John D. Owens | DeepAI

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∙ 06/17/2023

BOBA: A Parallel Lightweight Graph Reordering Algorithm with Heavyweight Implications

We describe a simple parallel-friendly lightweight graph reordering algo...

0 Matthew Drescher, et al. ∙

∙ 01/12/2023

A Programming Model for GPU Load Balancing

We propose a GPU fine-grained load-balancing abstraction that decouples ...

0 Muhammad Osama, et al. ∙

∙ 01/09/2023

Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU

We introduce Stream-K, a work-centric parallelization of matrix multipli...

0 Muhammad Osama, et al. ∙

∙ 12/15/2022

Essentials of Parallel Graph Analytics

We identify the graph data structure, frontiers, operators, an iterative...

0 Muhammad Osama, et al. ∙

∙ 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...

7 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...

0 Yuxin Chen, et al. ∙

∙ 09/29/2021

Unified Shader Programming in C++

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

0 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...

0 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...

30 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...

0 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...

12 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...

0 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 ...

0 Carl Yang, et al. ∙

∙ 02/23/2019

VoroCrust: Voronoi Meshing Without Clipping

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

0 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...

0 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...

0 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-...

0 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...

0 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...

0 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...

0 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...

0 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...

0 Saman Ashkiani, et al. ∙

∙ 06/18/2016

Mathematical Foundations of the GraphBLAS

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

0 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 ...

0 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...

0 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...

0 Stanley Tzeng, et al. ∙

∙ 10/20/2011

Efficient Synchronization Primitives for GPUs

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

0 Jeff A. Stuart, et al. ∙

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