White, Greg
TUMG012
Embracing the accelerator computing revolution at SLAC
386
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.
  • G. White, A. Edelen, B. Jacobson, C. Zimmer, E. Williams, M. Gibbs, M. Zelazny, R. Herbst, T. Summers
    SLAC National Accelerator Laboratory
  • L. Dalesio
    Osprey Distributed Control Systems LLC, EPIC Consulting
Slides: TUMG012
Paper: TUMG012
DOI: reference for this paper: 10.18429/JACoW-ICALEPCS2025-TUMG012
About:  Received: 22 Oct 2025 — Revised: 07 Nov 2025 — Accepted: 07 Nov 2025 — Issue date: 25 Nov 2025
Cite: reference for this paper using: BibTeX, LaTeX, Text/Word, RIS, EndNote
TUPD044
Embracing the accelerator computing revolution at SLAC
use link to access more material from this paper's primary code
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.
  • G. White, A. Edelen, B. Jacobson, C. Zimmer, E. Williams, M. Gibbs, M. Zelazny, R. Herbst, T. Summers
    SLAC National Accelerator Laboratory
  • L. Dalesio
    Osprey Distributed Control Systems LLC, EPIC Consulting
DOI: reference for this paper: 10.18429/JACoW-ICALEPCS2025-TUMG012
About:  Received: 22 Oct 2025 — Revised: 07 Nov 2025 — Accepted: 07 Nov 2025 — Issue date: 25 Nov 2025
Cite: reference for this paper using: BibTeX, LaTeX, Text/Word, RIS, EndNote
WEBG005
Cyber Secure Experimental Physics and Industrial Control System
829
Secure PVAccess (SPVA) brings production-grade cybersecurity to the Experimental Physics and Industrial Control System (EPICS) framework by encapsulating the PVAccess protocol within Transport Layer Security (TLS). It integrates X.509 certificate-based authentication with common laboratory-wide services such as Kerberos and LDAP, and delivers a full certificate authority, management, and distribution solution. Leveraging this robust authentication layer, Secure PVAccess extends the existing EPICS Security model to enforce true Process Variable (PV) access control based on verified peer identities, attributes, and connection modes. We describe the overall architecture, key design decisions, software components, current status, envisioned future capabilities, and the collaborative effort driving this initiative.
  • G. McIntyre, E. Williams, G. White
    SLAC National Accelerator Laboratory
  • I. Finch
    Science and Technology Facilities Council
  • J. Einstein-Curtis
    RadiaSoft (United States)
  • K. Kasemir
    Oak Ridge National Laboratory
  • L. Dalesio
    EPIC Consulting
  • M. Davidsaver
    Osprey Distributed Control Systems LLC
Slides: WEBG005
Paper: WEBG005
DOI: reference for this paper: 10.18429/JACoW-ICALEPCS2025-WEBG005
About:  Received: 07 Sep 2025 — Revised: 01 Oct 2025 — Accepted: 30 Oct 2025 — Issue date: 25 Nov 2025
Cite: reference for this paper using: BibTeX, LaTeX, Text/Word, RIS, EndNote