| SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks L Wang, J Ye, Y Zhao, W Wu, A Li, SL Song, Z Xu, T Kraska Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018 | 101 | 2018 |
| Hierarchical dag scheduling for hybrid distributed systems W Wu, A Bouteiller, G Bosilca, M Faverge, J Dongarra 2015 IEEE International Parallel and Distributed Processing Symposium, 156-165, 2015 | 62 | 2015 |
| Blasx: A high performance level-3 blas library for heterogeneous multi-gpu computing L Wang, W Wu, Z Xu, J Xiao, Y Yang Proceedings of the 2016 International Conference on Supercomputing, 1-11, 2016 | 50 | 2016 |
| Virtual reality based robotics learning system X Yang, Y Zhao, W Wu, H Wang 2008 IEEE International Conference on Automation and Logistics, 859-864, 2008 | 20 | 2008 |
| GPU-aware non-contiguous data movement in Open MPI W Wu, G Bosilca, R vandeVaart, S Jeaugey, J Dongarra International Symposium on High-Performance Parallel and Distributed …, 2016 | 18* | 2016 |
| Adapt: An event-based adaptive collective communication framework X Luo, W Wu, G Bosilca, T Patinyasakdikul, L Wang, J Dongarra Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018 | 15 | 2018 |
| Implementing directed acyclic graphs with the heterogeneous system architecture S Puthoor, AM Aji, S Che, M Daga, W Wu, BM Beckmann, G Rodgers Proceedings of the 9th Annual Workshop on General Purpose Processing using …, 2016 | 15 | 2016 |
| O3BNN: an out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning T Geng, T Wang, C Wu, C Yang, W Wu, A Li, MC Herbordt Proceeding ICS '19 Proceedings of the ACM International Conference on …, 2019 | 14 | 2019 |
| A scientific function test framework for modular environmental model development: application to the community land model D Wang, T Janjusic, C Iversen, P Thornton, M Karssovski, W Wu, Y Xu 2015 IEEE/ACM 1st International Workshop on Software Engineering for High …, 2015 | 13* | 2015 |
| Efficient Communications in Training Large Scale Neural Networks Y Zhao, L Wang, W Wu, G Bosilca, R Vuduc, J Ye, W Tang, Z Xu Thematic Workshops '17 Proceedings of the on Thematic Workshops of ACM …, 2017 | 12* | 2017 |
| Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance E Slaughter, W Wu, Y Fu, L Brandenburg, N Garcia, W Kautz, E Marx, ... SC '20: Proceedings of the International Conference for High Performance …, 2020 | 9 | 2020 |
| O3BNN-R: An Out-Of-Order Architecture for High-Performance and Regularized BNN Inference T Geng, A Li, T Wang, C Wu, Y Li, R Shi, W Wu, MC Herbordt IEEE Transactions on Parallel & Distributed Systems, 1-1, 2020 | 6 | 2020 |
| Multifractal and singularity analysis of weighted road networks M Dai, C Zhang, L Li, W Wu International Journal of Modern Physics B 28 (30), 1450215, 2014 | 5 | 2014 |
| Algorithms for modeling structural changes in human chromosomes X Yang, W Wu, CC Tseng Computer methods and programs in biomedicine 110 (2), 171-182, 2013 | 5 | 2013 |
| Effective algorithms for altering human chromosomes shapes W Wu, X Yang, CC Tseng Proceedings of the International Conference on Bioinformatics …, 2011 | 4 | 2011 |
| Compiler technologies for understanding legacy scientific code: A case study on an ACME land module D Wang, Y Pei, O Hernandez, W Wu, Z Yao, Y Kim, M Wolfe, R Kitchen Procedia Computer Science 108, 2418-2422, 2017 | 3 | 2017 |
| A Web-based Visual Analytic Framework for Understanding Large-scale Environmental Models: A Use Case for The Community Land Model Y Xu, D Wang, T Janjusic, W Wu, Y Pei, Z Yao Procedia Computer Science 108, 1731-1740, 2017 | 3 | 2017 |
| A Framework for Analyzing the Community Land Model within the Community Earth System Models D Wang, W Wu, Y Xu, T Janjusic, W Ding, F Winkler, O Hernandez Extended abstract on Proceedings of Super Computing, 2014 | 2 | 2014 |
| Simulation of human abnormal chromosomes: an innovative tool for teaching W Wu, X Yang, C Tseng Control, Automation and Systems Engineering (ICCAS), 2011 International …, 2011 | 2 | 2011 |
| FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks L Wang, W Wu, J Zhang, H Liu, G Bosilca, M Herlihy, R Fonseca Proceedings of the 29th International Symposium on High-Performance Parallel …, 2020 | 1 | 2020 |
Linnan WangBrown UniversityVerified email at brown.edu
