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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
2011
Review
2011
Parallel programming (PP) used to be an area once confined to scientific and high-performance computing applications. However… 
Review
2008
Review
2008
This volume consists of papers that were presented at the 20th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA… 
2003
2003
Michael Chen and Kunle Olukotun Computer Systems Lab, Stanford University Abstract In this paper, we introduce a novel garbage… 
2001
2001
A continuing exponential increase in the number of programmable elements is turning management of gate-reconfigurable… 
1996
1996
Superscalar implementations improve performance by executing multiple instructions in parallel. This increases the demands on… 
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…