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ORCIDRoger A. Pearce
Roger Pearce
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2020 – today
- 2024
[i11]Jacob Wahlgren, Gabin Schieffer, Maya B. Gokhale, Roger Pearce, Ivy Peng:
Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph Processing. CoRR abs/2410.02599 (2024)- 2023
- [j7]Tahsin Reza, Trevor Steil, Geoffrey Sanders, Roger Pearce:
Distributed approximate minimal Steiner trees with millions of seed vertices on billion-edge graphs. J. Parallel Distributed Comput. 181: 104717 (2023) - [c58]Lance G. Fletcher, Trevor Steil, Roger Pearce:
Optimizing a Distributed Graph Data Structure for K - Path Centrality Estimation on HPC. HPEC 2023: 1-7 - [c57]Preston Piercey
, Roger Pearce, Nate Veldt:
Coordinated Botnet Detection in Social Networks via Clustering Analysis. ICPP Workshops 2023: 192-196 - [c56]Trevor Steil, Tahsin Reza, Benjamin Priest, Roger Pearce:
Embracing Irregular Parallelism in HPC with YGM. SC 2023: 35:1-35:13 - [c55]Keita Iwabuchi, Trevor Steil, Benjamin Priest, Roger Pearce, Geoffrey Sanders:
Towards A Massive-scale Distributed Neighborhood Graph Construction. SC Workshops 2023: 728-738 - [i10]Michael Ostroski, Geoffrey Sanders, Trevor Steil, Roger Pearce:
Scalable Edge Clustering of Dynamic Graphs via Weighted Line Graphs. CoRR abs/2311.10337 (2023) - 2022
- [j6]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:
A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology. AI Mag. 43(1): 46-58 (2022) - [j5]Keita Iwabuchi, Karim Youssef, Kaushik Velusamy, Maya B. Gokhale, Roger Pearce:
Metall: A persistent memory allocator for data-centric analytics. Parallel Comput. 111: 102905 (2022) - [j4]Ivy Bo Peng, Maya B. Gokhale, Karim Youssef, Keita Iwabuchi, Roger Pearce:
Enabling Scalable and Extensible Memory-Mapped Datastores in Userspace. IEEE Trans. Parallel Distributed Syst. 33(4): 866-877 (2022) - [c54]Karim Youssef, Abdullah Al Raqibul Islam, Keita Iwabuchi, Wu-chun Feng, Roger Pearce:
Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures. HPEC 2022: 1-7 - [c53]Karim Youssef, Niteya Shah, Maya B. Gokhale, Roger Pearce, Wu-chun Feng:
AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace. HPEC 2022: 1-7 - [c52]Tahsin Reza, Geoffrey Sanders, Roger Pearce:
Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs. IPDPS 2022: 549-559 - [p1]Geoffrey Sanders, Roger Pearce, Benjamin W. Priest, Trevor Steil:
Massive-Scale Distributed Triangle Computation and Applications. Massive Graph Analytics 2022: 127-158 - [i9]Tahsin Reza, Geoffrey Sanders, Roger Pearce:
Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs. CoRR abs/2205.14503 (2022) - 2021
- [j3]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): 2:1-2:45 (2021) - [c51]Trevor Steil, Geoffrey Sanders, Roger Pearce:
Towards Distributed Square Counting in Large Graphs. HPEC 2021: 1-7 - [c50]Karim Youssef, Keita Iwabuchi, Wu-Chun Feng, Roger Pearce:
Privateer: Multi-versioned Memory-mapped Data Stores for High-Performance Data Science. HPEC 2021: 1-7 - [c49]Kenneth Lamar, Christina L. Peterson, Damian Dechev, Roger Pearce, Keita Iwabuchi, Peter Pirkelbauer:
PMap: A Non-volatile Lock-free Hash Map with Open Addressing. NVMSA 2021: 1-7 - [c48]Trevor Steil, Tahsin Reza, Keita Iwabuchi, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce:
TriPoll: computing surveys of triangles in massive-scale temporal graphs with metadata. SC 2021: 67 - [c47]Peter Pirkelbauer, Seth Bromberger, Keita Iwabuchi, Roger Pearce:
Towards Scalable Data Processing in Python with CLIPPy. IA3@SC 2021: 43-52 - [i8]Trevor Steil, Tahsin Reza, Keita Iwabuchi, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce:
TriPoll: Computing Surveys of Triangles in Massive-Scale Temporal Graphs with Metadata. CoRR abs/2107.12330 (2021) - [i7]Keita Iwabuchi, Karim Youssef, Kaushik Velusamy, Maya B. Gokhale, Roger Pearce:
Metall: A Persistent Memory Allocator For Data-Centric Analytics. CoRR abs/2108.07223 (2021) - 2020
