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

Featured Co-authors

Yuxin Chen
86 publications
Jeremy Kepner
70 publications
Carl Yang
35 publications
Aydin Buluc
33 publications
Yixuan Li
33 publications
Henning Meyerhenke
21 publications
James Sharpnack
19 publications
Martin Farach-Colton
17 publications
Katherine Yelick
15 publications
Manoj Kumar
13 publications
Leyuan Wang
12 publications

∙ 01/19/2022

Building a Performance Model for Deep Learning Recommendation Model Training on GPUs

We devise a performance model for GPU training of Deep Learning Recommen...

Zhongyi Lin, et al. ∙

∙ 11/30/2021

Atos: A Task-Parallel GPU Dynamic Scheduling Framework for Dynamic Irregular Computations

We present Atos, a task-parallel GPU dynamic scheduling framework that i...

Yuxin Chen, et al. ∙

∙ 09/29/2021

Unified Shader Programming in C++

In real-time graphics, the strict separation of programming languages an...

Kerry A. Seitz Jr., et al. ∙

∙ 08/16/2021

Better GPU Hash Tables

We revisit the problem of building static hash tables on the GPU and des...

Muhammad A. Awad, et al. ∙

∙ 10/08/2020

Energy-based Out-of-distribution Detection

Determining whether inputs are out-of-distribution (OOD) is an essential...

Weitang Liu, et al. ∙

∙ 03/01/2020

Fast Gunrock Subgraph Matching (GSM) on GPUs

In this paper, we propose a novel method, GSM (Gunrock Subgraph Matching...

Leyuan Wang, et al. ∙

∙ 11/21/2019

Unsupervised Object Segmentation with Explicit Localization Module

In this paper, we propose a novel architecture that iteratively discover...

Weitang Liu, et al. ∙

∙ 09/04/2019

Fast BFS-Based Triangle Counting on GPUs

In this paper, we propose a novel method to compute triangle counting on...

Leyuan Wang, et al. ∙

∙ 08/04/2019

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

High-performance implementations of graph algorithms are challenging to ...

Carl Yang, et al. ∙

∙ 02/23/2019

VoroCrust: Voronoi Meshing Without Clipping

Polyhedral meshes are increasingly becoming an attractive option with pa...

Ahmed Abdelkader, et al. ∙

∙ 05/20/2018

Object Localization and Motion Transfer learning with Capsules

Inspired by CapsNet's routing-by-agreement mechanism, with its ability t...

Weitang Liu, et al. ∙

∙ 04/18/2018

A Comparative Study on Exact Triangle Counting Algorithms on the GPU

We implement exact triangle counting in graphs on the GPU using three di...

Leyuan Wang, et al. ∙

∙ 04/10/2018

Implementing Push-Pull Efficiently in GraphBLAS

We factor Beamer's push-pull, also known as direction-optimized breadth-...

Carl Yang, et al. ∙

∙ 03/22/2018

Design Principles for Sparse Matrix Multiplication on the GPU

We implement two novel algorithms for sparse-matrix dense-matrix multipl...

Carl Yang, et al. ∙

∙ 03/16/2018

Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm

We study the problem of decomposing a volume bounded by a smooth surface...

Ahmed Abdelkader, et al. ∙

∙ 03/11/2018

Scalable Breadth-First Search on a GPU Cluster

On a GPU cluster, the ratio of high computing power to communication ban...

Yuechao Pan, et al. ∙

∙ 03/11/2018

Salable Breadth-First Search on a GPU Cluster

On a GPU cluster, the ratio of high computing power to communication ban...

Yuechao Pan, et al. ∙

∙ 10/30/2017

A Dynamic Hash Table for the GPU

We design and implement a fully concurrent dynamic hash table for GPUs w...

Saman Ashkiani, et al. ∙

∙ 06/18/2016

Mathematical Foundations of the GraphBLAS

The GraphBLAS standard (GraphBlas.org) is being developed to bring the p...

Jeremy Kepner, et al. ∙

∙ 04/25/2014

Piko: A Design Framework for Programmable Graphics Pipelines

We present Piko, a framework for designing, optimizing, and retargeting ...

Anjul Patney, et al. ∙

∙ 02/16/2013

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...

Mohamed S. Ebeida, et al. ∙

∙ 01/13/2012

Finding Convex Hulls Using Quickhull on the GPU

We present a convex hull algorithm that is accelerated on commodity grap...

Stanley Tzeng, et al. ∙

∙ 10/20/2011

Efficient Synchronization Primitives for GPUs

In this paper, we revisit the design of synchronization primitives---spe...

Jeff A. Stuart, et al. ∙