Speaker
Greg White
(SLAC National Accelerator Laboratory)
Description
We face a number of challenges in planning future controls and computing for large accelerator facilities. This paper concentrates on how radical changes in use of machine-learning, beam modelling, and big data for online tuning and accelerator physics, are changing the architectures of controls, cyber-security, and laboratory enterprise high performance computing at SLAC. We look briefly at those challenges and then concentrate on activities under way at SLAC to plan and implement a roadmap to meet them.
Author
Greg White
(SLAC National Accelerator Laboratory)
Co-authors
Auralee Edelen
(SLAC National Accelerator Laboratory)
Bryce Jacobson
(SLAC National Accelerator Laboratory)
Christopher Zimmer
(SLAC National Accelerator Laboratory)
Mr
Ernest Williams
(SLAC National Accelerator Laboratory)
Leo Dalesio
(Osprey Distributed Control Systems LLC)
Matt Gibbs
(SLAC National Accelerator Laboratory)
Michael Zelazny
(SLAC National Accelerator Laboratory)
Ryan Herbst
(SLAC National Accelerator Laboratory)
Tasha Summers
(SLAC National Accelerator Laboratory)
