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

0

IEEE-CS_LogoTM-orange
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
IEEE-CS_LogoTM-orange

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 2026 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

Joel S. Emer

Award Recipient

Featured ImageJoel Emer is a professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology and spends part time as a Senior Distinguished Research Scientist in Nvidia's Architecture Research group. Previously, he worked at Intel where he was an Intel Fellow and Director of Microarchitecture Research.  Earlier, he worked at Compaq and Digital Equipment Corporation. He earned a doctorate in electrical engineering from the University of Illinois in 1979. He received a bachelor's degree with highest honors in electrical engineering in 1974, and his master's degree in 1975 -- both from Purdue University.

Over his career, he has held research and advanced development positions investigating processor microarchitecture and developing performance modeling and evaluation techniques. He has made key architectural contributions to a number of VAX, Alpha and X86 processors and is recognized as a pioneering developer of the widely employed quantitative approach to processor performance evaluation, including creation of the "Iron Law of Processor Performance".  He is also well known for his contributions to the advancement of deep learning accelerator design, spatial and parallel architectures, processor reliability analysis, cache organization and simultaneous multithreading.

Recognitions of his contributions include "Most Influential Paper Awards" for his work on simultaneous multithreading and reliability analysis, and six of his papers have been selected as IEEE Micro's Top Picks in Computer Architecture. Five of his papers have been identified as among the "most significant" of the second 25 years of ISCA, and he has the most "most cited" papers of the first 50 years of ISCA. Among his professional honors, he is a Fellow of the ACM and IEEE, and a member of the NAE. He is a member of the ISCA, MICRO, and ASPLOS Halls of Fame, and the Computer Architecture Aggregated Hall of Fame. In 2009, he was recipient of the Eckert-Mauchly award for lifetime contributions in computer architecture.

Awards

2023 B. Ramakrishna Rau Award Recipient
“For pioneering contributions to microarchitectural analysis, microarchitecture features, and for bringing clarity to the field with fundamental concepts and terminology.”
Learn more about the B. Ramakrishna Rau Award

 

2009 Eckert-Mauchly Award Recipient
“For pioneering contributions to performance analysis and modeling methodologies; for design innovations in several significant industry microprocessors; and for deftly bridging research and development, academia and industry.”
Learn more about the Eckert-Mauchly Award

LATEST NEWS
IEEE Quantum Week 2026 to Unveil the Latest in Quantum Computing
IEEE Quantum Week 2026 to Unveil the Latest in Quantum Computing
Creating the Next Generation of Connected Autonomous Systems: an Interview with Weisong Shi on Edge Computing, Autonomous Driving, and the Future of Mobility
Creating the Next Generation of Connected Autonomous Systems: an Interview with Weisong Shi on Edge Computing, Autonomous Driving, and the Future of Mobility
Call for Nominations: IEEE Computer Society Opens Submissions for the “AI’s 10 to Watch” Award
Call for Nominations: IEEE Computer Society Opens Submissions for the “AI’s 10 to Watch” Award
Episode 1 | Interview with Michelle Tomes
Episode 1 | Interview with Michelle Tomes
Celebrating Excellence: 2025 IEEE Transactions on Mobile Computing Awards
Celebrating Excellence: 2025 IEEE Transactions on Mobile Computing Awards
Read Next

IEEE Quantum Week 2026 to Unveil the Latest in Quantum Computing

Creating the Next Generation of Connected Autonomous Systems: an Interview with Weisong Shi on Edge Computing, Autonomous Driving, and the Future of Mobility

Call for Nominations: IEEE Computer Society Opens Submissions for the “AI’s 10 to Watch” Award

Episode 1 | Interview with Michelle Tomes

Celebrating Excellence: 2025 IEEE Transactions on Mobile Computing Awards

Tech Horizons: Building AI Skills and Confidence in Panama’s Youth

TechMovel: Expanding Digital Access in Brazil

InfiLab Podcast: Fueling Your Tech Career with Sowmya Chintakindi

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