Chester Liu
Orcid: 0000-0003-0115-9630
According to our database1,
Chester Liu
authored at least 13 papers
between 2010 and 2022.
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Bibliography
2022
NetFlex: A 22nm Multi-Chiplet Perception Accelerator in High-Density Fan-Out Wafer-Level Packaging.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022
2021
SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference.
IEEE J. Solid State Circuits, 2021
PETRA: A 22nm 6.97TFLOPS/W AIB-Enabled Configurable Matrix and Convolution Accelerator Integrated with an Intel Stratix 10 FPGA.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021
A 256Gb/s/mm-shoreline AIB-Compatible 16nm FinFET CMOS Chiplet for 2.5D Integration with Stratix 10 FPGA on EMIB and Tiling on Silicon Interposer.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2021
2019
IEEE J. Solid State Circuits, 2019
SNAP: A 1.67 - 21.55TOPS/W Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference in 16nm CMOS.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019
2018
A 2.56-mm<sup>2</sup> 718GOPS Configurable Spiking Convolutional Sparse Coding Accelerator in 40-nm CMOS.
IEEE J. Solid State Circuits, 2018
Inference and Learning Hardware Architecture for Neuro- Inspired Sparse Coding Algoerithm.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
2017
A 2.56mm<sup>2</sup> 718GOPS configurable spiking convolutional sparse coding processor in 40nm CMOS.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2017
2016
Proceedings of the 2016 IEEE Symposium on VLSI Circuits, 2016
2013
Proceedings of the 2013 International Conference on Field-Programmable Technology, 2013
2011
IEEE Des. Test Comput., 2011
2010
Proceedings of the 47th Design Automation Conference, 2010