John D. Owens

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University of California-Davis

Child Family Professor of Engineering and Entrepreneurship at University of California, Davis since 2014, Visiting Scientist at Lawrence Berkeley National Laboratory since 2010, Visiting Scientist at Los Alamos National Laboratory since 2005, Associate Professor at University of California, Davis from 2008-2014, Software Engineer (Sabbatical) at Twitter 2012

Energy-based Out-of-distribution Detection

Determining whether inputs are out-of-distribution (OOD) is an essential...
10/08/2020 ∙ by Weitang Liu, et al. ∙ 30 ∙ share

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Fast Gunrock Subgraph Matching (GSM) on GPUs

In this paper, we propose a novel method, GSM (Gunrock Subgraph Matching...
03/01/2020 ∙ by Leyuan Wang, et al. ∙ 0 ∙ share

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Unsupervised Object Segmentation with Explicit Localization Module

In this paper, we propose a novel architecture that iteratively discover...
11/21/2019 ∙ by Weitang Liu, et al. ∙ 12 ∙ share

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Fast BFS-Based Triangle Counting on GPUs

In this paper, we propose a novel method to compute triangle counting on...
09/04/2019 ∙ by Leyuan Wang, et al. ∙ 0 ∙ share

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GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU

High-performance implementations of graph algorithms are challenging to ...
08/04/2019 ∙ by Carl Yang, et al. ∙ 0 ∙ share

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VoroCrust: Voronoi Meshing Without Clipping

Polyhedral meshes are increasingly becoming an attractive option with pa...
02/23/2019 ∙ by Ahmed Abdelkader, et al. ∙ 0 ∙ share

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Object Localization and Motion Transfer learning with Capsules

Inspired by CapsNet's routing-by-agreement mechanism, with its ability t...
05/20/2018 ∙ by Weitang Liu, et al. ∙ 0 ∙ share

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A Comparative Study on Exact Triangle Counting Algorithms on the GPU

We implement exact triangle counting in graphs on the GPU using three di...
04/18/2018 ∙ by Leyuan Wang, et al. ∙ 0 ∙ share

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Implementing Push-Pull Efficiently in GraphBLAS

We factor Beamer's push-pull, also known as direction-optimized breadth-...
04/10/2018 ∙ by Carl Yang, et al. ∙ 0 ∙ share

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Design Principles for Sparse Matrix Multiplication on the GPU

We implement two novel algorithms for sparse-matrix dense-matrix multipl...
03/22/2018 ∙ by Carl Yang, et al. ∙ 0 ∙ share

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Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm

We study the problem of decomposing a volume bounded by a smooth surface...
03/16/2018 ∙ by Ahmed Abdelkader, et al. ∙ 0 ∙ share

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Scalable Breadth-First Search on a GPU Cluster

On a GPU cluster, the ratio of high computing power to communication ban...
03/11/2018 ∙ by Yuechao Pan, et al. ∙ 0 ∙ share

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Salable Breadth-First Search on a GPU Cluster

On a GPU cluster, the ratio of high computing power to communication ban...
03/11/2018 ∙ by Yuechao Pan, et al. ∙ 0 ∙ share

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A Dynamic Hash Table for the GPU

We design and implement a fully concurrent dynamic hash table for GPUs w...
10/30/2017 ∙ by Saman Ashkiani, et al. ∙ 0 ∙ share

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Mathematical Foundations of the GraphBLAS

The GraphBLAS standard (GraphBlas.org) is being developed to bring the p...
06/18/2016 ∙ by Jeremy Kepner, et al. ∙ 0 ∙ share

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Piko: A Design Framework for Programmable Graphics Pipelines

We present Piko, a framework for designing, optimizing, and retargeting ...
04/25/2014 ∙ by Anjul Patney, et al. ∙ 0 ∙ share

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k-d Darts: Sampling by k-Dimensional Flat Searches

We formalize the notion of sampling a function using k-d darts. A k-d da...
02/16/2013 ∙ by Mohamed S. Ebeida, et al. ∙ 0 ∙ share

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Finding Convex Hulls Using Quickhull on the GPU

We present a convex hull algorithm that is accelerated on commodity grap...
01/13/2012 ∙ by Stanley Tzeng, et al. ∙ 0 ∙ share

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Efficient Synchronization Primitives for GPUs

In this paper, we revisit the design of synchronization primitives---spe...
10/20/2011 ∙ by Jeff A. Stuart, et al. ∙ 0 ∙ share

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John D. Owens

Featured Co-authors

Jeremy Kepner

Aydin Buluc

James Sharpnack

Carl Yang

Henning Meyerhenke

Manoj Kumar

Yixuan Li

Martin Farach-Colton

Leyuan Wang

Dylan Hutchison

Weitang Liu

Energy-based Out-of-distribution Detection

Fast Gunrock Subgraph Matching (GSM) on GPUs

Unsupervised Object Segmentation with Explicit Localization Module

Fast BFS-Based Triangle Counting on GPUs

GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU

VoroCrust: Voronoi Meshing Without Clipping

Object Localization and Motion Transfer learning with Capsules

A Comparative Study on Exact Triangle Counting Algorithms on the GPU

Implementing Push-Pull Efficiently in GraphBLAS

Design Principles for Sparse Matrix Multiplication on the GPU

Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm

Scalable Breadth-First Search on a GPU Cluster

Salable Breadth-First Search on a GPU Cluster

A Dynamic Hash Table for the GPU

Mathematical Foundations of the GraphBLAS

Piko: A Design Framework for Programmable Graphics Pipelines

k-d Darts: Sampling by k-Dimensional Flat Searches

Finding Convex Hulls Using Quickhull on the GPU

Efficient Synchronization Primitives for GPUs