Dr. Kunle Olukotun

Professor

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Biography

Kunle Olukotun is the Cadence Design Systems Professor in the Department of Electrical Engineering and the Department of Computer Science at Stanford University. He is a pioneer in multicore processor design and led the Stanford Hydra chip multiprocessor (CMP) research project. Olukotun founded Afara Websystems to develop high-throughput, low-power multicore processors for server systems. The Afara multi-core processor, known as Niagara, was acquired by Sun Microsystems and powers Oracle's SPARC-based servers. In 2017, he co-founded SambaNova Systems, a company focused on machine learning and artificial intelligence, where he continues to serve as Chief Technologist. Olukotun is also the Director of the Pervasive Parallel Lab and a member of the Data Analytics for What's Next (DAWN) Lab, where he works on developing infrastructure usable for machine learning. He is a member of the National Academy of Engineering and has been recognized as an ACM Fellow and IEEE Fellow for his contributions to multiprocessor chip design and commercialization technology. His accolades include the Harry H. Goode Memorial Award and the Eckert-Mauchly Award from the ACM-IEEE. He earned his PhD in Computer Engineering from the University of Michigan in 1991.

Research Interests

Experience

Professor

1991-01-01 — Present

Stanford University • Stanford, California

Professor in the Departments of Electrical Engineering and Computer Science.

Awards

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Eckert-Mauchly Award

2023-01-01
#

Member

2022-01-01
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Member

2021-01-01
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Harry H. Goode Memorial Award

2018-01-01

Courses

EE 109 CS 217 CS 149 CS 499 CS 499P CS 390A CS 390B CS 390C CS 399 CS 399P CS 199 CS 199P EE 300 CS 390D CS 192 CS 191 EE 191 EE 391 EE 191W EE 190 EE 390 CS 195 CS 191W

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.