Cheng Li
Cheng Li
Microsoft
Adresse e-mail validée de microsoft.com - Page d'accueil
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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
2352015
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
2282013
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
1542015
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
262016
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
192019
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
172016
Frustrated with replicating claims of a shared model? a solution
A Dakkak, C Li, J Xiong, WM Hwu
arXiv preprint arXiv:1811.09737, 2018
11*2018
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
102019
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
102019
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
9*2020
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
92019
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
72018
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
52016
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
42017
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
3*2020
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
32020
Challenges and pitfalls of reproducing machine learning artifacts
C Li, A Dakkak, J Xiong, W mei Hwu
CoRR, abs/1904.12437, 2019
22019
SCOPE: C3SR Systems Characterization and Benchmarking Framework
C Pearson, A Dakkak, C Li, S Hashash, J Xiong, W Hwu
arXiv preprint arXiv:1809.08311, 2018
12018
Performance benchmarking, analysis, and optimization of deep learning inference
C Li
University of Illinois at Urbana-Champaign, 2020
2020
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs
C Li, A Dakkak, J Xiong, W Hwu
Proceedings of the ACM/SPEC International Conference on Performance …, 2020
2020
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