Kunle Olukotun

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 69

Top Venues

Publications

Alexander C. Rucker, Shiv Sundram, Coleman Smith, Matthew Vilim, Raghu Prabhakar, Fredrik Kjølstad, Kunle Olukotun
Revet: A Language and Compiler for Dataflow Threads. HPCA (2024)
Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du, Mingran Wang, Xiangyu Song, Kejie Zhang, Tianren Gao, Angela Wang, Karen Li, Yongning Sheng, Joshua Brot, Denis Sokolov, Apurv Vivek, Calvin Leung, Arjun Sabnis, Jiayu Bai, Tuowen Zhao, Mark Gottscho, David Jackson, Mark Luttrell, Manish K. Shah, Edison Chen, Kaizhao Liang, Swayambhoo Jain, Urmish Thakker, Dawei Huang, Sumti Jairath, Kevin J. Brown, Kunle Olukotun
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. CoRR (2024)
Gina Sohn, Nathan Zhang, Kunle Olukotun
Implementing and Optimizing the Scaled Dot-Product Attention on Streaming Dataflow. CoRR (2024)
Nathan Zhang, Rubens Lacouture, Gina Sohn, Paul Mure, Qizheng Zhang, Fredrik Kjolstad, Kunle Olukotun
The Dataflow Abstract Machine Simulator Framework. ISCA (2024)
Qizheng Zhang, Ali Imran, Enkeleda Bardhi, Tushar Swamy, Nathan Zhang, Muhammad Shahbaz, Kunle Olukotun
Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents. OSDI (2024)
Tian Zhao, Alexander Rucker, Kunle Olukotun
Sigma: Compiling Einstein Summations to Locality-Aware Dataflow. ASPLOS (2) (2023)
Erik Orm Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. ASPLOS (4) (2023)
Alexander Rucker, Shiv Sundram, Coleman Smith, Matthew Vilim, Raghu Prabhakar, Fredrik Kjolstad, Kunle Olukotun
Revet: A Language and Compiler for Dataflow Threads. CoRR (2023)
Olivia Hsu, Maxwell Strange, Ritvik Sharma, Jaeyeon Won, Kunle Olukotun, Joel S. Emer, Mark A. Horowitz, Fredrik Kjølstad
The Sparse Abstract Machine. ASPLOS (3) (2023)
Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks. ASPLOS (3) (2023)
Manya Bansal, Olivia Hsu, Kunle Olukotun, Fredrik Kjolstad
Mosaic: An Interoperable Compiler for Tensor Algebra. Proc. ACM Program. Lang. 7 (PLDI) (2023)
Erik Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. CoRR (2022)
Tushar Swamy, Alexander Rucker, Muhammad Shahbaz, Ishan Gaur, Kunle Olukotun
Taurus: a data plane architecture for per-packet ML. ASPLOS (2022)
Matthew Feldman, Tian Zhao, Kunle Olukotun
Efficient Memory Partitioning in Software Defined Hardware. CoRR (2022)
Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks. CoRR (2022)
Olivia Hsu, Alexander Rucker, Tian Zhao, Kunle Olukotun, Fredrik Kjolstad
Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture. CoRR (2022)
Sho Ko, Alexander Rucker, Yaqi Zhang, Paul Mure, Kunle Olukotun
Accelerating SLIDE: Exploiting Sparsity on Accelerator Architectures. IPDPS Workshops (2022)
Olivia Hsu, Maxwell Strange, Jaeyeon Won, Ritvik Sharma, Kunle Olukotun, Joel S. Emer, Mark Horowitz, Fredrik Kjolstad
The Sparse Abstract Machine. CoRR (2022)
Alexander Rucker, Muhammad Shahbaz, Kunle Olukotun
Chopping off the Tail: Bounded Non-Determinism for Real-Time Accelerators. IEEE Comput. Archit. Lett. 20 (2) (2021)
Alexander Rucker, Matthew Vilim, Tian Zhao, Yaqi Zhang, Raghu Prabhakar, Kunle Olukotun
Capstan: A Vector RDA for Sparsity. MICRO (2021)
Matthew Vilim, Alexander Rucker, Kunle Olukotun
Aurochs: An Architecture for Dataflow Threads. ISCA (2021)
Rawn Henry, Olivia Hsu, Rohan Yadav, Stephen Chou, Kunle Olukotun, Saman P. Amarasinghe, Fredrik Kjolstad
Compilation of sparse array programming models. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Alexander Rucker, Matthew Vilim, Tian Zhao, Yaqi Zhang, Raghu Prabhakar, Kunle Olukotun
Capstan: A Vector RDA for Sparsity. CoRR (2021)
Artur L. F. Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
Bayesian Optimization with a Prior for the Optimum. ECML/PKDD (3) (2021)
