| Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers J Hauswald, MA Laurenzano, Y Zhang, C Li, A Rovinski, A Khurana, ... Proceedings of the Twentieth International Conference on Architectural …, 2015 | 275 | 2015 |
| Stochastic circuits for real-time image-processing applications A Alaghi, C Li, JP Hayes Proceedings of the 50th Annual Design Automation Conference, 1-6, 2013 | 261 | 2013 |
| Djinn and tonic: Dnn as a service and its implications for future warehouse scale computers J Hauswald, Y Kang, MA Laurenzano, Q Chen, C Li, T Mudge, ... 2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture …, 2015 | 174 | 2015 |
| Accelerating reduction and scan using tensor core units A Dakkak, C Li, J Xiong, I Gelado, W Hwu Proceedings of the ACM International Conference on Supercomputing, 46-57, 2019 | 45 | 2019 |
| KLAP: Kernel launch aggregation and promotion for optimizing dynamic parallelism I El Hajj, J Gómez-Luna, C Li, LW Chang, D Milojicic, W Hwu 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 34 | 2016 |
| Designing future warehouse-scale computers for sirius, an end-to-end voice and vision personal assistant J Hauswald, MA Laurenzano, Y Zhang, H Yang, Y Kang, C Li, A Rovinski, ... ACM Transactions on Computer Systems (TOCS) 34 (1), 1-32, 2016 | 25 | 2016 |
| Evaluating characteristics of CUDA communication primitives on high-bandwidth interconnects C Pearson, A Dakkak, S Hashash, C Li, IH Chung, J Xiong, WM Hwu Proceedings of the 2019 ACM/SPEC International Conference on Performance …, 2019 | 21 | 2019 |
| Xsp: Across-stack profiling and analysis of machine learning models on gpus C Li, A Dakkak, J Xiong, W Wei, L Xu, W Hwu 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 17* | 2020 |
| Matrix factorization on gpus with memory optimization and approximate computing W Tan, S Chang, L Fong, C Li, Z Wang, L Cao Proceedings of the 47th International Conference on Parallel Processing, 1-10, 2018 | 12 | 2018 |
| Ai matrix: A deep learning benchmark for alibaba data centers W Zhang, W Wei, L Xu, L Jin, C Li arXiv preprint arXiv:1909.10562, 2019 | 11 | 2019 |
| Trims: Transparent and isolated model sharing for low latency deep learning inference in function-as-a-service A Dakkak, C Li, SG De Gonzalo, J Xiong, W Hwu 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 372-382, 2019 | 11 | 2019 |
| Frustrated with replicating claims of a shared model? a solution A Dakkak, C Li, J Xiong, WM Hwu arXiv preprint arXiv:1811.09737, 2018 | 10* | 2018 |
| Benanza: Automatic μBenchmark Generation to Compute" Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs C Li, A Dakkak, J Xiong, W Hwu 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 9 | 2020 |
| Sirius implications for future warehouse-scale computers J Hauswald, MA Laurenzano, Y Zhang, C Li, A Rovinski, A Khurana, ... IEEE Micro 36 (3), 42-53, 2016 | 5 | 2016 |
| The design and implementation of a scalable deep learning benchmarking platform C Li, A Dakkak, J Xiong, W Hwu 2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 414-425, 2020 | 4 | 2020 |
| RAI: a scalable project submission system for parallel programming courses A Dakkak, C Pearson, C Li, W Hwu 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 4 | 2017 |
| Mlmodelscope: A distributed platform for model evaluation and benchmarking at scale A Dakkak, C Li, J Xiong, W Hwu arXiv preprint arXiv:2002.08295, 2020 | 3 | 2020 |
| {DLSpec}: A Deep Learning Task Exchange Specification A Dakkak, C Li, J Xiong, W Hwu 2020 USENIX Conference on Operational Machine Learning (OpML 20), 2020 | 2 | 2020 |
| Challenges and pitfalls of reproducing machine learning artifacts C Li, A Dakkak, J Xiong, W mei Hwu CoRR, abs/1904.12437, 2019 | 2 | 2019 |
| Performance benchmarking, analysis, and optimization of deep learning inference C Li University of Illinois at Urbana-Champaign, 2020 | 1 | 2020 |
Wen-mei W. HwuSenior Distinguished Research Scientist, NVIDIA; Professor and Sanders-AMD Chair of Electrical andAdresse e-mail validée de illinois.edu
