Roger A. Pearce

According to our database, Roger A. Pearce authored at least 68 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Distributed approximate minimal Steiner trees with millions of seed vertices on billion-edge graphs.

Tahsin Reza, Trevor Steil, Geoffrey Sanders, Roger Pearce

J. Parallel Distributed Comput., November, 2023

Scalable Edge Clustering of Dynamic Graphs via Weighted Line Graphs.

Michael Ostroski, Geoffrey Sanders, Trevor Steil, Roger Pearce

CoRR, 2023

Embracing Irregular Parallelism in HPC with YGM.

Trevor Steil, Tahsin Reza, Benjamin Priest, Roger Pearce

Proceedings of the International Conference for High Performance Computing, 2023

Towards A Massive-scale Distributed Neighborhood Graph Construction.

Keita Iwabuchi, Trevor Steil, Benjamin Priest, Roger Pearce, Geoffrey Sanders

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Coordinated Botnet Detection in Social Networks via Clustering Analysis.

Preston Piercey, Roger Pearce, Nate Veldt

Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

Optimizing a Distributed Graph Data Structure for K - Path Centrality Estimation on HPC.

Lance G. Fletcher, Trevor Steil, Roger Pearce

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Enabling Scalable and Extensible Memory-Mapped Datastores in Userspace.

Ivy Bo Peng, Maya B. Gokhale, Karim Youssef, Keita Iwabuchi, Roger Pearce

IEEE Trans. Parallel Distributed Syst., 2022

Metall: A persistent memory allocator for data-centric analytics.

Keita Iwabuchi, Karim Youssef, Kaushik Velusamy, Maya B. Gokhale, Roger Pearce

Parallel Comput., 2022

A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology.

Sergio E. Baranzini, Katy Börner, John H. Morris, Charlotte A. Nelson, Karthik Soman, Erica Schleimer, Michael J. Keiser, Mark A. Musen, Roger Pearce, Tahsin Reza, Brett Smith, Bruce William Herr II, Boris Oskotsky, Angela Rizk-Jackson, Katherine P. Rankin, Stephan J. Sanders, Riley Bove, Peter W. Rose, Sharat Israni, Sui Huang

AI Mag., 2022

Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs.

Tahsin Reza, Geoffrey Sanders, Roger Pearce

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace.

Karim Youssef, Niteya Shah, Maya B. Gokhale, Roger Pearce, Wu-chun Feng

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures.

Karim Youssef, Abdullah Al Raqibul Islam, Keita Iwabuchi, Wu-chun Feng, Roger Pearce

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Massive-Scale Distributed Triangle Computation and Applications.

Geoffrey Sanders, Roger Pearce, Benjamin W. Priest, Trevor Steil

Proceedings of the Massive Graph Analytics, 2022

2021

Scalable Pattern Matching in Metadata Graphs via Constraint Checking.

Tahsin Reza, Hassan Halawa, Matei Ripeanu, Geoffrey Sanders, Roger A. Pearce

ACM Trans. Parallel Comput., 2021

TriPoll: computing surveys of triangles in massive-scale temporal graphs with metadata.

Trevor Steil, Tahsin Reza, Keita Iwabuchi, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce

Proceedings of the International Conference for High Performance Computing, 2021

Towards Scalable Data Processing in Python with CLIPPy.

Peter Pirkelbauer, Seth Bromberger, Keita Iwabuchi, Roger Pearce

Proceedings of the 11th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2021

PMap: A Non-volatile Lock-free Hash Map with Open Addressing.

Kenneth Lamar, Christina L. Peterson, Damian Dechev, Roger Pearce, Keita Iwabuchi, Peter Pirkelbauer

Proceedings of the 10th IEEE Non-Volatile Memory Systems and Applications Symposium, 2021

Privateer: Multi-versioned Memory-mapped Data Stores for High-Performance Data Science.

Karim Youssef, Keita Iwabuchi, Wu-Chun Feng, Roger Pearce

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Towards Distributed Square Counting in Large Graphs.

Trevor Steil, Geoffrey Sanders, Roger Pearce

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

Towards Interactive Pattern Search in Massive Graphs.

Tahsin Reza, Matei Ripeanu, Geoffrey Sanders, Roger Pearce

Proceedings of the GRADES-NDA'20: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2020

Approximate Pattern Matching in Massive Graphs with Precision and Recall Guarantees.

Tahsin Reza, Matei Ripeanu, Geoffrey Sanders, Roger Pearce

Proceedings of the 2020 International Conference on Management of Data, 2020

Labeled Triangle Indexing for Efficiency Gains in Distributed Interactive Subgraph Search††This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 (LLNL-CONF-814976). Experiments were performed at the Livermore Computing facility.