Nathan Zhang, Matthew Feldman, Kunle Olukotun
High performance lattice regression on FPGAs via a high level hardware description language. FPT (2021)
Kunle Olukotun
"Let the Data Flow!". CIDR (2021)
Yaqi Zhang, Nathan Zhang, Tian Zhao, Matt Vilim, Muhammad Shahbaz, Kunle Olukotun
SARA: Scaling a Reconfigurable Dataflow Accelerator. ISCA (2021)
Matthew Vilim, Alexander Rucker, Yaqi Zhang, Sophia Liu, Kunle Olukotun
Gorgon: Accelerating Machine Learning from Relational Data. ISCA (2020)
Tushar Swamy, Alexander Rucker, Muhammad Shahbaz, Kunle Olukotun
Taurus: An Intelligent Data Plane. CoRR (2020)
Artur L. F. Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
Prior-guided Bayesian Optimization. CoRR (2020)
Tian Zhao, Yaqi Zhang, Kunle Olukotun
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator. MLSys (2019)
Yaqi Zhang, Alexander Rucker, Matthew Vilim, Raghu Prabhakar, William Hwang, Kunle Olukotun
Scalable interconnects for reconfigurable spatial architectures. ISCA (2019)
Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
Polystore++: Accelerated Polystore System for Heterogeneous Workloads. ICDCS (2019)
Luigi Nardi, David Koeplinger, Kunle Olukotun
Practical Design Space Exploration. MASCOTS (2019)
Rekha Singhal, Yaqi Zhang, Jeffrey D. Ullman, Raghu Prabhakar, Kunle Olukotun
Efficient Multiway Hash Join on Reconfigurable Hardware. TPCTC (2019)
Artur L. F. Souza, Leonardo B. Oliveira, Sabine Hollatz, Matthew Feldman, Kunle Olukotun, James M. Holton, Aina E. Cohen, Luigi Nardi
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning. CoRR (2019)
Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. ACM SIGOPS Oper. Syst. Rev. 53 (1) (2019)
Kunle Olukotun, Raghu Prabhakar, Rekha Singhal, Jeffrey D. Ullman, Yaqi Zhang
Efficient Multiway Hash Join on Reconfigurable Hardware. CoRR (2019)
Luigi Nardi, Artur L. F. Souza, David Koeplinger, Kunle Olukotun
HyperMapper: a Practical Design Space Exploration Framework. MASCOTS (2019)
Tian Zhao, Yaqi Zhang, Kunle Olukotun
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator. CoRR (2019)
Alexander Rucker, Muhammad Shahbaz, Tushar Swamy, Kunle Olukotun
Elastic RSS: Co-Scheduling Packets and Cores Using Programmable NICs. APNet (2019)
Stefan Hadjis, Kunle Olukotun
TensorFlow to Cloud FPGAs: Tradeoffs for Accelerating Deep Neural Networks. FPL (2019)
Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
Polystore++: Accelerated Polystore System for Heterogeneous Workloads. CoRR (2019)
Grégory M. Essertel, Ruby Y. Tahboub, James M. Decker, Kevin J. Brown, Kunle Olukotun, Tiark Rompf
Flare: Optimizing Apache Spark with Native Compilation for Scale-Up Architectures and Medium-Size Data. OSDI (2018)
Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. CoRR (2018)
Luigi Nardi, David Koeplinger, Kunle Olukotun
Practical Design Space Exploration. CoRR (2018)
Christopher De Sa, Megan Leszczynski, Jian Zhang, Alana Marzoev, Christopher R. Aberger, Kunle Olukotun, Christopher Ré
High-Accuracy Low-Precision Training. CoRR (2018)
Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré
Exploring the Utility of Developer Exhaust. DEEM@SIGMOD (2018)
David Koeplinger, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun
Spatial: a language and compiler for application accelerators. PLDI (2018)
Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher Ré
LevelHeaded: A Unified Engine for Business Intelligence and Linear Algebra Querying. ICDE (2018)
Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun
Plasticine: A Reconfigurable Accelerator for Parallel Patterns. IEEE Micro 38 (3) (2018)
Grégory M. Essertel, Ruby Y. Tahboub, James M. Decker, Kevin J. Brown, Kunle Olukotun, Tiark Rompf
