Roger Pearce

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 47

Top Topics

Distributed Memory

Top Venues

IPDPS Workshops

Publications

Preston Piercey, Roger Pearce, Nate Veldt
Coordinated Botnet Detection in Social Networks via Clustering Analysis. ICPP Workshops (2023)
Lance G. Fletcher, Trevor Steil, Roger Pearce
Optimizing a Distributed Graph Data Structure for K - Path Centrality Estimation on HPC. HPEC (2023)
Michael Ostroski, Geoffrey Sanders, Trevor Steil, Roger Pearce
Scalable Edge Clustering of Dynamic Graphs via Weighted Line Graphs. CoRR (2023)
Trevor Steil, Tahsin Reza, Benjamin Priest, Roger Pearce
Embracing Irregular Parallelism in HPC with YGM. SC (2023)
Keita Iwabuchi, Trevor Steil, Benjamin Priest, Roger Pearce, Geoffrey Sanders
Towards A Massive-scale Distributed Neighborhood Graph Construction. SC Workshops (2023)
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 (2023)
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)
Karim Youssef, Niteya Shah, Maya B. Gokhale, Roger Pearce, Wu-chun Feng
AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace. HPEC (2022)
Keita Iwabuchi, Karim Youssef, Kaushik Velusamy, Maya B. Gokhale, Roger Pearce
Metall: A persistent memory allocator for data-centric analytics. Parallel Comput. 111 (2022)
Tahsin Reza, Geoffrey Sanders, Roger Pearce
Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs. IPDPS (2022)
Tahsin Reza, Geoffrey Sanders, Roger Pearce
Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs. CoRR (2022)
Sergio E. Baranzini, Katy Börner, John 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) (2022)
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) (2022)
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 (2021)
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)
Trevor Steil, Geoffrey Sanders, Roger Pearce
Towards Distributed Square Counting in Large Graphs. HPEC (2021)
Keita Iwabuchi, Karim Youssef, Kaushik Velusamy, Maya B. Gokhale, Roger Pearce
Metall: A Persistent Memory Allocator For Data-Centric Analytics. CoRR (2021)
Peter Pirkelbauer, Seth Bromberger, Keita Iwabuchi, Roger Pearce
Towards Scalable Data Processing in Python with CLIPPy. IA3@SC (2021)
Karim Youssef, Keita Iwabuchi, Wu-Chun Feng, Roger Pearce
Privateer: Multi-versioned Memory-mapped Data Stores for High-Performance Data Science. HPEC (2021)
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)
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)
Ivy Bo Peng, Roger Pearce, Maya B. Gokhale
On the Memory Underutilization: Exploring Disaggregated Memory on HPC Systems. SBAC-PAD (2020)
Tahsin Reza, Matei Ripeanu, Geoffrey Sanders, Roger Pearce
Approximate Pattern Matching in Massive Graphs with Precision and Recall Guarantees. SIGMOD Conference (2020)
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)
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)
Tahsin Reza, Matei Ripeanu, Geoffrey Sanders, Roger Pearce
Towards Interactive Pattern Search in Massive Graphs. GRADES-NDA@SIGMOD (2020)
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 (2019)
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)
Tahsin Reza, Hassan Halawa, Matei Ripeanu, Geoffrey Sanders, Roger Pearce
Scalable Pattern Matching in Metadata Graphs via Constraint Checking. CoRR (2019)
Benjamin Priest, Trevor Steil, Geoffrey Sanders, Roger Pearce
You've Got Mail (YGM): Building Missing Asynchronous Communication Primitives. IPDPS Workshops (2019)
Scott Sallinen, Roger Pearce, Matei Ripeanu
Incremental Graph Processing for On-line Analytics. IPDPS (2019)
Roger Pearce, Trevor Steil, Benjamin W. Priest, Geoffrey Sanders
One Quadrillion Triangles Queried on One Million Processors. HPEC (2019)
Keita Iwabuchi, Lance Lebanoff, Maya B. Gokhale, Roger Pearce
Metall: A Persistent Memory Allocator Enabling Graph Processing. IA3@SC (2019)
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)
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)
Tahsin Reza, Matei Ripeanu, Nicolas Tripoul, Geoffrey Sanders, Roger Pearce
PruneJuice: pruning trillion-edge graphs to a precise pattern-matching solution. SC (2018)
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)
Keita Iwabuchi, Geoffrey Sanders, Keith Henderson, Roger Pearce
Computing Exact Vertex Eccentricity on Massive-Scale Distributed Graphs. CLUSTER (2018)
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 (2018)
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)
Yuechao Pan, Roger Pearce, John D. Owens
Scalable Breadth-First Search on a GPU Cluster. IPDPS (2018)
Yuechao Pan, Roger Pearce, John D. Owens
Scalable Breadth-First Search on a GPU Cluster. CoRR (2018)
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)
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)
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 (2018)
Roger Pearce, Geoffrey Sanders
K-truss decomposition for Scale-Free Graphs at Scale in Distributed Memory. HPEC (2018)
Roger Pearce
Triangle counting for scale-free graphs at scale in distributed memory. HPEC (2017)