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Jiawen Liu
Jiawen Liu
Research Scientist, Meta
Bestätigte E-Mail-Adresse bei meta.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1382018
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
602019
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
402021
Comparison of threading programming models
S Salehian, J Liu, Y Yan
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
222017
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
212021
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
202021
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
132021
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
122019
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
102021
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
92017
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
62020
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
62020
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
32019
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