Roger A. Pearce

Publication Activity (10 Years)

Years Active: 2002-2021
Publications (10 Years): 7

Top Topics

Pattern Matching

Top Venues

IPDPS Workshops

Publications

Tahsin Reza, Hassan Halawa, Matei Ripeanu, Geoffrey Sanders, Roger A. Pearce
Scalable Pattern Matching in Metadata Graphs via Constraint Checking. ACM Trans. Parallel Comput. 8 (1) (2021)
Manu Shantharam, Keita Iwabuchi, Pietro Cicotti, Laura Carrington, Maya B. Gokhale, Roger A. Pearce
Performance Evaluation of Scale-Free Graph Algorithms in Low Latency Non-volatile Memory. IPDPS Workshops (2017)
Tahsin Reza, Christine Klymko, Matei Ripeanu, Geoffrey Sanders, Roger A. Pearce
Towards Practical and Robust Labeled Pattern Matching in Trillion-Edge Graphs. CLUSTER (2017)
Kevin A. Brown, Tianqi Xu, Keita Iwabuchi, Kento Sato, Adam Moody, Kathryn Mohror, Nikhil Jain, Abhinav Bhatele, Martin Schulz, Roger A. Pearce, Maya B. Gokhale, Satoshi Matsuoka
Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration). ICDCS Workshops (2017)
Sam Ade Jacobs, Nikoli Dryden, Roger A. Pearce, Brian Van Essen
Towards Scalable Parallel Training of Deep Neural Networks. MLHPC@SC (2017)
Keita Iwabuchi, Scott Sallinen, Roger A. Pearce, Brian Van Essen, Maya B. Gokhale, Satoshi Matsuoka
Towards a Distributed Large-Scale Dynamic Graph Data Store. IPDPS Workshops (2016)
Scott Sallinen, Keita Iwabuchi, Suraj Poudel, Maya B. Gokhale, Matei Ripeanu, Roger A. Pearce
Graph colouring as a challenge problem for dynamic graph processing on distributed systems. SC (2016)
Karl Ni, Roger A. Pearce, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, Eric X. Wang
Large-Scale Deep Learning on the YFCC100M Dataset. CoRR (2015)
Brian Van Essen, Henry Hsieh, Sasha Ames, Roger A. Pearce, Maya B. Gokhale
DI-MMAP - a scalable memory-map runtime for out-of-core data-intensive applications. Clust. Comput. 18 (1) (2015)
Brian Van Essen, Hyojin Kim, Roger A. Pearce, Kofi Boakye, Barry Chen
LBANN: livermore big artificial neural network HPC toolkit. MLHPC@SC (2015)
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
Kickstarting the Commons: The YFCC100M and the YLI Corpora. MMCommons@ACM Multimedia (2015)
Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato
Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex Delegates. SC (2014)
Jaeyoung Choi, Bart Thomee, Gerald Friedland, Liangliang Cao, Karl Ni, Damian Borth, Benjamin Elizalde, Luke R. Gottlieb, Carmen Carrano, Roger A. Pearce, Douglas Poland
The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images. GeoMM (2014)
Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato
Scaling Techniques for Massive Scale-Free Graphs in Distributed (External) Memory. IPDPS (2013)
Brian Van Essen, Roger A. Pearce, Sasha Ames, Maya B. Gokhale
On the Role of NVRAM in Data-intensive Architectures: An Evaluation. IPDPS (2012)
Andy Yoo, Allison H. Baker, Roger A. Pearce, Van Emden Henson
A scalable eigensolver for large scale-free graphs using 2D graph partitioning. SC (2011)
Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato
Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory. SC (2010)
Maya B. Gokhale, Jonathan D. Cohen, Andy Yoo, William Marcus Miller, Arpith C. Jacob, Craig D. Ulmer, Roger A. Pearce
Hardware Technologies for High-Performance Data-Intensive Computing. Computer 41 (4) (2008)
Roger A. Pearce, Marco Morales, Nancy M. Amato
Structural Improvement Filtering Strategy for PRM. Robotics: Science and Systems (2008)
Marco Morales, Roger A. Pearce, Nancy M. Amato
Analysis of the Evolution of C-Space Models built through Incremental Exploration. ICRA (2007)
Samuel Rodríguez, Shawna L. Thomas, Roger A. Pearce, Nancy M. Amato
RESAMPL: A Region-Sensitive Adaptive Motion Planner. WAFR (2006)
Dawen Xie, Marco Morales, Roger A. Pearce, Shawna L. Thomas, Jyh-Ming Lien, Nancy M. Amato
Incremental Map Generation (IMG). WAFR (2006)
Marco Morales, Roger A. Pearce, Nancy M. Amato
Metrics for Analyzing the Evolution of C-space Models. ICRA (2006)
Marco Morales, Lydia Tapia, Roger A. Pearce, Samuel Rodríguez, Nancy M. Amato
C-space Subdivision and Integration in Feature-Sensitive Motion Planning. ICRA (2005)
Marco Morales, Lydia Tapia, Roger A. Pearce, Samuel Rodríguez, Nancy M. Amato
A Machine Learning Approach for Feature-Sensitive Motion Planning. WAFR (2004)
Jinsuck Kim, Roger A. Pearce, Nancy M. Amato
Extracting optimal paths from roadmaps for motion planning. ICRA (2003)
Jinsuck Kim, Roger A. Pearce, Nancy M. Amato
Feature-based localization using scannable visibility sectors. ICRA (2003)
Jinsuck Kim, Roger A. Pearce, Nancy M. Amato
Robust geometric-based localization in indoor environments using sonar range sensors. IROS (2002)