| High-throughput virtual screening and validation of a sars-cov-2 main protease noncovalent inhibitor A Clyde, S Galanie, DW Kneller, H Ma, Y Babuji, B Blaiszik, A Brace, ... Journal of chemical information and modeling 62 (1), 116-128, 2021 | 111 | 2021 |
| Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing L Tan, SL Song, P Wu, Z Chen, R Ge, DJ Kerbyson 29th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2015 | 55 | 2015 |
| A survey of power and energy efficient techniques for high performance numerical linear algebra operations L Tan, S Kothapalli, L Chen, O Hussaini, R Bissiri, Z Chen Parallel Computing 40 (10), 559-573, 2014 | 50 | 2014 |
| Impeccable: Integrated modeling pipeline for covid cure by assessing better leads AA Saadi, D Alfe, Y Babuji, A Bhati, B Blaiszik, A Brace, T Brettin, K Chard, ... Proceedings of the 50th International Conference on Parallel Processing, 1-12, 2021 | 41 | 2021 |
| Ajax 技术的数据响应优化 谭力， 杨宗源， 谢瑾奎 计算机工程 36 (007), 52-54, 2010 | 41 | 2010 |
| Pandemic drugs at pandemic speed: infrastructure for accelerating COVID-19 drug discovery with hybrid machine learning-and physics-based simulations on high-performance computers AP Bhati, S Wan, D Alfè, AR Clyde, M Bode, L Tan, M Titov, A Merzky, ... Interface Focus 11 (6), 20210018, 2021 | 39 | 2021 |
| Design, use and evaluation of p-fsefi: A parallel soft error fault injection framework for emulating soft errors in parallel applications Q Guan, N BeBardeleben, P Wu, S Eidenbenz, S Blanchard, L Monroe, ... Proceedings of the 9th EAI International Conference on Simulation Tools and …, 2016 | 25 | 2016 |
| Scalable HPC & AI infrastructure for COVID-19 therapeutics H Lee, A Merzky, L Tan, M Titov, M Turilli, D Alfe, A Bhati, A Brace, ... Proceedings of the Platform for Advanced Scientific Computing Conference, 1-13, 2021 | 24 | 2021 |
| Co-design center for exascale machine learning technologies (ExaLearn) FJ Alexander, J Ang, JA Bilbrey, J Balewski, T Casey, R Chard, J Choi, ... The International Journal of High Performance Computing Applications 35 (6 …, 2021 | 19 | 2021 |
| Improving performance and energy efficiency of matrix multiplication via pipeline broadcast L Tan, L Chen, Z Chen, Z Zong, R Ge, D Li Cluster Computing (CLUSTER), 2013 IEEE International Conference on, 1-5, 2013 | 15 | 2013 |
| OCL constraints automatic generation for UML class diagram L Tan, Z Yang, J Xie 2010 IEEE International Conference on Software Engineering and Service …, 2010 | 15 | 2010 |
| GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing J Chen, L Tan, P Wu, D Tao, H Li, X Liang, S Li, R Ge, L Bhuyan, Z Chen SC'16: Proceedings of the International Conference for High Performance …, 2016 | 14 | 2016 |
| Slow Down or Halt: Saving the Optimal Energy for Scalable HPC Systems L Tan, Z Chen 6th ACM/SPEC International Conference on Performance Engineering (ICPE), 241-244, 2015 | 14 | 2015 |
| Optimal decision-making in high-throughput virtual screening pipelines HM Woo, X Qian, L Tan, S Jha, FJ Alexander, ER Dougherty, BJ Yoon Patterns, 100875, 2023 | 12 | 2023 |
| HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON L Tan, L Chen, Z Chen, Z Zong, R Ge, D Li 14th International Conference on Computational Science (ICCS), 599-613, 2014 | 12 | 2014 |
| Scalable Energy Efficiency with Resilience for High Performance Computing Systems: A Quantitative Methodology L Tan, Z Chen, SL Song ACM Transactions on Architecture and Code Optimization 12 (4), 27, 2016 | 11 | 2016 |
| A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications. L Tan, Z Chen, Z Zong, R Ge, D Li 32nd IEEE International Performance Computing and Communications Conference …, 2013 | 11 | 2013 |
| Lightweight fault detection in parallelized programs L Tan, M Feng, R Gupta Code Generation and Optimization (CGO), 2013 IEEE/ACM International …, 2013 | 9 | 2013 |
| Failure Analysis and Quantification for Contemporary and Future Supercomputers L Tan, N DeBardeleben arXiv preprint arXiv:1911.02118, 2019 | 8 | 2019 |
| Using virtualization to quantify power conservation via near-threshold voltage reduction for inherently resilient applications L Tan, N DeBardeleben, Q Guan, S Blanchard, M Lang Parallel Computing 73, 3-15, 2018 | 5 | 2018 |
Zizhong (Jeffrey) ChenProfessor of Computer Science, University of California, RiversidePotvrđena adresa e-pošte na cs.ucr.edu
