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Kunle Olukotun

Oyekunle Ayinde "Kunle" Olukotun is a British-born Nigerian[1] computer scientist who is the Cadence Design Systems Professor of the Stanford School of Engineering, Professor of Electrical Engineering and Computer Science at Stanford University and the director of the Stanford Pervasive Parallelism Lab.[2] Olukotun is known as the “father of the multi-core processor”, and the leader of the Stanford Hydra Chip Multiprocessor research project.[3][4] Olukotun's achievements include designing the first general-purpose multi-core CPU,[5] innovating single-chip multiprocessor and multi-threaded processor design,[6][7] and pioneering multicore CPUs and GPUs, transactional memory technology and domain-specific languages programming models.[8][9][10] Olukotun's research interests include computer architecture, parallel programming environments and scalable parallel systems, domain specific languages and high-level compilers.[11][12]

Kunle Olukotun
Born
Oyekunle Ayinde Olukotun

London, England
EducationUniversity of Michigan (MS, PhD)
Calvin College (BS)
Known for
Awards
Scientific career
Fieldshigh-performance computer architecture; parallel computing
InstitutionsStanford University
ThesisTechnology-Organization Trade-offs in the Architecture of a High Performance Processor (1991)
Doctoral advisorTrevor Mudge

Education edit

Olukotun did his undergraduate studies at Calvin College,[13] in Grand Rapids, Michigan. He earned an MS (1987) and PhD (1991) from University of Michigan, in Computer Science and Engineering. His advisor was Trevor Mudge.[14]

Career edit

Olukotun joined Stanford's Department of Electrical Engineering in 1991. While at Stanford, Olukotun became the leader of the Stanford Hydra chip multiprocessor (CMP) research project which allowed for the development of multiprocessors with support for thread-level speculation.[15] In 2000, he founded Afara Websystems,[16] a company that designed and manufactured high-throughput, low power processors for server systems with chip multiprocessor technology. Afara was purchased by Sun Microsystems in 2002.[3] The Afara multicore processor Niagara, developed by Olukotun was acquired by Sun. Niagara derived processors currently power all Oracle SPARC-based servers and have generated billions of dollars of revenue.[10] While at Sun, Olukotun was one of the architects of the 2005 UltraSPARC T1 processor.[17]

In 2017 Olukotun and Chris Ré founded SambaNova Systems. SambaNova Systems is developing a next-generation computing platform to power machine learning and data analytics.[18] Olukotun now leads the Stanford Pervasive Parallelism Lab, which focuses on making heterogeneous parallel computing easy to use, and he is a member of the Data Analytics for What’s Next (DAWN) Lab, which is developing infrastructure for usable machine learning.[9]

Research edit

Olukotun's research focus is in computer architecture, parallel programming environments and scalable parallel systems, domain specific languages, and high-level compilers.

Olukotun leads the Stanford Hydra chip multiprocessor (CMP) research project, revolutionizing computing by bringing multi-core technology to consumers and high-end computing systems.[19]

In the mid-1990s, Olukotun and his co-authors argued that multi-core computer processors were likely to make better use of hardware than existing superscalar designs.[20]

In 2008, Olukotun returned to Stanford, and founded the Pervasive Parallelism Laboratory at Stanford after gathering US$6 million in funding from several computer-industry corporations.[21] His recent work focuses on domain-specific programming languages that can allow algorithms to be easily adapted to multiple different types of parallel hardware including multi-core systems, graphics processing units, and field-programmable gate arrays.[22]

Olukotun is also a member of the board of advisors of UDC, a Nigerian venture capital firm.[13] He was elected as a Fellow of the Association for Computing Machinery in 2006 for his "contributions to multiprocessors on a chip and multi threaded processor design".[23] He became a Fellow of the IEEE in 2008.[24]

Olukotun has used several words from his Yoruba heritage in his research. Afara, the name of the company he founded, means "bridge" in the Yoruba language, and he has named his server at Stanford Ogun after the Yoruba god of iron and steel, a play on words since large computers are frequently called big iron.[25]

Olukotun directs the Stanford Pervasive Parallelism Lab (PPL) which seeks to proliferate the use of parallelism in all application areas. He is also a member of the Data Analytics for What's Next (DAWN) Lab.[8]

Olukotun holds 12 U.S. patents.[26] He has published more than 150 scientific papers and wrote two textbooks.

Awards and honors edit

Books edit

  • S. W. Keckler, K. Olukotun, and H. P. Hofstee, Multicore Processors and Systems (Springer Publishing Company, Inc., 2009).
  • K. Olukotun, L. Hammond, J. Laudon, Chip Multiprocessor Architecture: Techniques to Improve Throughput and Latency, Synthesis Lectures on Computer Architecture (Morgan Claypool Publishers, 2007).

References edit

  1. ^ "Nigeria Techstars Series - Prof Kunle Olukotun of Stanford University". 22 April 2011.
  2. ^ "Kunle Olukotun's Profile | Stanford Profiles". profiles.stanford.edu. Retrieved 2020-09-20.
  3. ^ a b "SambaNova Systems Announces $150M Series B From Intel Capital and GV to Advance Its Breakthrough AI Platform". AP NEWS. 2019-04-01. Retrieved 2020-09-20.
  4. ^ "Stanford profs' AI hardware startup scores $250M at unicorn valuation". www.bizjournals.com. Retrieved 2020-09-20.
  5. ^ Nayfeh, B.A.; Olukotun, K. (September 1997). "A single-chip multiprocessor". Computer. 30 (9): 79–85. doi:10.1109/2.612253. ISSN 1558-0814.
  6. ^ "Stanford grabs $6m to shape the future of software". www.theregister.com. Retrieved 2020-09-20.
  7. ^ "SDSC Technology Forum with SambaNova Systems". UC San Diego Office of Innovation and Commercialization. Retrieved 2020-09-20.
  8. ^ a b "DAWN: Data Analytics for What's Next - A Stanford University Industrial Affiliates Program" (PDF). Retrieved 2020-09-20.
  9. ^ a b c [1] IEEE Harry H. Goode Award
  10. ^ a b "Kunle Olukotun | IEEE Computer Society". 8 September 2018. Retrieved 2020-09-20.
  11. ^ EE faculty listing, CS faculty listing, and (broken link) Pervasive Parallel Laboratory team listing 2011-08-25 at the Wayback Machine, Stanford U., retrieved 2018-08-15.
  12. ^ "For Black History Month, CSE Spotlights Faculty and Alumni in Academia= eecs.umich.edu". May 5, 2012. Retrieved November 9, 2019.
  13. ^ a b , UDC, retrieved 2011-04-01.
  14. ^ The dates of his PhD vary by source. His personal web site and Stanford Engineering faculty profile (retrieved 2018-08-15) state it as 1991. It is also 1991 according to Oyekunle A. Olukotun at the Mathematics Genealogy Project. In the entry for his dissertation in the ACM digital library, the year is stated as 1992.
  15. ^ "Kunle Olukotun". arsenalfc.stanford.edu. Retrieved 2020-09-20.
  16. ^ Wayback Machine - www.afara.com
  17. ^ Kongetira, P.; Aingaran, K.; Olukotun, K. (2005), "Niagara: a 32-way multithreaded Sparc processor", IEEE Micro, 25 (2): 21–29, doi:10.1109/MM.2005.35, S2CID 14455648.
  18. ^ "SambaNova Systems, A Startup In The Hot AI Hardware Space, Scores $150 Million Investment From Intel And Alphabet". Forbes. Apr 1, 2019. Retrieved 2021-02-25.
  19. ^ "CSE alum startup SambaNova collects $56m in funding for AI chip research". April 9, 2018. Retrieved 2021-02-25.
  20. ^ Olukotun, Kunle; Nayfeh, Basem A.; Hammond, Lance; Wilson, Ken; Chang, Kunyung (1996), "The case for a single-chip multiprocessor", Proc. 7th ACM Int. Conf. Architectural Support for Programming Languages and Operating Systems (ASPLOS-VII), pp. 2–11, doi:10.1145/237090.237140, S2CID 6595171.
  21. ^ Vance, Ashlee (April 30, 2008), "Stanford grabs $6m to shape the future of software", The Register.
  22. ^ PPL Projects 2011-08-08 at the Wayback Machine, retrieved 2011-04-01.
  23. ^ a b Oyekunle A Olukotun ACM Award Winner page, ACM, retrieved 2018-02-18.
  24. ^ IEEE Fellows directory, retrieved 2011-04-01.
  25. ^ Irele, Abiola; Jeyifo, Biodun (2010), The Oxford Encyclopedia of African Thought, vol. 1, Oxford University Press US, p. 197, ISBN 978-0-19-533473-9. See also an email from Olukotun explaining the name, 2006, reproduced at Cognitive Diary.
  26. ^ "Justia Patents - Kunle Olukotun". Justia. Retrieved 2021-02-25.
  27. ^ "Professor Kunle Olukotun, Pioneer of Multicore Processor Design, Receives ACM-IEEE CS Eckert-Mauchly Award". IEEE Computer Society (Press release). June 7, 2023.
  28. ^ "National Academy of Engineering Elects 106 Members and 23 International Members". NAE. February 9, 2021. Retrieved 2021-02-10.
  29. ^ [3] 2021-03-16 at the Wayback Machine Michigan Engineering Alumni Merit Award, 2017

External links edit

  • Profile page at Stanford
  • Kunle Olukotun at DBLP Bibliography Server  
  • Google Scholar

kunle, olukotun, oyekunle, ayinde, kunle, olukotun, british, born, nigerian, computer, scientist, cadence, design, systems, professor, stanford, school, engineering, professor, electrical, engineering, computer, science, stanford, university, director, stanfor. Oyekunle Ayinde Kunle Olukotun is a British born Nigerian 1 computer scientist who is the Cadence Design Systems Professor of the Stanford School of Engineering Professor of Electrical Engineering and Computer Science at Stanford University and the director of the Stanford Pervasive Parallelism Lab 2 Olukotun is known as the father of the multi core processor and the leader of the Stanford Hydra Chip Multiprocessor research project 3 4 Olukotun s achievements include designing the first general purpose multi core CPU 5 innovating single chip multiprocessor and multi threaded processor design 6 7 and pioneering multicore CPUs and GPUs transactional memory technology and domain specific languages programming models 8 9 10 Olukotun s research interests include computer architecture parallel programming environments and scalable parallel systems domain specific languages and high level compilers 11 12 Kunle OlukotunBornOyekunle Ayinde OlukotunLondon EnglandEducationUniversity of Michigan MS PhD Calvin College BS Known forcomputer architecture domain specific languages Stanford Hydra research SambaNovaAwardsIEEE Harry H Goode Award 2018 Michigan Alumni Merit Award Member of the National Academy Engineering 2021 Eckert Mauchly Award 2023 Scientific careerFieldshigh performance computer architecture parallel computingInstitutionsStanford UniversityThesisTechnology Organization Trade offs in the Architecture of a High Performance Processor 1991 Doctoral advisorTrevor Mudge Contents 1 Education 2 Career 3 Research 4 Awards and honors 5 Books 6 References 7 External linksEducation editOlukotun did his undergraduate studies at Calvin College 13 in Grand Rapids Michigan He earned an MS 1987 and PhD 1991 from University of Michigan in Computer Science and Engineering His advisor was Trevor Mudge 14 Career editOlukotun joined Stanford s Department of Electrical Engineering in 1991 While at Stanford Olukotun became the leader of the Stanford Hydra chip multiprocessor CMP research project which allowed for the development of multiprocessors with support for thread level speculation 15 In 2000 he founded Afara Websystems 16 a company that designed and manufactured high throughput low power processors for server systems with chip multiprocessor technology Afara was purchased by Sun Microsystems in 2002 3 The Afara multicore processor Niagara developed by Olukotun was acquired by Sun Niagara derived processors currently power all Oracle SPARC based servers and have generated billions of dollars of revenue 10 While at Sun Olukotun was one of the architects of the 2005 UltraSPARC T1 processor 17 In 2017 Olukotun and Chris Re founded SambaNova Systems SambaNova Systems is developing a next generation computing platform to power machine learning and data analytics 18 Olukotun now leads the Stanford Pervasive Parallelism Lab which focuses on making heterogeneous parallel computing easy to use and he is a member of the Data Analytics for What s Next DAWN Lab which is developing infrastructure for usable machine learning 9 Research editOlukotun s research focus is in computer architecture parallel programming environments and scalable parallel systems domain specific languages and high level compilers Olukotun leads the Stanford Hydra chip multiprocessor CMP research project revolutionizing computing by bringing multi core technology to consumers and high end computing systems 19 In the mid 1990s Olukotun and his co authors argued that multi core computer processors were likely to make better use of hardware than existing superscalar designs 20 In 2008 Olukotun returned to Stanford and founded the Pervasive Parallelism Laboratory at Stanford after gathering US 6 million in funding from several computer industry corporations 21 His recent work focuses on domain specific programming languages that can allow algorithms to be easily adapted to multiple different types of parallel hardware including multi core systems graphics processing units and field programmable gate arrays 22 Olukotun is also a member of the board of advisors of UDC a Nigerian venture capital firm 13 He was elected as a Fellow of the Association for Computing Machinery in 2006 for his contributions to multiprocessors on a chip and multi threaded processor design 23 He became a Fellow of the IEEE in 2008 24 Olukotun has used several words from his Yoruba heritage in his research Afara the name of the company he founded means bridge in the Yoruba language and he has named his server at Stanford Ogun after the Yoruba god of iron and steel a play on words since large computers are frequently called big iron 25 Olukotun directs the Stanford Pervasive Parallelism Lab PPL which seeks to proliferate the use of parallelism in all application areas He is also a member of the Data Analytics for What s Next DAWN Lab 8 Olukotun holds 12 U S patents 26 He has published more than 150 scientific papers and wrote two textbooks Awards and honors editEckert Mauchly Award 2023 27 Member of the National Academy of Engineering 2021 28 IEEE Computer Society Harry H Goode Award 2018 9 Michigan Engineering Alumni Merit Award 2017 29 ACM Fellow 2006 23 Books editS W Keckler K Olukotun and H P Hofstee Multicore Processors and Systems Springer Publishing Company Inc 2009 K Olukotun L Hammond J Laudon Chip Multiprocessor Architecture Techniques to Improve Throughput and Latency Synthesis Lectures on Computer Architecture Morgan Claypool Publishers 2007 References edit Nigeria Techstars Series Prof Kunle Olukotun of Stanford University 22 April 2011 Kunle Olukotun s Profile Stanford Profiles profiles stanford edu Retrieved 2020 09 20 a b SambaNova Systems Announces 150M Series B From Intel Capital and GV to Advance Its Breakthrough AI Platform AP NEWS 2019 04 01 Retrieved 2020 09 20 Stanford profs AI hardware startup scores 250M at unicorn valuation www bizjournals com Retrieved 2020 09 20 Nayfeh B A Olukotun K September 1997 A single chip multiprocessor Computer 30 9 79 85 doi 10 1109 2 612253 ISSN 1558 0814 Stanford grabs 6m to shape the future of software www theregister com Retrieved 2020 09 20 SDSC Technology Forum with SambaNova Systems UC San Diego Office of Innovation and Commercialization Retrieved 2020 09 20 a b DAWN Data Analytics for What s Next A Stanford University Industrial Affiliates Program PDF Retrieved 2020 09 20 a b c 1 IEEE Harry H Goode Award a b Kunle Olukotun IEEE Computer Society 8 September 2018 Retrieved 2020 09 20 EE faculty listing CS faculty listing and broken link Pervasive Parallel Laboratory team listing Archived 2011 08 25 at the Wayback Machine Stanford U retrieved 2018 08 15 For Black History Month CSE Spotlights Faculty and Alumni in Academia eecs umich edu May 5 2012 Retrieved November 9 2019 a b About the company UDC retrieved 2011 04 01 The dates of his PhD vary by source His personal web site and Stanford Engineering faculty profile retrieved 2018 08 15 state it as 1991 It is also 1991 according to Oyekunle A Olukotun at the Mathematics Genealogy Project In the entry for his dissertation in the ACM digital library the year is stated as 1992 Kunle Olukotun arsenalfc stanford edu Retrieved 2020 09 20 2 Wayback Machine www afara com Kongetira P Aingaran K Olukotun K 2005 Niagara a 32 way multithreaded Sparc processor IEEE Micro 25 2 21 29 doi 10 1109 MM 2005 35 S2CID 14455648 SambaNova Systems A Startup In The Hot AI Hardware Space Scores 150 Million Investment From Intel And Alphabet Forbes Apr 1 2019 Retrieved 2021 02 25 CSE alum startup SambaNova collects 56m in funding for AI chip research April 9 2018 Retrieved 2021 02 25 Olukotun Kunle Nayfeh Basem A Hammond Lance Wilson Ken Chang Kunyung 1996 The case for a single chip multiprocessor Proc 7th ACM Int Conf Architectural Support for Programming Languages and Operating Systems ASPLOS VII pp 2 11 doi 10 1145 237090 237140 S2CID 6595171 Vance Ashlee April 30 2008 Stanford grabs 6m to shape the future of software The Register PPL Projects Archived 2011 08 08 at the Wayback Machine retrieved 2011 04 01 a b Oyekunle A Olukotun ACM Award Winner page ACM retrieved 2018 02 18 IEEE Fellows directory retrieved 2011 04 01 Irele Abiola Jeyifo Biodun 2010 The Oxford Encyclopedia of African Thought vol 1 Oxford University Press US p 197 ISBN 978 0 19 533473 9 See also an email from Olukotun explaining the name 2006 reproduced at Cognitive Diary Justia Patents Kunle Olukotun Justia Retrieved 2021 02 25 Professor Kunle Olukotun Pioneer of Multicore Processor Design Receives ACM IEEE CS Eckert Mauchly Award IEEE Computer Society Press release June 7 2023 National Academy of Engineering Elects 106 Members and 23 International Members NAE February 9 2021 Retrieved 2021 02 10 3 Archived 2021 03 16 at the Wayback Machine Michigan Engineering Alumni Merit Award 2017External links editProfile page at Stanford Kunle Olukotun at DBLP Bibliography Server nbsp Google Scholar Retrieved from https en wikipedia org w index php title Kunle Olukotun amp oldid 1211537390, wikipedia, wiki, book, books, library,

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