Dr. David Patterson

Professor

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Biography

David Patterson is a Professor Emeritus in the Department of Computer Science at the University of California, Berkeley, where he has been a faculty member since 1976 after graduating from UCLA. His research focuses on computer architecture, particularly in areas such as performance and security, and he is known for his pioneering work in Reduced Instruction Set Computers (RISC) and Redundant Array of Inexpensive Disks (RAID). Through his projects, Patterson has not only contributed significantly to technological advancements but also trained many future leaders in the field. He has authored several influential books in collaboration with other scholars, thus enhancing educational resources in computer science. His work has earned him numerous accolades including the ACM A.M. Turing Award and the IEEE von Neumann Medal. Patterson is a member of prestigious organizations such as the National Academy of Engineering and the National Academy of Sciences, and he continues to influence the field through his advisory roles and ongoing research efforts.

Research Interests

Experience

Professor Emeritus

— Present

University of California, Berkeley • Berkeley, CA

Retired Professor in the Computer Science Department, known for leading key research projects in computer architecture.

Awards

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ACM A.M. Turing Award

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NAE Charles Stark Draper Prize Engineering

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IEEE von Neumann Medal

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.