| 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 | 201 | 2018 |
| 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 | 151 | 2019 |
| 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 | 149 | 2020 |
| 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 | 95 | 2016 |
| 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 | 90 | 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 | 75 | 2017 |
| 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 | 59 | 2015 |
| 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 | 57 | 2018 |
| 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 | 52 | 2017 |
| 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, 2022 | 50* | 2022 |
| 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 | 49 | 2017 |
| 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 | 41* | 2020 |
| Cudaadvisor: Llvm-based runtime profiling for modern gpus D Shen, SL Song, A Li, X Liu Proceedings of the 2018 International Symposium on Code Generation and …, 2018 | 40 | 2018 |
| 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 | 39* | 2021 |
| LP-BNN: Ultra-low-latency BNN inference with layer parallelism T Geng, T Wang, C Wu, C Yang, SL Song, A Li, M Herbordt 2019 IEEE 30th International Conference on Application-specific Systems …, 2019 | 34 | 2019 |
| BSTC: A novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets A Li, T Geng, T Wang, M Herbordt, SL Song, K Barker Proceedings of the International Conference for High Performance Computing …, 2019 | 32 | 2019 |
| 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 | 30 | 2021 |
| Warp-consolidation: A novel execution model for gpus A Li, W Liu, L Wang, K Barker, SL Song Proceedings of the 2018 International Conference on Supercomputing, 53-64, 2018 | 30 | 2018 |
| SFU-driven transparent approximation acceleration on GPUs A Li, SL Song, M Wijtvliet, A Kumar, H Corporaal Proceedings of the 2016 International Conference on Supercomputing, 1-14, 2016 | 30 | 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 | 28 | 2021 |
Tong GengAssistant Professor, University of RochesterVerified email at rochester.edu
