Robust geometric-based localization in indoor environments using sonar range sensors. - Jinsuck Kim; Roger A. Pearce; Nancy M. Amato (IROS, 2002)

Extracting optimal paths from roadmaps for motion planning. - Jinsuck Kim; Roger A. Pearce; Nancy M. Amato (ICRA, 2003)

Feature-based localization using scannable visibility sectors. - Jinsuck Kim; Roger A. Pearce; Nancy M. Amato (ICRA, 2003)

A Machine Learning Approach for Feature-Sensitive Motion Planning. - Marco Morales 001; Lydia Tapia; Roger A. Pearce; Samuel Rodríguez; Nancy M. Amato (WAFR, 2004)

C-space Subdivision and Integration in Feature-Sensitive Motion Planning. - Marco Morales 001; Lydia Tapia; Roger A. Pearce; Samuel Rodríguez; Nancy M. Amato (ICRA, 2005)

Metrics for Analyzing the Evolution of C-space Models. - Marco Morales 001; Roger A. Pearce; Nancy M. Amato (ICRA, 2006)

RESAMPL: A Region-Sensitive Adaptive Motion Planner. - Samuel Rodríguez; Shawna L. Thomas; Roger A. Pearce; Nancy M. Amato (WAFR, 2006)

Incremental Map Generation (IMG). - Dawen Xie; Marco Morales 001; Roger A. Pearce; Shawna L. Thomas; Jyh-Ming Lien; Nancy M. Amato (WAFR, 2006)

Analysis of the Evolution of C-Space Models built through Incremental Exploration. - Marco Morales 001; Roger A. Pearce; Nancy M. Amato (ICRA, 2007)

Structural Improvement Filtering Strategy for PRM. - Roger A. Pearce; Marco Morales 001; Nancy M. Amato (Robotics: Science and Systems, 2008)

Hardware Technologies for High-Performance Data-Intensive Computing. - Maya B. Gokhale; Jonathan D. Cohen 001; Andy Yoo; William Marcus Miller; Arpith C. Jacob; Craig D. Ulmer; Roger A. Pearce (Computer, 2008)

Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory. - Roger A. Pearce; Maya B. Gokhale; Nancy M. Amato (SC, 2010)

A scalable eigensolver for large scale-free graphs using 2D graph partitioning. - Andy Yoo; Allison H. Baker; Roger A. Pearce; Van Emden Henson (SC, 2011)

On the Role of NVRAM in Data-intensive Architectures: An Evaluation. - Brian Van Essen; Roger A. Pearce; Sasha Ames; Maya B. Gokhale (IPDPS, 2012)

Scaling Techniques for Massive Scale-Free Graphs in Distributed (External) Memory. - Roger A. Pearce; Maya B. Gokhale; Nancy M. Amato (IPDPS, 2013)

The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images. - Jaeyoung Choi 002; Bart Thomee; Gerald Friedland; Liangliang Cao; Karl Ni; Damian Borth; Benjamin Elizalde; Luke R. Gottlieb; Carmen Carrano; Roger A. Pearce; Douglas Poland (GeoMM, 2014)

Faster Parallel Traversal of Scale Free Graphs at Extreme Scale with Vertex Delegates. - Roger A. Pearce; Maya B. Gokhale; Nancy M. Amato (SC, 2014)

Kickstarting the Commons: The YFCC100M and the YLI Corpora. - Julia Bernd; Damian Borth; Carmen Carrano; Jaeyoung Choi 002; Benjamin Elizalde; Gerald Friedland; Luke R. Gottlieb; Karl Ni; Roger A. Pearce; Douglas Poland; Khalid Ashraf; David A. Shamma; et al. (MMCommons@ACM Multimedia, 2015)

LBANN: livermore big artificial neural network HPC toolkit. - Brian Van Essen; Hyojin Kim 001; Roger A. Pearce; Kofi Boakye; Barry Chen (MLHPC@SC, 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)

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)

Towards a Distributed Large-Scale Dynamic Graph Data Store. - Keita Iwabuchi; Scott Sallinen; Roger A. Pearce; Brian Van Essen; Maya B. Gokhale; Satoshi Matsuoka (IPDPS Workshops, 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 (SC, 2016)

Towards Practical and Robust Labeled Pattern Matching in Trillion-Edge Graphs. - Tahsin Reza; Christine Klymko; Matei Ripeanu; Geoffrey Sanders; Roger A. Pearce (CLUSTER, 2017)

