| 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 | 319 | 2018 |
| AWB-GCN: A graph convolutional network accelerator with runtime workload rebalancing T Geng, A Li, R Shi, C Wu, T Wang, Y Li, P Haghi, A Tumeo, S Che, ... 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 307 | 2020 |
| Evaluating modern gpu interconnect: Pcie, nvlink, nv-sli, nvswitch and gpudirect A Li, SL Song, J Chen, J Li, X Liu, NR Tallent, KJ Barker IEEE Transactions on Parallel and Distributed Systems 31 (1), 94-110, 2019 | 288 | 2019 |
| Qasmbench: A low-level quantum benchmark suite for nisq evaluation and simulation A Li, S Stein, S Krishnamoorthy, J Ang ACM Transactions on Quantum Computing 4 (2), 1-26, 2023 | 192* | 2023 |
| I-GCN: A graph convolutional network accelerator with runtime locality enhancement through islandization T Geng, C Wu, Y Zhang, C Tan, C Xie, H You, M Herbordt, Y Lin, A Li MICRO-54: 54th annual IEEE/ACM international symposium on microarchitecture …, 2021 | 120 | 2021 |
| A synchronization-free algorithm for parallel sparse triangular solves W Liu, A Li, J Hogg, IS Duff, B Vinter Euro-Par 2016: Parallel Processing: 22nd International Conference on …, 2016 | 115 | 2016 |
| Accelerating transformer-based deep learning models on fpgas using column balanced block pruning H Peng, S Huang, T Geng, A Li, W Jiang, H Liu, S Wang, C Ding 2021 22nd International Symposium on Quality Electronic Design (ISQED), 142-148, 2021 | 104 | 2021 |
| Adaptive and transparent cache bypassing for GPUs A Li, GJ van den Braak, A Kumar, H Corporaal Proceedings of the International Conference for High Performance Computing …, 2015 | 96 | 2015 |
| Locality-aware CTA clustering for modern GPUs A Li, SL Song, W Liu, X Liu, A Kumar, H Corporaal ACM SIGARCH Computer Architecture News 45 (1), 297-311, 2017 | 94 | 2017 |
| Qugan: A quantum state fidelity based generative adversarial network SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, B Fang, S Xu 2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021 | 92* | 2021 |
| Bns-gcn: Efficient full-graph training of graph convolutional networks with partition-parallelism and random boundary node sampling C Wan, Y Li, A Li, NS Kim, Y Lin Proceedings of Machine Learning and Systems 4, 673-693, 2022 | 81 | 2022 |
| Tartan: evaluating modern GPU interconnect via a multi-GPU benchmark suite A Li, SL Song, J Chen, X Liu, N Tallent, K Barker 2018 IEEE International Symposium on Workload Characterization (IISWC), 191-202, 2018 | 69 | 2018 |
| OpenCGRA: An open-source unified framework for modeling, testing, and evaluating CGRAs C Tan, C Xie, A Li, KJ Barker, A Tumeo 2020 IEEE 38th International Conference on Computer Design (ICCD), 381-388, 2020 | 67 | 2020 |
| FPDeep: Scalable acceleration of CNN training on deeply-pipelined FPGA clusters T Wang, T Geng, A Li, X Jin, M Herbordt IEEE Transactions on Computers 69 (8), 1143-1158, 2020 | 64* | 2020 |
| Fine-grained synchronizations and dataflow programming on GPUs A Li, GJ van den Braak, H Corporaal, A Kumar Proceedings of the 29th ACM on International Conference on Supercomputing …, 2015 | 62 | 2015 |
| Fast synchronization‐free algorithms for parallel sparse triangular solves with multiple right‐hand sides W Liu, A Li, JD Hogg, IS Duff, B Vinter Concurrency and Computation: Practice and Experience 29 (21), e4244, 2017 | 61 | 2017 |
| Gcod: Graph convolutional network acceleration via dedicated algorithm and accelerator co-design H You, T Geng, Y Zhang, A Li, Y Lin 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 59 | 2022 |
| Quclassi: A hybrid deep neural network architecture based on quantum state fidelity SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, S Xu, C Ding Proceedings of Machine Learning and Systems 4, 251-264, 2022 | 58 | 2022 |
| Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels A Li, W Liu, MRB Kristensen, B Vinter, H Wang, K Hou, A Marquez, ... Proceedings of the International Conference for High Performance Computing …, 2017 | 58 | 2017 |
| A length adaptive algorithm-hardware co-design of transformer on fpga through sparse attention and dynamic pipelining H Peng, S Huang, S Chen, B Li, T Geng, A Li, W Jiang, W Wen, J Bi, H Liu, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1135-1140, 2022 | 55 | 2022 |
Tony (Tong) GengAssistant Professor, University of RochesterVerified email at rochester.edu
