Roger Pearce

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Nancy M. AmatoAbel Bliss Professor and Head, Computer Science, University of IllinoisVerified email at illinois.edu
Brian Van EssenLawrence Livermore National LaboratoryVerified email at llnl.gov
Tahsin RezaElectrical and Computer Engineering, University of WaterlooVerified email at uwaterloo.ca
Matei RipeanuElectrical and Computer Engineering, University of British Columbia, V6T 1Z4Verified email at ece.ubc.ca
Benjamin W. PriestPostdoctoral Researcher, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Marco MoralesITAMVerified email at itam.mx
Ivy PengAssociate Professor of Computer Science, KTHVerified email at llnl.gov
Sasha AmesLawrence Livermore National LabVerified email at llnl.gov
Scott SallinenPh.D in Computer Engineering, from The University of British ColumbiaVerified email at ece.ubc.ca
Lydia TapiaAssociate Professor of Computer Science, University of New MexicoVerified email at cs.unm.edu
Kofi BoakyePinterestVerified email at pinterest.com
Karim YoussefPostdoctoral Researcher at Lawrence Livermore National LaboratoryVerified email at llnl.gov
Karl NiTechnical StaffVerified email at mit.edu
Damian BorthProfessor of Artificial Intelligence & Machine Learning, University of St. GallenVerified email at unisg.ch
Satoshi MatsuokaRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyVerified email at acm.org
Shawna ThomasDepartment of Computer Science and Engineering, Texas A&M UniversityVerified email at cse.tamu.edu
Jeremy KepnerMIT Lincoln Laboratory Supercomputing CenterVerified email at ll.mit.edu
Christine KlymkoLawrence Livermore National LaboratoryVerified email at llnl.gov
Jonathan CohenComputer Scientist, GoogleVerified email at google.com
Allison H. BakerNational Center for Atmospheric ResearchVerified email at ucar.edu

Roger Pearce

Center for Applied Scientific Computing, Lawrence Livermore National Laboratory

Verified email at llnl.gov

High Performance Computing HPC Parallel Computing Graph Analytics


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Multithreaded asynchronous graph traversal for in-memory and semi-external memory R Pearce, M Gokhale, NM Amato SC'10: Proceedings of the 2010 ACM/IEEE International Conference for High …, 2010	218	2010
A machine learning approach for feature-sensitive motion planning M Morales, L Tapia, R Pearce, S Rodriguez, NM Amato Algorithmic Foundations of Robotics VI, 361-376, 2005	143	2005
LBANN: Livermore big artificial neural network HPC toolkit B Van Essen, H Kim, R Pearce, K Boakye, B Chen Proceedings of the workshop on machine learning in high-performance …, 2015	101	2015
Faster parallel traversal of scale free graphs at extreme scale with vertex delegates R Pearce, M Gokhale, NM Amato SC'14: Proceedings of the International Conference for High Performance …, 2014	100	2014
Resampl: A region-sensitive adaptive motion planner S Rodriguez, S Thomas, R Pearce, NM Amato Algorithmic foundation of robotics VII: selected contributions of the …, 2008	93	2008
Scaling techniques for massive scale-free graphs in distributed (external) memory R Pearce, M Gokhale, NM Amato 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013	87	2013
Extracting optimal paths from roadmaps for motion planning J Kim, RA Pearce, NM Amato 2003 IEEE International Conference on Robotics and Automation (Cat. No …, 2003	80	2003
Hardware technologies for high-performance data-intensive computing M Gokhale, J Cohen, A Yoo, WM Miller, A Jacob, C Ulmer, R Pearce Computer 41 (4), 60-68, 2008	79	2008
Triangle counting for scale-free graphs at scale in distributed memory R Pearce 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-4, 2017	73	2017
DI-MMAP—a scalable memory-map runtime for out-of-core data-intensive applications B Van Essen, H Hsieh, S Ames, R Pearce, M Gokhale Cluster Computing 18, 15-28, 2015	72	2015
On the memory underutilization: Exploring disaggregated memory on hpc systems I Peng, R Pearce, M Gokhale 2020 IEEE 32nd International Symposium on Computer Architecture and High …, 2020	64	2020
On the role of NVRAM in data-intensive architectures: an evaluation B Van Essen, R Pearce, S Ames, M Gokhale International Symposium on Parallel and Distributed Processing (to appear), 2012	64	2012
A scalable eigensolver for large scale-free graphs using 2D graph partitioning A Yoo, AH Baker, R Pearce Proceedings of 2011 International Conference for High Performance Computing …, 2011	59	2011
The placing task: A large-scale geo-estimation challenge for social-media videos and images J Choi, B Thomee, G Friedland, L Cao, K Ni, D Borth, B Elizalde, ... Proceedings of the 3rd acm multimedia workshop on geotagging and its …, 2014	55	2014
Graph colouring as a challenge problem for dynamic graph processing on distributed systems S Sallinen, K Iwabuchi, S Poudel, M Gokhale, M Ripeanu, R Pearce SC'16: Proceedings of the International Conference for High Performance …, 2016	44	2016
Large-scale deep learning on the YFCC100M dataset K Ni, R Pearce, K Boakye, B Van Essen, D Borth, B Chen, E Wang arXiv preprint arXiv:1502.03409, 2015	39	2015
UMap: Enabling application-driven optimizations for page management I Peng, M McFadden, E Green, K Iwabuchi, K Wu, D Li, R Pearce, ... 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC …, 2019	34	2019
Incremental map generation (IMG) D Xie, M Morales, R Pearce, S Thomas, JM Lien, NM Amato Algorithmic Foundation of Robotics VII: Selected Contributions of the …, 2008	33	2008
Towards a distributed large-scale dynamic graph data store K Iwabuchi, S Sallinen, R Pearce, B Van Essen, M Gokhale, S Matsuoka 2016 IEEE International Parallel and Distributed Processing Symposium …, 2016	32	2016
Prunejuice: pruning trillion-edge graphs to a precise pattern-matching solution T Reza, M Ripeanu, N Tripoul, G Sanders, R Pearce SC18: International Conference for High Performance Computing, Networking …, 2018	30	2018

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