- [c46]Benjamin Brock, Aydin Buluç, Timothy G. Mattson, Scott McMillan, José E. Moreira, Roger Pearce, Oguz Selvitopi, Trevor Steil:
Considerations for a Distributed GraphBLAS API. IPDPS Workshops 2020: 215-218 - [c45]Trevor Steil, Scott McMillan, Geoffrey Sanders, Roger Pearce, Benjamin Priest:
Kronecker Graph Generation with Ground Truth for 4-Cycles and Dense Structure in Bipartite Graphs. IPDPS Workshops 2020: 237-246 - [c44]Ivy Bo Peng, Roger Pearce, Maya B. Gokhale:
On the Memory Underutilization: Exploring Disaggregated Memory on HPC Systems. SBAC-PAD 2020: 183-190 - [c43]Tahsin Reza, Matei Ripeanu, Geoffrey Sanders, Roger Pearce:
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. IA3@SC 2020: 45-53 - [c42]Tahsin Reza, Matei Ripeanu, Geoffrey Sanders, Roger Pearce:
Towards Interactive Pattern Search in Massive Graphs. GRADES-NDA@SIGMOD 2020: 9:1-9:6 - [c41]Tahsin Reza, Matei Ripeanu, Geoffrey Sanders, Roger Pearce:
Approximate Pattern Matching in Massive Graphs with Precision and Recall Guarantees. SIGMOD Conference 2020: 1115-1131
2010 – 2019
- 2019
- [c40]Roger Pearce, Trevor Steil, Benjamin W. Priest, Geoffrey Sanders:
One Quadrillion Triangles Queried on One Million Processors. HPEC 2019: 1-5 - [c39]Benjamin Priest, Trevor Steil, Geoffrey Sanders, Roger Pearce:
You've Got Mail (YGM): Building Missing Asynchronous Communication Primitives. IPDPS Workshops 2019: 221-230 - [c38]Trevor Steil, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce, Timothy La Fond, Keita Iwabuchi:
Distributed Kronecker Graph Generation with Ground Truth of Many Graph Properties. IPDPS Workshops 2019: 251-260 - [c37]Scott Sallinen, Roger Pearce, Matei Ripeanu:
Incremental Graph Processing for On-line Analytics. IPDPS 2019: 1007-1018 - [c36]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:
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17 - [c35]Keita Iwabuchi, Lance Lebanoff, Maya B. Gokhale, Roger Pearce:
Metall: A Persistent Memory Allocator Enabling Graph Processing. IA3@SC 2019: 39-44 - [c34]Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale:
UMap: Enabling Application-driven Optimizations for Page Management. MCHPC@SC 2019: 71-78 - [i6]Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale:
UMap: Enabling Application-driven Optimizations for Page Management. CoRR abs/1910.07566 (2019) - [i5]Tahsin Reza, Hassan Halawa, Matei Ripeanu, Geoffrey Sanders, Roger Pearce:
Scalable Pattern Matching in Metadata Graphs via Constraint Checking. CoRR abs/1912.08453 (2019) - 2018
- [c33]Keita Iwabuchi, Geoffrey Sanders, Keith Henderson, Roger Pearce:
Computing Exact Vertex Eccentricity on Massive-Scale Distributed Graphs. CLUSTER 2018: 257-267 - [c32]Roger Pearce, Geoffrey Sanders:
K-truss decomposition for Scale-Free Graphs at Scale in Distributed Memory. HPEC 2018: 1-6 - [c31]Benjamin W. Priest, Roger Pearce, Geoffrey Sanders:
Estimating Edge-Local Triangle Count Heavy Hitters in Edge-Linear Time and Almost-Vertex-Linear Space. HPEC 2018: 1-7 - [c30]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:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. IPDPS Workshops 2018: 279-286 - [c29]Geoffrey Sanders, Roger Pearce, Timothy La Fond, Jeremy Kepner:
On Large-Scale Graph Generation with Validation of Diverse Triangle Statistics at Edges and Vertices. IPDPS Workshops 2018: 287-296 - [c28]Yuechao Pan, Roger Pearce, John D. Owens:
Scalable Breadth-First Search on a GPU Cluster. IPDPS 2018: 1090-1101 - [c27]Nicolas Tripoul, Hassan Halawa, Tahsin Reza, Geoffrey Sanders, Roger Pearce, Matei Ripeanu:
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. IA3@SC 2018: 20-27 - [c26]Tahsin Reza, Matei Ripeanu, Nicolas Tripoul, Geoffrey Sanders, Roger Pearce:
PruneJuice: pruning trillion-edge graphs to a precise pattern-matching solution. SC 2018: 21:1-21:17 - [i4]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:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. CoRR abs/1803.01281 (2018) - [i3]Yuechao Pan, Roger Pearce, John D. Owens:
