Scalable Parallel Nonlinear Optimization with PyNumero and Parapint.
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Fossil Energy (FE)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1884206
- Report Number(s):
- SAND2021-8815C; 698789
- Resource Relation:
- Conference: Proposed for presentation at the SIAM Conference on Optimization (OP21) in , .
- Country of Publication:
- United States
- Language:
- English
Similar Records
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint.
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers.
Scalable3-BO: Big Data meets HPC - A scalable parallel high-dimensional Bayesian optimization framework on supercomputers.
Journal Article
·
2021
· Optimization Online Repository
·
OSTI ID:1834337
+3 more
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers.
Conference
·
2021
·
OSTI ID:1870365
Scalable3-BO: Big Data meets HPC - A scalable parallel high-dimensional Bayesian optimization framework on supercomputers.
Conference
·
2021
·
OSTI ID:1875390