• 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
FacebookTwitterLinkedInInstagramYoutube
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.

  • Home
  • /Profiles
  • Home
  • /Profiles

Shmuel Winograd

Award Recipient

Featured ImageFeatured ImageDr. Shmuel Winograd is a pioneer in the field of computational complexity – a branch of theoretical computer science concerned with the work necessary to do a given computation. In his research on the lower bounds of the time required to do a computation, he has achieved a number of outstanding results. Most notably, Dr. Winograd has formulated and proved several theorems giving the minimum amount of work required for performing addition and multiplication, regardless of how the numbers are represented. Also, his finding that multiplication can be done faster than addition if the appropriate number representation is chosen, have upset several widely held views to the contrary.

Because his results apply to any kind of logical device or arithmetic unit design using a non-redundant number scheme, they provide a fundamental limit to the performance of any adder against which a particular design can be evaluated.

Along with these achievements, Dr. Winograd has established lower bounds on how many arithmetic operations are required for evaluating polynomials, for finding roots of functions, and for performing certain matrix calculations. In some cases, these results have led to improved algorithms, in others; they have shown that existing algorithms cannot be improved.

Dr. Winograd's work has given enormous support to the idea that rigorous mathematical analysis can permit the discovery of lower bounds for the number of steps necessary in wide classes of computations, thus providing a scientific basis for the search for better algorithms for such computations.

Dr. Winograd was born 4 January 1936 in Tel Aviv, Israel. He received his BS and MS degrees in Electrical Engineering in 1959 from the Massachusetts Institute of Technology, and his PhD in Mathematics from New York University in 1968. He worked at MIT as a research assistant from 1959 to 1961 when he joined IBM as a research staff member. He became director of the Mathematical Sciences Department at the Thomas J. Watson Research Center in Yorktown Heights, N.Y., in 1970. Two years later, he was named IBM Fellow, the company's highest recognition for technical accomplishments, having already received an IBM Corporate Outstanding Contributions Award in 1968 for his work on the minimum time for arithmetic operations.

He served as Mackay Lecturer at the University of California at Berkeley in 1967–1968, and as Professor of Computer Science at Technion in Israel, where he is a permanent visiting professor.

Dr. Winograd was elected to Sigma Xi, and Tau Beta Pi, and is a Fellow of the IEEE. His hobbies include bridge, backpacking, and bicycling. He lives with his wife, Elaine, and their two children, Daniel and Sharon, in Scarsdale, New York.

Award

1974 W. Wallace McDowell Award
“For his pioneering work in computational complexity and for stimulating further research on the scientific basis for evaluating the efficiency of computational algorithms.”
Learn more about the W. Wallace McDowell Award

LATEST NEWS
CV Template
CV Template
A History of Rendering the Future with Computer Graphics & Applications
A History of Rendering the Future with Computer Graphics & Applications
AI Assisted Identity Threat Detection and Zero Trust Access Enforcement
AI Assisted Identity Threat Detection and Zero Trust Access Enforcement
Resume Template
Resume Template
IEEE Reveals 2026 Predictions for Top Technology Trends 
IEEE Reveals 2026 Predictions for Top Technology Trends 
Read Next

CV Template

A History of Rendering the Future with Computer Graphics & Applications

AI Assisted Identity Threat Detection and Zero Trust Access Enforcement

Resume Template

IEEE Reveals 2026 Predictions for Top Technology Trends 

7 Best Practices for Secure Software Engineering in 2026

Muzeeb Mohammad: IEEE Computer Society Leader in Cloud Tech

Setting the Standard: How SWEBOK Helps Organizations Build Reliable and Future-Ready Teams

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