Triangle counting for scale-free graphs at scale in distributed memory. - Roger Pearce (HPEC, 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 001; Roger A. Pearce; Maya B. Gokhale; Satoshi Matsuoka (ICDCS Workshops, 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 (IPDPS Workshops, 2017)

Towards Scalable Parallel Training of Deep Neural Networks. - Sam Ade Jacobs; Nikoli Dryden; Roger A. Pearce; Brian Van Essen (MLHPC@SC, 2017)

Computing Exact Vertex Eccentricity on Massive-Scale Distributed Graphs. - Keita Iwabuchi; Geoffrey Sanders; Keith Henderson; Roger Pearce (CLUSTER, 2018)

K-truss decomposition for Scale-Free Graphs at Scale in Distributed Memory. - Roger Pearce; Geoffrey Sanders (HPEC, 2018)

Estimating Edge-Local Triangle Count Heavy Hitters in Edge-Linear Time and Almost-Vertex-Linear Space. - Benjamin W. Priest; Roger Pearce; Geoffrey Sanders (HPEC, 2018)

Design, Generation, and Validation of Extreme Scale Power-Law Graphs. - Jeremy Kepner; Siddharth Samsi; William Arcand; David Bestor; Bill Bergeron; Tim Davis 001; Vijay Gadepally; Michael Houle 001; Matthew Hubbell; Hayden Jananthan; Michael Jones 001; Anna Klein; et al. (IPDPS Workshops, 2018)

Scalable Breadth-First Search on a GPU Cluster. - Yuechao Pan; Roger Pearce; John D. Owens (IPDPS, 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 (IPDPS Workshops, 2018)

PruneJuice: pruning trillion-edge graphs to a precise pattern-matching solution. - Tahsin Reza; Matei Ripeanu; Nicolas Tripoul; Geoffrey Sanders; Roger Pearce (SC, 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 (IA3@SC, 2018)

One Quadrillion Triangles Queried on One Million Processors. - Roger Pearce; Trevor Steil; Benjamin W. Priest; Geoffrey Sanders (HPEC, 2019)

You've Got Mail (YGM): Building Missing Asynchronous Communication Primitives. - Benjamin Priest; Trevor Steil; Geoffrey Sanders; Roger Pearce (IPDPS Workshops, 2019)

Incremental Graph Processing for On-line Analytics. - Scott Sallinen; Roger Pearce; Matei Ripeanu (IPDPS, 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 (IPDPS Workshops, 2019)

Metall: A Persistent Memory Allocator Enabling Graph Processing. - Keita Iwabuchi; Lance Lebanoff; Maya B. Gokhale; Roger Pearce (IA3@SC, 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 001; Guojing Cong; Carlos H. A. Costa; Johann Dahm; Giacomo Domeniconi; et al. (SC, 2019)

UMap: Enabling Application-driven Optimizations for Page Management. - Ivy Bo Peng; Marty McFadden; Eric W. Green; Keita Iwabuchi; Kai Wu 006; Dong Li 001; Roger Pearce; Maya B. Gokhale (MCHPC@SC, 2019)

Considerations for a Distributed GraphBLAS API. - Benjamin Brock; Aydin Buluç; Timothy G. Mattson; Scott McMillan; José E. Moreira; Roger Pearce; Oguz Selvitopi; Trevor Steil (IPDPS Workshops, 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 (IPDPS Workshops, 2020)

On the Memory Underutilization: Exploring Disaggregated Memory on HPC Systems. - Ivy Bo Peng; Roger Pearce; Maya B. Gokhale (SBAC-PAD, 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 (IA3@SC, 2020)

Approximate Pattern Matching in Massive Graphs with Precision and Recall Guarantees. - Tahsin Reza; Matei Ripeanu; Geoffrey Sanders; Roger Pearce (SIGMOD Conference, 2020)

Towards Interactive Pattern Search in Massive Graphs. - Tahsin Reza; Matei Ripeanu; Geoffrey Sanders; Roger Pearce (GRADES-NDA@SIGMOD, 2020)

Towards Distributed Square Counting in Large Graphs. - Trevor Steil; Geoffrey Sanders; Roger Pearce (HPEC, 2021)

