Embracing the accelerator computing revolution at SLAC

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.