Roger A. Pearce

Orcid: 0009-0000-6449-6568

According to our database1, Roger A. Pearce authored at least 68 papers between 2002 and 2023.

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Bibliography

2023
Distributed approximate minimal Steiner trees with millions of seed vertices on billion-edge graphs.
J. Parallel Distributed Comput., November, 2023

Scalable Edge Clustering of Dynamic Graphs via Weighted Line Graphs.
CoRR, 2023

Embracing Irregular Parallelism in HPC with YGM.
Proceedings of the International Conference for High Performance Computing, 2023

Towards A Massive-scale Distributed Neighborhood Graph Construction.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Coordinated Botnet Detection in Social Networks via Clustering Analysis.
Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

Optimizing a Distributed Graph Data Structure for K - Path Centrality Estimation on HPC.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022
Enabling Scalable and Extensible Memory-Mapped Datastores in Userspace.
IEEE Trans. Parallel Distributed Syst., 2022

Metall: A persistent memory allocator for data-centric analytics.
Parallel Comput., 2022

A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology.
AI Mag., 2022

Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Massive-Scale Distributed Triangle Computation and Applications.
Proceedings of the Massive Graph Analytics, 2022

2021
Scalable Pattern Matching in Metadata Graphs via Constraint Checking.
ACM Trans. Parallel Comput., 2021

TriPoll: computing surveys of triangles in massive-scale temporal graphs with metadata.
Proceedings of the International Conference for High Performance Computing, 2021

Towards Scalable Data Processing in Python with CLIPPy.
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.
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.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Towards Distributed Square Counting in Large Graphs.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020
Towards Interactive Pattern Search in Massive Graphs.
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.
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.
Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2020

On the Memory Underutilization: Exploring Disaggregated Memory on HPC Systems.
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.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Considerations for a Distributed GraphBLAS API.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019
UMap: Enabling Application-driven Optimizations for Page Management.
Proceedings of the 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing, 2019


Metall: A Persistent Memory Allocator Enabling Graph Processing.
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.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Incremental Graph Processing for On-line Analytics.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

You've Got Mail (YGM): Building Missing Asynchronous Communication Primitives.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

One Quadrillion Triangles Queried on One Million Processors.
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.
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.
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.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Scalable Breadth-First Search on a GPU Cluster.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Design, Generation, and Validation of Extreme Scale Power-Law Graphs.
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.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

K-truss decomposition for Scale-Free Graphs at Scale in Distributed Memory.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Computing Exact Vertex Eccentricity on Massive-Scale Distributed Graphs.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017
Towards Scalable Parallel Training of Deep Neural Networks.
Proceedings of the Machine Learning on HPC Environments, 2017

Performance Evaluation of Scale-Free Graph Algorithms in Low Latency Non-volatile Memory.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration).
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

Triangle counting for scale-free graphs at scale in distributed memory.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Towards Practical and Robust Labeled Pattern Matching in Trillion-Edge Graphs.
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.
Proceedings of the International Conference for High Performance Computing, 2016

Towards a Distributed Large-Scale Dynamic Graph Data Store.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015
Large-Scale Deep Learning on the YFCC100M Dataset.
CoRR, 2015

DI-MMAP - a scalable memory-map runtime for out-of-core data-intensive applications.
Clust. Comput., 2015

LBANN: livermore big artificial neural network HPC toolkit.
Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, 2015

Kickstarting the Commons: The YFCC100M and the YLI Corpora.
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.
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.
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.
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.
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.
Proceedings of the Conference on High Performance Computing Networking, 2011

2010
Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory.
Proceedings of the Conference on High Performance Computing Networking, 2010

2008
Hardware Technologies for High-Performance Data-Intensive Computing.
Computer, 2008

Structural Improvement Filtering Strategy for PRM.
Proceedings of the Robotics: Science and Systems IV, 2008

2007
Analysis of the Evolution of C-Space Models built through Incremental Exploration.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006
Incremental Map Generation (IMG).
Proceedings of the Algorithmic Foundation of Robotics VII, 2006

RESAMPL: A Region-Sensitive Adaptive Motion Planner.
Proceedings of the Algorithmic Foundation of Robotics VII, 2006

Metrics for Analyzing the Evolution of C-space Models.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005
C-space Subdivision and Integration in Feature-Sensitive Motion Planning.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004
A Machine Learning Approach for Feature-Sensitive Motion Planning.
Proceedings of the Algorithmic Foundations of Robotics VI, 2004

2003
Feature-based localization using scannable visibility sectors.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Extracting optimal paths from roadmaps for motion planning.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

2002
Robust geometric-based localization in indoor environments using sonar range sensors.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002


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