LSST Dark Energy Science Collaboration, Bela Abolfathi, Robert Armstrong +54
In preparation for cosmological analyses of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), the LSST Dark Energy Science Collaboration (LSST DESC) has created…
Illuminating the Physics of Dark Energy with the Discovery Simulations
Gillian D. Beltz-Mohrmann, Adrian Pope, Alex Alarcon +10
In this paper, we present the Discovery simulations: a new pair of high-resolution N-body simulations motivated by the DESI Y1 BAO cosmological constraints on dark energy. The Disc…