Liangzhen Lai
Liangzhen Lai
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Cited by
Cited by
Federated learning with non-iid data
Y Zhao, M Li, L Lai, N Suda, D Civin, V Chandra
arXiv preprint arXiv:1806.00582, 2018
Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network
H Sharma, J Park, N Suda, L Lai, B Chau, JK Kim, V Chandra, ...
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
Hello edge: Keyword spotting on microcontrollers
Y Zhang, N Suda, L Lai, V Chandra
arXiv preprint arXiv:1711.07128, 2017
Cmsis-nn: Efficient neural network kernels for arm cortex-m cpus
L Lai, N Suda, V Chandra
arXiv preprint arXiv:1801.06601, 2018
Multi-scale high-resolution vision transformer for semantic segmentation
J Gu, H Kwon, D Wang, W Ye, M Li, YH Chen, L Lai, V Chandra, DZ Pan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks
L Yang, Z Yan, M Li, H Kwon, L Lai, T Krishna, V Chandra, W Jiang, Y Shi
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
Deep convolutional neural network inference with floating-point weights and fixed-point activations
L Lai, N Suda, V Chandra
arXiv preprint arXiv:1703.03073, 2017
Heterogeneous dataflow accelerators for multi-DNN workloads
H Kwon, L Lai, M Pellauer, T Krishna, YH Chen, V Chandra
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
Federated learning with non-iid data. arXiv 2018
Y Zhao, M Li, L Lai, N Suda, D Civin, V Chandra
arXiv preprint arXiv:1806.00582, 2018
Federated learning with non-iid data. arXiv
Y Zhao, M Li, L Lai, N Suda, D Civin, V Chandra
arXiv preprint arXiv:1806.00582 10, 2018
SlackProbe: A low overhead in situ on-line timing slack monitoring methodology
L Lai, V Chandra, R Aitken, P Gupta
2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 282-287, 2013
Device-and circuit-level variability caused by line edge roughness for sub-32-nm FinFET technologies
G Leung, L Lai, P Gupta, CO Chui
IEEE transactions on electron devices 59 (8), 2057-2063, 2012
DDRO: A novel performance monitoring methodology based on design-dependent ring oscillators
TB Chan, P Gupta, AB Kahng, L Lai
Thirteenth International Symposium on Quality Electronic Design (ISQED), 633-640, 2012
Enabling deep learning at the lot edge
L Lai, N Suda
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2018
SenseHAR: a robust virtual activity sensor for smartphones and wearables
JV Jeyakumar, L Lai, N Suda, M Srivastava
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 15-28, 2019
Privynet: A flexible framework for privacy-preserving deep neural network training
M Li, L Lai, N Suda, V Chandra, DZ Pan
arXiv preprint arXiv:1709.06161, 2017
VarEMU: An emulation testbed for variability-aware software
L Wanner, S Elmalaki, L Lai, P Gupta, M Srivastava
2013 International Conference on Hardware/Software Codesign and System …, 2013
SlackProbe: A Flexible and Efficient In Situ Timing Slack Monitoring Methodology
L Lai, V Chandra, RC Aitken, P Gupta
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2014
Synthesis and analysis of design-dependent ring oscillator (DDRO) performance monitors
TB Chan, P Gupta, AB Kahng, L Lai
IEEE transactions on very large scale integration (VLSI) systems 22 (10 …, 2013
Not all ops are created equal!
L Lai, N Suda, V Chandra
arXiv preprint arXiv:1801.04326, 2018
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