In-situ ai: Towards autonomous and incremental deep learning for iot systems M Song, K Zhong, J Zhang, Y Hu, D Liu, W Zhang, J Wang, T Li 2018 IEEE International Symposium on High Performance Computer Architecture …, 2018 | 162 | 2018 |
Prediction based execution on deep neural networks M Song, J Zhao, Y Hu, J Zhang, T Li 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 93 | 2018 |
Towards pervasive and user satisfactory cnn across gpu microarchitectures M Song, Y Hu, H Chen, T Li 2017 IEEE International Symposium on High Performance Computer Architecture …, 2017 | 82 | 2017 |
Eager pruning: Algorithm and architecture support for fast training of deep neural networks J Zhang, X Chen, M Song, T Li 2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture …, 2019 | 76 | 2019 |
Towards efficient microarchitectural design for accelerating unsupervised GAN-based deep learning M Song, J Zhang, H Chen, T Li 2018 IEEE International Symposium on High Performance Computer Architecture …, 2018 | 73 | 2018 |
Towards sustainable in-situ server systems in the big data era C Li, Y Hu, L Liu, J Gu, M Song, X Liang, J Yuan, T Li Acm Sigarch Computer Architecture News 43 (3S), 14-26, 2015 | 72 | 2015 |
Lergan: A zero-free, low data movement and pim-based gan architecture H Mao, M Song, T Li, Y Dai, J Shu 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture …, 2018 | 42 | 2018 |
High-quality 3-D InISAR imaging of maneuvering target based on a combined processing approach Y Liu, M Song, K Wu, R Wang, Y Deng IEEE Geoscience and Remote Sensing Letters 10 (5), 1036-1040, 2013 | 38 | 2013 |
Towards" full containerization" in containerized network function virtualization Y Hu, M Song, T Li Proceedings of the Twenty-Second International Conference on Architectural …, 2017 | 33 | 2017 |
Bridging the semantic gaps of GPU acceleration for scale-out CNN-based big data processing: Think big, see small M Song, Y Hu, Y Xu, C Li, H Chen, J Yuan, T Li Proceedings of the 2016 International Conference on Parallel Architectures …, 2016 | 27 | 2016 |
Scheduling tasks with mixed timing constraints in GPU-powered real-time systems Y Xu, R Wang, T Li, M Song, L Gao, Z Luan, D Qian Proceedings of the 2016 International Conference on Supercomputing, 1-13, 2016 | 23 | 2016 |
Prediction based execution on deep neural networks. In 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA) M Song, J Zhao, Y Hu, J Zhang, T Li IEEE, 2018 | 16 | 2018 |
Democratic learning: hardware/software co-design for lightweight blockchain-secured on-device machine learning R Zhang, M Song, T Li, Z Yu, Y Dai, X Liu, G Wang Journal of Systems Architecture 118, 102205, 2021 | 15 | 2021 |
Exploiting dynamic thermal energy harvesting for reusing in smartphone with mobile applications Y Dai, T Li, B Liu, M Song, H Chen Proceedings of the Twenty-Third International Conference on Architectural …, 2018 | 14 | 2018 |
GaaS workload characterization under NUMA architecture for virtualized GPU H Chen, M Wang, Y Hu, M Song, T Li 2017 IEEE International Symposium on Performance Analysis of Systems and …, 2017 | 7 | 2017 |
Processing of SAR data based on the heterogeneous architecture of GPU and CPU M Song, Y Liu, F Zhao, R Wang, H Li IET International Radar Conference 2013, 1-5, 2013 | 5 | 2013 |
Coexe: An efficient co-execution architecture for real-time neural network services C Liu, K Li, M Song, J Zhao, K Li, T Li, Z Zeng 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 4 | 2020 |
LrGAN: A compact and energy efficient PIM-Based architecture for GAN training H Mao, J Shu, M Song, T Li IEEE Transactions on Computers 70 (9), 1427-1442, 2020 | 3 | 2020 |