Tahsin Reza, Matei Ripeanu, Geoffrey Sanders, Roger Pearce

Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2020

On the Memory Underutilization: Exploring Disaggregated Memory on HPC Systems.

Ivy Bo Peng, Roger Pearce, Maya B. Gokhale

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

Kronecker Graph Generation with Ground Truth for 4-Cycles and Dense Structure in Bipartite Graphs.

Trevor Steil, Scott McMillan, Geoffrey Sanders, Roger Pearce, Benjamin Priest

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Considerations for a Distributed GraphBLAS API.

Benjamin Brock, Aydin Buluç, Timothy G. Mattson, Scott McMillan, José E. Moreira, Roger Pearce, Oguz Selvitopi, Trevor Steil

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019

UMap: Enabling Application-driven Optimizations for Page Management.

Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale

Proceedings of the 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing, 2019

Preparation and optimization of a diverse workload for a large-scale heterogeneous system.

Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz

Proceedings of the International Conference for High Performance Computing, 2019

Metall: A Persistent Memory Allocator Enabling Graph Processing.

Keita Iwabuchi, Lance Lebanoff, Maya B. Gokhale, Roger Pearce

Proceedings of the 9th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2019

Distributed Kronecker Graph Generation with Ground Truth of Many Graph Properties.

Trevor Steil, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce, Timothy La Fond, Keita Iwabuchi

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Incremental Graph Processing for On-line Analytics.

Scott Sallinen, Roger Pearce, Matei Ripeanu

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

You've Got Mail (YGM): Building Missing Asynchronous Communication Primitives.

Benjamin Priest, Trevor Steil, Geoffrey Sanders, Roger Pearce

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

One Quadrillion Triangles Queried on One Million Processors.

Roger Pearce, Trevor Steil, Benjamin W. Priest, Geoffrey Sanders

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018

There are Trillions of Little Forks in the Road. Choose Wisely! - Estimating the Cost and Likelihood of Success of Constrained Walks to Optimize a Graph Pruning Pipeline.

Nicolas Tripoul, Hassan Halawa, Tahsin Reza, Geoffrey Sanders, Roger Pearce, Matei Ripeanu

Proceedings of the 8th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2018

PruneJuice: pruning trillion-edge graphs to a precise pattern-matching solution.

Tahsin Reza, Matei Ripeanu, Nicolas Tripoul, Geoffrey Sanders, Roger Pearce

Proceedings of the International Conference for High Performance Computing, 2018

On Large-Scale Graph Generation with Validation of Diverse Triangle Statistics at Edges and Vertices.

Geoffrey Sanders, Roger Pearce, Timothy La Fond, Jeremy Kepner

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Scalable Breadth-First Search on a GPU Cluster.

Yuechao Pan, Roger Pearce, John D. Owens

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Design, Generation, and Validation of Extreme Scale Power-Law Graphs.

Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoffrey Sanders, Charles Yee, Albert Reuther

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Estimating Edge-Local Triangle Count Heavy Hitters in Edge-Linear Time and Almost-Vertex-Linear Space.

Benjamin W. Priest, Roger Pearce, Geoffrey Sanders

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

K-truss decomposition for Scale-Free Graphs at Scale in Distributed Memory.

Roger Pearce, Geoffrey Sanders

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Computing Exact Vertex Eccentricity on Massive-Scale Distributed Graphs.

Keita Iwabuchi, Geoffrey Sanders, Keith Henderson, Roger Pearce

Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017

Towards Scalable Parallel Training of Deep Neural Networks.

Sam Ade Jacobs, Nikoli Dryden, Roger A. Pearce, Brian Van Essen

Proceedings of the Machine Learning on HPC Environments, 2017

Performance Evaluation of Scale-Free Graph Algorithms in Low Latency Non-volatile Memory.

Manu Shantharam, Keita Iwabuchi, Pietro Cicotti, Laura Carrington, Maya B. Gokhale, Roger A. Pearce

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration).

Kevin A. Brown, Tianqi Xu, Keita Iwabuchi, Kento Sato, Adam Moody, Kathryn M. Mohror, Nikhil Jain, Abhinav Bhatele, Martin Schulz, Roger A. Pearce, Maya B. Gokhale, Satoshi Matsuoka

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

Triangle counting for scale-free graphs at scale in distributed memory.

Roger Pearce

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Towards Practical and Robust Labeled Pattern Matching in Trillion-Edge Graphs.

Tahsin Reza, Christine Klymko, Matei Ripeanu, Geoffrey Sanders, Roger A. Pearce

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Graph colouring as a challenge problem for dynamic graph processing on distributed systems.

