Title |
Lattice Optimization Using Jupyter Notebook on HPC Clusters |
Authors |
- H. Nishimura, K.M. Fernsler, S. James, G.M. Jung, Y. Qin, K. Song, C. Sunpresenter
LBNL, Berkeley, California, USA
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Abstract |
Tracy accelerator simulation library was originally developed for the Advanced Light Source (ALS) design studies at LBNL in the late 1980's. It was originally written in Pascal, later ported to C++, and then to C#. It is still actively updated and currently used by the ALS Upgrade Project (ALS-U) to design and to optimize the lattice. Recently, it has been reconstructed to provide ease of use and flexibility by leveraging the quickly growing Python language. This paper describes our effort of porting it to Jupyter Notebook on our institutional High-Performance Computing (HPC) clusters.
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Funding |
Work supported by the Director Office of Science of the U. S. Department of Energy under Contract No. DE-AC02-05CH11231 |
Paper |
download WEPAB101.PDF [0.198 MB / 3 pages] |
Export |
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Conference |
IPAC2017, Copenhagen, Denmark |
Series |
International Particle Accelerator Conference (8th) |
Proceedings |
Link to full IPAC2017 Proccedings |
Session |
Posters Wednesday 1 |
Date |
17-May-17 16:00–18:00 |
Main Classification |
02 Photon Sources and Electron Accelerators |
Sub Classification |
A05 Synchrotron Radiation Facilities |
Keywords |
Linux, lattice, software, Windows, operation |
Publisher |
JACoW, Geneva, Switzerland |
Editors |
Volker RW Schaa (GSI, Darmstadt, Germany); Gianluigi Arduini (CERN, Geneva, Switzerland); Juliana Pranke (ESS, Lund, Sweden); Mike Seidel (PSI, Villigen, Switzerland); Mats Lindroos (ESS, Lund, Sweden) |
ISBN |
978-3-95450-182-3 |
Published |
May 2017 |
Copyright |
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