Brian Van Essen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
9
Active years
2006–2022
Best venue rank
A
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CCGRID | Parallelizing Graph Neural Networks via Matrix Compaction for Edge-Conditioned Networks. | Shehtab Zaman, Tim Moon, Tom Benson, Sam Ad Jacobs, Kenneth Chiu, Brian Van Essen |
| 2021 | CLUSTER | Monitoring Large Scale Supercomputers: A Case Study with the Lassen Supercomputer. | Tapasya Patki, Adam Bertsch, Ian Karlin, Dong H. Ahn, Brian Van Essen, Barry Rountree, Bronis R. de Supinski, Nathan Besaw |
| 2019 | CLUSTER | Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. | Sam Ade Jacobs, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer |
| 2019 | SC | Channel and filter parallelism for large-scale CNN training. | Nikoli Dryden, Naoya Maruyama, Tim Moon, Tom Benson, Marc Snir, Brian Van Essen |
| 2019 | SC | 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, 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, Bjrn Sjgreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Bhme, Jamie A. Bramwell, James M. Brase, Jos 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 |
| 2017 | IJCNN | Convolutional sparse coding on neurosynaptic cognitive system. | Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha |
| 2017 | IJCNN | Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system. | Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha |
| 2017 | SC | Towards Scalable Parallel Training of Deep Neural Networks. | Sam Ade Jacobs, Nikoli Dryden, Roger A. Pearce, Brian Van Essen |
| 2016 | SC | Communication Quantization for Data-Parallel Training of Deep Neural Networks. | Nikoli Dryden, Tim Moon, Sam Ade Jacobs, Brian Van Essen |
| 2016 | SC | Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications. | Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. DeBole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin G. Shaw, Hayley Wu, Brian Giera, Adam T. Moody, T. Nathan Mundhenk, Brian Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha |
| 2015 | IC2E | A Container-Based Approach to OS Specialization for Exascale Computing. | Judicael A. Zounmevo, Swann Perarnau, Kamil Iskra, Kazutomo Yoshii, Roberto Gioiosa, Brian Van Essen, Maya B. Gokhale, Edgar A. Len |
| 2015 | SC | LBANN: livermore big artificial neural network HPC toolkit. | Brian Van Essen, Hyojin Kim, Roger A. Pearce, Kofi Boakye, Barry Chen |
| 2012 | FCCM | Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA? | Brian Van Essen, Chris Macaraeg, Maya B. Gokhale, Ryan Prenger |
| 2012 | ICS | Integrated in-system storage architecture for high performance computing. | Dries Kimpe, Kathryn Mohror, Adam Moody, Brian Van Essen, Maya B. Gokhale, Robert B. Ross, Bronis R. de Supinski |
| 2012 | SC | DI-MMAP: A High Performance Memory-Map Runtime for Data-Intensive Applications. | Brian Van Essen, Henry Hsieh, Sasha Ames, Maya B. Gokhale |
| 2011 | FPGA | Energy-efficient specialization of functional units in a coarse-grained reconfigurable array. | Brian Van Essen, Robin Panda, Aaron Wood, Carl Ebeling, Scott Hauck |
| 2010 | FPL | Managing Short-Lived and Long-Lived Values in Coarse-Grained Reconfigurable Arrays. | Brian Van Essen, Robin Panda, Aaron Wood, Carl Ebeling, Scott Hauck |
| 2009 | FPGA | SPR: an architecture-adaptive CGRA mapping tool. | Stephen Friedman, Allan Carroll, Brian Van Essen, Benjamin Ylvisaker, Carl Ebeling, Scott Hauck |
| 2009 | FPL | Static versus scheduled interconnect in Coarse-Grained Reconfigurable Arrays. | Brian Van Essen, Aaron Wood, Allan Carroll, Stephen Friedman, Robin Panda, Benjamin Ylvisaker, Carl Ebeling, Scott Hauck |
| 2006 | FCCM | A Type Architecture for Hybrid Micro-Parallel Computers. | Benjamin Ylvisaker, Brian Van Essen, Carl Ebeling |
| 2006 | FPGA | A type architecture for hybrid micro-parallel computers. | Benjamin Ylvisaker, Brian Van Essen, Carl Ebeling |