Scalable Breadth-First Search on a GPU Cluster. CoRR abs/1803.03922 (2018) - [i2]Geoffrey Sanders, Roger Pearce, Timothy La Fond, Jeremy Kepner:
On Large-Scale Graph Generation with Validation of Diverse Triangle Statistics at Edges and Vertices. CoRR abs/1803.09021 (2018) - 2017
- [c25]Tahsin Reza, Christine Klymko, Matei Ripeanu, Geoffrey Sanders, Roger A. Pearce:
Towards Practical and Robust Labeled Pattern Matching in Trillion-Edge Graphs. CLUSTER 2017: 1-12 - [c24]Roger Pearce:
Triangle counting for scale-free graphs at scale in distributed memory. HPEC 2017: 1-4 - [c23]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:
Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration). ICDCS Workshops 2017: 343-347 - [c22]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: 1021-1028 - [c21]Sam Ade Jacobs, Nikoli Dryden, Roger A. Pearce, Brian Van Essen:
Towards Scalable Parallel Training of Deep Neural Networks. MLHPC@SC 2017: 5:1-5:9 - 2016
- [c20]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: 892-901 - [c19]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: 347-358 - 2015
- [j2]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): 15-28 (2015) - [c18]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: 1-6 - [c17]Brian Van Essen, Hyojin Kim, Roger A. Pearce, Kofi Boakye, Barry Chen:
LBANN: livermore big artificial neural network HPC toolkit. MLHPC@SC 2015: 5:1-5:6 - [i1]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 abs/1502.03409 (2015) - 2014
- [c16]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: 27-31 - [c15]Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato:
Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex Delegates. SC 2014: 549-559 - 2013
- [c14]Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato:
Scaling Techniques for Massive Scale-Free Graphs in Distributed (External) Memory. IPDPS 2013: 825-836 - 2012
- [c13]Brian Van Essen, Roger A. Pearce, Sasha Ames, Maya B. Gokhale:
On the Role of NVRAM in Data-intensive Architectures: An Evaluation. IPDPS 2012: 703-714 - 2011
- [c12]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: 63:1-63:11 - 2010
- [c11]Roger A. Pearce, Maya B. Gokhale, Nancy M. Amato:
Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory. SC 2010: 1-11
2000 – 2009
- 2008
- [j1]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): 60-68 (2008) - [c10]Roger A. Pearce, Marco Morales, Nancy M. Amato:
Structural Improvement Filtering Strategy for PRM. Robotics: Science and Systems 2008 - 2007
- [c9]Marco Morales, Roger A. Pearce, Nancy M. Amato:
Analysis of the Evolution of C-Space Models built through Incremental Exploration. ICRA 2007: 1029-1034 - 2006
- [c8]Marco Morales, Roger A. Pearce, Nancy M. Amato:
Metrics for Analyzing the Evolution of C-space Models. ICRA 2006: 1268-1273 - [c7]Dawen Xie, Marco Morales, Roger A. Pearce, Shawna L. Thomas, Jyh-Ming Lien, Nancy M. Amato:
Incremental Map Generation (IMG). WAFR 2006: 53-68 - [c6]Samuel Rodríguez, Shawna L. Thomas, Roger A. Pearce, Nancy M. Amato:
RESAMPL: A Region-Sensitive Adaptive Motion Planner. WAFR 2006: 285-300 - 2005
- [c5]Marco Morales, Lydia Tapia, Roger A. Pearce, Samuel Rodríguez, Nancy M. Amato:
C-space Subdivision and Integration in Feature-Sensitive Motion Planning. ICRA 2005: 3114-3119 - 2004
- [c4]Marco Morales, Lydia Tapia, Roger A. Pearce, Samuel Rodríguez, Nancy M. Amato:
A Machine Learning Approach for Feature-Sensitive Motion Planning. WAFR 2004: 361-376 - 2003
- [c3]Jinsuck Kim, Roger A. Pearce, Nancy M. Amato:
Extracting optimal paths from roadmaps for motion planning. ICRA 2003: 2424-2429 - [c2]Jinsuck Kim, Roger A. Pearce, Nancy M. Amato:
Feature-based localization using scannable visibility sectors. ICRA 2003: 2854-2859 - 2002
- [c1]Jinsuck Kim, Roger A. Pearce, Nancy M. Amato:
Robust geometric-based localization in indoor environments using sonar range sensors. IROS 2002: 421-426
Coauthor Index
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