Kunle Olukotun

Kunle Olukotun

Stanford University

H-index: 80

North America-United States

About Kunle Olukotun

Kunle Olukotun, With an exceptional h-index of 80 and a recent h-index of 36 (since 2020), a distinguished researcher at Stanford University, specializes in the field of computer architecture, parallel computing, programming languages.

His recent articles reflect a diverse array of research interests and contributions to the field:

Implementing and Optimizing the Scaled Dot-Product Attention on Streaming Dataflow

Revet: A language and compiler for dataflow threads

Baco: A fast and portable Bayesian compiler optimization framework

The sparse abstract machine

Homunculus: Auto-generating efficient data-plane ml pipelines for datacenter networks

Sigma: Compiling einstein summations to locality-aware dataflow

Mosaic: An Interoperable Compiler for Tensor Algebra

Accelerating SLIDE: Exploiting Sparsity on Accelerator Architectures

Kunle Olukotun Information

University

Position

Cadence Design Systems Professor of Computer Science

Citations(all)

24701

Citations(since 2020)

5502

Cited By

21864

hIndex(all)

80

hIndex(since 2020)

36

i10Index(all)

164

i10Index(since 2020)

88

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Kunle Olukotun Skills & Research Interests

computer architecture

parallel computing

programming languages

Top articles of Kunle Olukotun

Title

Journal

Author(s)

Publication Date

Implementing and Optimizing the Scaled Dot-Product Attention on Streaming Dataflow

arXiv preprint arXiv:2404.16629

Gina Sohn

Nathan Zhang

Kunle Olukotun

2024/4/25

Revet: A language and compiler for dataflow threads

Alexander C Rucker

Shiv Sundram

Coleman Smith

Matthew Vilim

Raghu Prabhakar

...

2024/3/2

Baco: A fast and portable Bayesian compiler optimization framework

Erik Orm Hellsten

Artur Souza

Johannes Lenfers

Rubens Lacouture

Olivia Hsu

...

2023/3/25

The sparse abstract machine

Olivia Hsu

Maxwell Strange

Ritvik Sharma

Jaeyeon Won

Kunle Olukotun

...

2023/3/25

Homunculus: Auto-generating efficient data-plane ml pipelines for datacenter networks

Tushar Swamy

Annus Zulfiqar

Luigi Nardi

Muhammad Shahbaz

Kunle Olukotun

2023/3/25

Sigma: Compiling einstein summations to locality-aware dataflow

Tian Zhao

Alexander Rucker

Kunle Olukotun

2023/1/27

Mosaic: An Interoperable Compiler for Tensor Algebra

Proceedings of the ACM on Programming Languages

Manya Bansal

Olivia Hsu

Kunle Olukotun

Fredrik Kjolstad

2023/6/6

Accelerating SLIDE: Exploiting Sparsity on Accelerator Architectures

Sho Ko

Alexander Rucker

Yaqi Zhang

Paul Mure

Kunle Olukotun

2022/5/30

Taurus: a data plane architecture for per-packet ML

Tushar Swamy

Alexander Rucker

Muhammad Shahbaz

Ishan Gaur

Kunle Olukotun

2022/2/28

Efficient Memory Partitioning in Software Defined Hardware

arXiv preprint arXiv:2202.01261

Matthew Feldman

Tian Zhao

Kunle Olukotun

2022/2/2

Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture

arXiv preprint arXiv:2211.03251

Olivia Hsu

Alexander Rucker

Tian Zhao

Kunle Olukotun

Fredrik Kjolstad

2022/11/7

Compilation of sparse array programming models

Proceedings of the ACM on Programming Languages

Rawn Henry

Olivia Hsu

Rohan Yadav

Stephen Chou

Kunle Olukotun

...

2021/10/15

Chopping off the tail: Bounded non-determinism for real-time accelerators

IEEE Computer Architecture Letters

Alexander Rucker

Muhammad Shahbaz

Kunle Olukotun

2021/8/4

Sara: Scaling a reconfigurable dataflow accelerator

Yaqi Zhang

Nathan Zhang

Tian Zhao

Matt Vilim

Muhammad Shahbaz

...

2021/6/14

Aurochs: An architecture for dataflow threads

Matthew Vilim

Alexander Rucker

Kunle Olukotun

2021/6/14

High performance lattice regression on FPGAs via a high level hardware description language

Nathan Zhang

Matthew Feldman

Kunle Olukotun

2021/12/6

Bayesian optimization with a prior for the optimum

Artur Souza

Luigi Nardi

Leonardo B Oliveira

Kunle Olukotun

Marius Lindauer

...

2021

Capstan: A vector RDA for sparsity

Alexander Rucker

Matthew Vilim

Tian Zhao

Yaqi Zhang

Raghu Prabhakar

...

2021/10/18

Gorgon: Accelerating machine learning from relational data

Matthew Vilim

Alexander Rucker

Yaqi Zhang

Sophia Liu

Kunle Olukotun

2020/5/30

Plasticine—A Universal Data Analytics Accelerator

Leland Stanford Junior University Stanford United States

Kunle Olukotun

2020/3/1

See List of Professors in Kunle Olukotun University(Stanford University)

Co-Authors

H-index: 97
Patrick Hanrahan

Patrick Hanrahan

Stanford University

H-index: 90
Christos Kozyrakis

Christos Kozyrakis

Stanford University

H-index: 78
Trevor Mudge

Trevor Mudge

University of Michigan-Dearborn

H-index: 59
Martin Odersky

Martin Odersky

École Polytechnique Fédérale de Lausanne

H-index: 36
Tiark Rompf

Tiark Rompf

Purdue University

academic-engine