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 | 215 | 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 | 141 | 2005 |
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 | 99 | 2014 |
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 | 94 | 2015 |
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 | 92 | 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 |
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 |
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 | 79 | 2003 |
Triangle counting for scale-free graphs at scale in distributed memory R Pearce 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-4, 2017 | 69 | 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 | 68 | 2015 |
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 | 62 | 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 | 58 | 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 | 53 | 2014 |
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 | 47 | 2020 |
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 | 43 | 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 | 38 | 2015 |
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 |
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 | 32 | 2008 |
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 | 30 | 2019 |
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 | 28 | 2018 |