Processing-in-memory for energy-efficient neural network training: A heterogeneous approach J Liu, H Zhao, MA Ogleari, D Li, J Zhao 2018 IEEE/ACM International Symposium on Microarchitecture (MICRO), 655-668, 2018 | 141 | 2018 |
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices J Liu, J Liu, W Du, D Li 2019 IEEE 25th International Conference on Parallel and Distributed Systems …, 2019 | 63 | 2019 |
Fast, Flexible, and Comprehensive Bug Detection for Persistent Memory Programs B Di, J Liu, H Chen, D Li Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021 | 44 | 2021 |
Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory J Liu, J Ren, R Gioiosa, D Li, J Li 26th ACM Symposium on Principles and Practice of Parallel Programming (PPoPP …, 2021 | 27 | 2021 |
Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU Z Xie, W Dong, J Liu, H Liu, D Li The Sixteenth European Conference on Computer Systems (EuroSys), 426-440, 2021 | 23 | 2021 |
Comparison of threading programming models S Salehian, J Liu, Y Yan 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 22 | 2017 |
Athena: High-Performance Sparse Tensor Contraction Sequence on Heterogeneous Memory J Liu, D Li, R Gioiosa, J Li Proceedings of the ACM International Conference on Supercomputing (ICS), 2021 | 18 | 2021 |
Runtime concurrency control and operation scheduling for high performance neural network training J Liu, D Li, G Kestor, J Vetter 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 13 | 2019 |
Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators X He, J Liu, Z Xie, H Chen, G Chen, W Zhang, D Li Proceedings of the ACM International Conference on Supercomputing (ICS), 227-241, 2021 | 12 | 2021 |
Homp: Automated distribution of parallel loops and data in highly parallel accelerator-based systems Y Yan, J Liu, KW Cameron, M Umar 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 9 | 2017 |
Flame: A self-adaptive auto-labeling system for heterogeneous mobile processors J Liu, J Liu, Z Xie, D Li arXiv preprint arXiv:2003.01762, 2020 | 7 | 2020 |
RIANN: Real-time Incremental Learning with Approximate Nearest Neighbor on Mobile Devices J Liu, Z Xie, D Nikolopoulos, D Li 2020 USENIX Conference on Operational Machine Learning (USENIX OpML), 2020 | 7 | 2020 |
Performance analysis and characterization of training deep learning models on nvidia tx2 J Liu, J Liu, W Du, D Li arXiv preprint arXiv:1906.04278, 2019 | 3 | 2019 |
The Llama 3 Herd of Models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | | 2024 |