Privateer: Multi-versioned Memory-mapped Data Stores for High-Performance Data Science. - Karim Youssef; Keita Iwabuchi; Wu-Chun Feng; Roger Pearce (HPEC, 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 (NVMSA, 2021)

Towards Scalable Data Processing in Python with CLIPPy. - Peter Pirkelbauer; Seth Bromberger; Keita Iwabuchi; Roger Pearce (IA3@SC, 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 (SC, 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)

Massive-Scale Distributed Triangle Computation and Applications. - Geoffrey Sanders; Roger Pearce; Benjamin W. Priest; Trevor Steil (Massive Graph Analytics, 2022)

Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures. - Karim Youssef; Abdullah Al Raqibul Islam; Keita Iwabuchi; Wu-chun Feng; Roger Pearce (HPEC, 2022)

AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace. - Karim Youssef; Niteya Shah; Maya B. Gokhale; Roger Pearce; Wu-chun Feng (HPEC, 2022)

Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs. - Tahsin Reza; Geoffrey Sanders; Roger Pearce (IPDPS, 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; et al. (AI Mag., 2022)

Metall: A persistent memory allocator for data-centric analytics. - Keita Iwabuchi; Karim Youssef; Kaushik Velusamy; Maya B. Gokhale; Roger Pearce (Parallel Comput., 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)

Optimizing a Distributed Graph Data Structure for K - Path Centrality Estimation on HPC. - Lance G. Fletcher; Trevor Steil; Roger Pearce (HPEC, 2023)

Coordinated Botnet Detection in Social Networks via Clustering Analysis. - Preston Piercey; Roger Pearce; Nate Veldt (ICPP Workshops, 2023)

Towards A Massive-scale Distributed Neighborhood Graph Construction. - Keita Iwabuchi; Trevor Steil; Benjamin Priest; Roger Pearce; Geoffrey Sanders (SC Workshops, 2023)

Embracing Irregular Parallelism in HPC with YGM. - Trevor Steil; Tahsin Reza; Benjamin Priest; Roger Pearce (SC, 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., 2023)

Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph Processing. - Jacob Wahlgren; Gabin Schieffer; Maya B. Gokhale; Roger Pearce; Ivy Peng (SBAC-PAD, 2024)

NEO-DNND: Communication-Optimized Distributed Nearest Neighbor Graph Construction. - Keita Iwabuchi; Trevor Steil; Benjamin W. Priest; Roger Pearce; Geoffrey Sanders (SC Workshops, 2024)

RaNT-Graph: A Scalable Approach to Sampling Billions of Walks or Paths from Weighted Graphs. - Lance G. Fletcher; Trevor Steil; Roger Pearce (IPDPS (Workshops), 2025)

Survey-wide asteroid discovery with a high-performance computing enabled non-linear digital tracking framework. - Nathan Golovich; Trevor Steil; Alex Geringer-Sameth; Keita Iwabuchi; Ryan Dozier; Roger A. Pearce (Astron. Comput., 2025)

Scalable edge clustering of dynamic graphs via weighted line graphs. - Michael Ostroski; Geoffrey Sanders; Trevor Steil; Roger Pearce (J. Complex Networks, 2025)

The ECP SICM project: Managing complex memory hierarchies for exascale applications. - Roxana Bujack; Maya B. Gokhale; Latchesar Ionkov; Keita Iwabuchi; Michael R. Jantz; Terry R. Jones; Sumathi Lakshmiranganatha; Michael K. Lang; Jason Lee 004; Matthew Ben Olson; Scott Pakin; Roger Pearce; et al. (Int. J. High Perform. Comput. Appl., 2025)

UMap: An application-oriented user level memory mapping library. - Ivy Peng; Jacob Wahlgren; Karim Youssef; Keita Iwabuchi; Roger Pearce; Maya B. Gokhale (Int. J. High Perform. Comput. Appl., 2025)

Inter-APU Communication on AMD MI300A Systems via Infinity Fabric: a Deep Dive. - Gabin Schieffer; Jacob Wahlgren; Ruimin Shi; Edgar A. León; Roger Pearce; Maya B. Gokhale; Ivy Peng (CoRR, 2025)

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs. - Jacob Wahlgren; Gabin Schieffer; Ruimin Shi; Edgar A. León; Roger Pearce; Maya B. Gokhale; Ivy Peng (CoRR, 2025)