UNEDF: Advanced Scientific Computing Collaboration Transforms the Low-Energy Nuclear Many-Body Problem
arXiv:1205.0227 · doi:10.1088/1742-6596/402/1/012033
Abstract
The demands of cutting-edge science are driving the need for larger and faster computing resources. With the rapidly growing scale of computing systems and the prospect of technologically disruptive architectures to meet these needs, scientists face the challenge of effectively using complex computational resources to advance scientific discovery. Multidisciplinary collaborating networks of researchers with diverse scientific backgrounds are needed to address these complex challenges. The UNEDF SciDAC collaboration of nuclear theorists, applied mathematicians, and computer scientists is developing a comprehensive description of nuclei and their reactions that delivers maximum predictive power with quantified uncertainties. This paper describes UNEDF and identifies attributes that classify it as a successful computational collaboration. We illustrate significant milestones accomplished by UNEDF through integrative solutions using the most reliable theoretical approaches, most advanced algorithms, and leadership-class computational resources.
12 pages, 15 figures, Proceedings for Conference on Computational Physics (CCP2011)
References in corpus (8)
- Nuclear Energy Density Optimization
- Ab initio coupled-cluster approach to nuclear structure with modern nucleon-nucleon interactions
- Origin of the anomalous long lifetime of 14C
- Microscopically-based energy density functionals for nuclei using the density matrix expansion: Implementation and pre-optimization
- Generation and Dynamics of Quantized Vortices in a Unitary Fermi Superfluid
- A High-Performance Algorithm to Calculate Spin- and Parity-Dependent Nuclear Level Densities
- Towards a Microscopic Reaction Description Based on Energy-Density-Functional Structure Models
- Competition between Normal Superfluidity and Larkin-Ovchinnikov Phases of Polarized Fermi Gases in Elongated Traps