• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

FacebookTwitterLinkedInInstagramYoutube
  • Home
  • /Profiles
  • Home
  • /Profiles

Robert S. Barton

Award Recipient

Featured ImageFeatured ImageRobert S. Barton received his BA in 1948, and his MS in 1949, both in Mathematics, from the State University of Iowa. His early experience with digital computers came while working in the IBM Applied Science Department in 1951.

He joined the Shell Oil Company Technical Services, in 1954, where he worked on programming applications. It was then that most of his ideas on computer architecture and its interrelationship with programming had its origin.

He started managing a system programming group in 1959 which developed an ALGOL-like compiler for Burroughs, and in 1960, Bob turned to consulting.

For Beckman Instruments he worked on data collection from satellite systems. For Lockheed he consulted on satellite systems and the organization of data processing services. And for Burroughs he continued working on the design concepts of the B-5000.

After an assignment in Australia in 1963 managing a computer support group for Control Data Corporation, he returned in 1965 to join the Computer Science staff of the Department of Electrical Engineering at the University of Utah. At the same time he continued his consulting for General Electric, and later for Burroughs, where he worked on the architecture of the B-6700 and developed the concepts for using interpretive techniques in computer design, as employed in the B-1700.

Since 1973, he has devoted his full time to Burroughs Systems Research, working on new computer architectures and systems programming in La Jolla, California.

He is very interested in the social effects of technology and computers, has served as ACM Lecturer, and gave the Keynote address at the ACM National Meeting in San Diego in 1974.

Awards

1979 Eckert-Mauchly Awards Recipient
Learn more about the Richard E. Merwin Award

1977 W. Wallace McDowell Award
“For his innovative architectural computer concepts, such as stack processing, data stored with self-describing tags, and the direct execution of higher level languages, as embodied in the B-5000 and successor machines.”
Learn more about the W. Wallace McDowell Award

LATEST NEWS
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Autonomous Observability: AI Agents That Debug AI
Autonomous Observability: AI Agents That Debug AI
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Copilot Ergonomics: UI Patterns that Reduce Cognitive Load
Copilot Ergonomics: UI Patterns that Reduce Cognitive Load
Read Next

IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT

Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)

Autonomous Observability: AI Agents That Debug AI

Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference

Copilot Ergonomics: UI Patterns that Reduce Cognitive Load

The Myth of AI Neutrality in Search Algorithms

Gen AI and LLMs: Rebuilding Trust in a Synthetic Information Age

How AI Is Transforming Fraud Detection in Financial Transactions

Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter