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Kunle Olukotun

Oyekunle Ayinde (Kunle) Olukotun is a pioneer of multi-core processors, a professor of electrical engineering and computer science at Stanford… 
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Papers overview

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2018
2018
Using machine learning to analyze data often results in developer exhaust – code, logs, or metadata that do not de ne the… 
2015
2015
Associative memories can map sparsely used keys to values with low latency but can incur heavy area overheads. The lack of… 
Review
2014
Review
2014
It is our great pleasure to welcome you to the 19th ACM Symposium on Principles and Practice of Parallel Programming -- PPoPP'14… 
Review
2011
Review
2011
Parallel programming (PP) used to be an area once confined to scientific and high-performance computing applications. However… 
Highly Cited
2005
Highly Cited
2005
Concurrency has long been touted as the "next big thing" and "the way of the future," but for the past 30 years, mainstream… 
2003
2003
As instruction-level parallelism with a single thread of control approaches its performance limits, designers must find other… 
2002
2002
We consider computational models motivated by processors which exhibit architectural asynchrony and allow operands to bypass the… 
2001
2001
A continuing exponential increase in the number of programmable elements is turning management of gate-reconfigurable… 
1995
1995
Clustering processors together at a level of the memory hierarchy in shared address space multiprocessors appears to be an… 
1993
1993
High performance processor organizations place large demands on the data memory hierarchy. The data bandwidth requirements of a…