Scott Sallinen, Keita Iwabuchi, Suraj Poudel, Maya B. Gokhale, Matei Ripeanu, Roger A. Pearce

Proceedings of the International Conference for High Performance Computing, 2016

Towards a Distributed Large-Scale Dynamic Graph Data Store.

Keita Iwabuchi, Scott Sallinen, Roger A. Pearce, Brian Van Essen, Maya B. Gokhale, Satoshi Matsuoka

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Large-Scale Deep Learning on the YFCC100M Dataset.

Karl Ni, Roger A. Pearce, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, Eric X. Wang

CoRR, 2015

DI-MMAP - a scalable memory-map runtime for out-of-core data-intensive applications.

Brian Van Essen, Henry Hsieh, Sasha Ames, Roger A. Pearce, Maya B. Gokhale

Clust. Comput., 2015

LBANN: livermore big artificial neural network HPC toolkit.

Brian Van Essen, Hyojin Kim, Roger A. Pearce, Kofi Boakye, Barry Chen

Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, 2015

Kickstarting the Commons: The YFCC100M and the YLI Corpora.

Julia Bernd, Damian Borth, Carmen Carrano, Jaeyoung Choi, Benjamin Elizalde, Gerald Friedland, Luke R. Gottlieb, Karl Ni, Roger A. Pearce, Douglas Poland, Khalid Ashraf, David A. Shamma, Bart Thomee

Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions, 2015

2014

Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex Delegates.

Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato

Proceedings of the International Conference for High Performance Computing, 2014

The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images.

Jaeyoung Choi, Bart Thomee, Gerald Friedland, Liangliang Cao, Karl Ni, Damian Borth, Benjamin Elizalde, Luke R. Gottlieb, Carmen Carrano, Roger A. Pearce, Douglas Poland

Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its Applications in Multimedia, 2014

2013

Scaling Techniques for Massive Scale-Free Graphs in Distributed (External) Memory.

Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

2012

On the Role of NVRAM in Data-intensive Architectures: An Evaluation.

Brian Van Essen, Roger A. Pearce, Sasha Ames, Maya B. Gokhale

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

2011

A scalable eigensolver for large scale-free graphs using 2D graph partitioning.

Andy Yoo, Allison H. Baker, Roger A. Pearce, Van Emden Henson

Proceedings of the Conference on High Performance Computing Networking, 2011

2010

Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory.

Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato

Proceedings of the Conference on High Performance Computing Networking, 2010

2008

Hardware Technologies for High-Performance Data-Intensive Computing.

Maya B. Gokhale, Jonathan D. Cohen, Andy Yoo, William Marcus Miller, Arpith C. Jacob, Craig D. Ulmer, Roger A. Pearce

Computer, 2008

Structural Improvement Filtering Strategy for PRM.

Roger A. Pearce, Marco Morales, Nancy M. Amato

Proceedings of the Robotics: Science and Systems IV, 2008

2007

Analysis of the Evolution of C-Space Models built through Incremental Exploration.

Marco Morales, Roger A. Pearce, Nancy M. Amato

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006

Incremental Map Generation (IMG).

Dawen Xie, Marco Morales, Roger A. Pearce, Shawna L. Thomas, Jyh-Ming Lien, Nancy M. Amato

Proceedings of the Algorithmic Foundation of Robotics VII, 2006

RESAMPL: A Region-Sensitive Adaptive Motion Planner.

Samuel Rodríguez, Shawna L. Thomas, Roger A. Pearce, Nancy M. Amato

Proceedings of the Algorithmic Foundation of Robotics VII, 2006

Metrics for Analyzing the Evolution of C-space Models.

Marco Morales, Roger A. Pearce, Nancy M. Amato

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005

C-space Subdivision and Integration in Feature-Sensitive Motion Planning.

Marco Morales, Lydia Tapia, Roger A. Pearce, Samuel Rodríguez, Nancy M. Amato

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004

A Machine Learning Approach for Feature-Sensitive Motion Planning.

Marco Morales, Lydia Tapia, Roger A. Pearce, Samuel Rodríguez, Nancy M. Amato

Proceedings of the Algorithmic Foundations of Robotics VI, 2004

2003

Feature-based localization using scannable visibility sectors.

Jinsuck Kim, Roger A. Pearce, Nancy M. Amato

Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Extracting optimal paths from roadmaps for motion planning.

Jinsuck Kim, Roger A. Pearce, Nancy M. Amato

Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

2002

Robust geometric-based localization in indoor environments using sonar range sensors.

Jinsuck Kim, Roger A. Pearce, Nancy M. Amato

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002