Flare: Native Compilation for Heterogeneous Workloads in Apache Spark. CoRR (2017)
Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher Ré
LevelHeaded: Making Worst-Case Optimal Joins Work in the Common Case. CoRR (2017)
Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun
Plasticine: A Reconfigurable Architecture For Parallel Paterns. ISCA (2017)
Christopher R. Aberger, Andrew Lamb, Susan Tu, Andres Nötzli, Kunle Olukotun, Christopher Ré
EmptyHeaded: A Relational Engine for Graph Processing. ACM Trans. Database Syst. 42 (4) (2017)
Christopher De Sa, Kunle Olukotun, Christopher Ré
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. IJCAI (2017)
Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher Ré
Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded. Proc. VLDB Endow. 10 (12) (2017)
Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
Infrastructure for Usable Machine Learning: The Stanford DAWN Project. CoRR (2017)
Christopher De Sa, Matthew Feldman, Christopher Ré, Kunle Olukotun
Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient Descent. ISCA (2017)
Christopher De Sa, Christopher Ré, Kunle Olukotun
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. ICML (2016)
David Koeplinger, Raghu Prabhakar, Yaqi Zhang, Christina Delimitrou, Christos Kozyrakis, Kunle Olukotun
Automatic Generation of Efficient Accelerators for Reconfigurable Hardware. ISCA (2016)
Kevin J. Brown, HyoukJoong Lee, Tiark Rompf, Arvind K. Sujeeth, Christopher De Sa, Christopher R. Aberger, Kunle Olukotun
Have abstraction and eat performance, too: optimized heterogeneous computing with parallel patterns. CGO (2016)
Christopher De Sa, Kunle Olukotun, Christopher Ré
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. CoRR (2016)
Tayo Oguntebi, Kunle Olukotun
GraphOps: A Dataflow Library for Graph Analytics Acceleration. FPGA (2016)
Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun
Generating Configurable Hardware from Parallel Patterns. ASPLOS (2016)
Kunle Olukotun
Scaling Data Analytics with Moore's Law. PACT (2016)
Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher Ré
EmptyHeaded: A Relational Engine for Graph Processing. SIGMOD Conference (2016)
Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher Ré
Old techniques for new join algorithms: A case study in RDF processing. ICDE Workshops (2016)
Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher Ré
Old Techniques for New Join Algorithms: A Case Study in RDF Processing. CoRR (2016)
Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms. NIPS (2015)
Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Arvind K. Sujeeth, Manohar Jonnalagedda, Nada Amin, Georg Ofenbeck, Alen Stojanov, Yannis Klonatos, Mohammad Dashti, Christoph Koch, Markus Püschel, Kunle Olukotun
Go Meta! A Case for Generative Programming and DSLs in Performance Critical Systems. SNAPL (2015)
Lawrence C. McAfee, Kunle Olukotun
EMEURO: a framework for generating multi-purpose accelerators via deep learning. CGO (2015)
Christopher R. Aberger, Andres Nötzli, Kunle Olukotun, Christopher Ré
EmptyHeaded: Boolean Algebra Based Graph Processing. CoRR (2015)
Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms. CoRR (2015)
Mohamed M. Sabry, Mingyu Gao, Gage Hills, Chi-Shuen Lee, Greg Pitner, Max M. Shulaker, Tony F. Wu, Mehdi Asheghi, Jeffrey Bokor, Franz Franchetti, Kenneth E. Goodson, Christos Kozyrakis, Igor L. Markov, Kunle Olukotun, Larry T. Pileggi, Eric Pop, Jan M. Rabaey, Christopher Ré, H.-S. Philip Wong, Subhasish Mitra
Energy-Efficient Abundant-Data Computing: The N3XT 1, 000x. Computer 48 (12) (2015)
Nithin George, HyoukJoong Lee, David Novo, Muhsen Owaida, David Andrews, Kunle Olukotun, Paolo Ienne
Automatic support for multi-module parallelism from computational patterns. FPL (2015)
Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width. CoRR (2015)
Christopher De Sa, Christopher Ré, Kunle Olukotun
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems. ICML (2015)
Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun
Generating Configurable Hardware from Parallel Patterns. CoRR (2015)
Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width. NIPS (2015)
Sungpack Hong, Semih Salihoglu, Jennifer Widom, Kunle Olukotun
Simplifying Scalable Graph Processing with a Domain-Specific Language. CGO (2014)
Arvind K. Sujeeth, Kevin J. Brown, HyoukJoong Lee, Tiark Rompf, Hassan Chafi, Martin Odersky, Kunle Olukotun
Delite: A Compiler Architecture for Performance-Oriented Embedded Domain-Specific Languages. ACM Trans. Embed. Comput. Syst. 13 (4s) (2014)
Kunle Olukotun, Lance Hammond, Mark Willey
Author's retrospective for: improving the performance of speculatively parallel applications on the hydra CMP. ICS 25th Anniversary (2014)
Christopher De Sa, Kunle Olukotun, Christopher Ré
Global Convergence of Stochastic Gradient Descent for Some Nonconvex Matrix Problems. CoRR (2014)
Nithin George, HyoukJoong Lee, David Novo, Tiark Rompf, Kevin J. Brown, Arvind K. Sujeeth, Martin Odersky, Kunle Olukotun, Paolo Ienne
Hardware system synthesis from Domain-Specific Languages. FPL (2014)
HyoukJoong Lee, Kevin J. Brown, Arvind K. Sujeeth, Tiark Rompf, Kunle Olukotun
Locality-Aware Mapping of Nested Parallel Patterns on GPUs. MICRO (2014)
Kunle Olukotun
Beyond parallel programming with domain specific languages. PPOPP (2014)
Tiark Rompf, Arvind K. Sujeeth, Kevin J. Brown, HyoukJoong Lee, Hassan Chafi, Kunle Olukotun
Surgical precision JIT compilers. PLDI (2014)
Alba de Melo, Jean-Luc Gaudiot, Luiz De Rose, Kunle Olukotun, Albert Y. Zomaya
Guest Editorial. Int. J. Parallel Program. 42 (1) (2014)
Jared Casper, Kunle Olukotun
Hardware acceleration of database operations. FPGA (2014)
Arvind K. Sujeeth, Austin Gibbons, Kevin J. Brown, HyoukJoong Lee, Tiark Rompf, Martin Odersky, Kunle Olukotun
Forge: generating a high performance DSL implementation from a declarative specification. GPCE (2013)
Arvind K. Sujeeth, Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Hassan Chafi, Victoria Popic, Michael Wu, Aleksandar Prokopec, Vojin Jovanovic, Martin Odersky, Kunle Olukotun
Composition and Reuse with Compiled Domain-Specific Languages. ECOOP (2013)
Sungpack Hong, Nicole C. Rodia, Kunle Olukotun
On fast parallel detection of strongly connected components (SCC) in small-world graphs. SC (2013)
Tiark Rompf, Arvind K. Sujeeth, Nada Amin, Kevin J. Brown, Vojin Jovanovic, HyoukJoong Lee, Manohar Jonnalagedda, Kunle Olukotun, Martin Odersky
Optimizing data structures in high-level programs: new directions for extensible compilers based on staging. POPL (2013)
Lawrence C. McAfee, Kunle Olukotun
Utilizing Static Analysis and Code Generation to Accelerate Neural Networks. ICML (2012)
Sungpack Hong, Tayo Oguntebi, Jared Casper, Nathan Grasso Bronson, Christos Kozyrakis, Kunle Olukotun
A case of system-level hardware/software co-design and co-verification of a commodity multi-processor system with custom hardware. CODES+ISSS (2012)
Sungpack Hong, Hassan Chafi, Eric Sedlar, Kunle Olukotun
Green-Marl: a DSL for easy and efficient graph analysis. ASPLOS (2012)
Kunle Olukotun
High performance embedded domain specific languages. ICFP (2012)
Ben Hertzberg, Kunle Olukotun
Runtime automatic speculative parallelization. CGO (2011)
Arvind K. Sujeeth, HyoukJoong Lee, Kevin J. Brown, Tiark Rompf, Hassan Chafi, Michael Wu, Anand R. Atreya, Martin Odersky, Kunle Olukotun
OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning. ICML (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kunle Olukotun