Zhongyuan Zhao

Orcid: 0000-0002-6637-553X

Affiliations:
  • Cornell University, School of Electrical and Computer Engineering, Ithaca, NY, USA
  • Shanghai Jiao Tong University, Department of Micro/Nano Electronics, China


According to our database1, Zhongyuan Zhao authored at least 11 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
UniSparse: An Intermediate Language for General Sparse Format Customization.
CoRR, 2024

2022
A Tensor Processing Framework for CPU-Manycore Heterogeneous Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

2021
Reducing Memory Access Conflicts with Loop Transformation and Data Reuse on Coarse-grained Reconfigurable Architecture.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Towards Higher Performance and Robust Compilation for CGRA Modulo Scheduling.
IEEE Trans. Parallel Distributed Syst., 2020

2019
mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

2018
MBSS: A General Paradigm for Static Schedule for Nested Loops with Dynamic Loop Boundary on CGRAs.
Proceedings of the 2018 International Conference on ReConFigurable Computing and FPGAs, 2018

Optimizing the data placement and transformation for multi-bank CGRA computing system.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
A static-placement, dynamic-issue framework for CGRA loop accelerator.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016
Enabling in-situ logic-in-memory capability using resistive-RAM crossbar memory.
Proceedings of the 2016 International Conference on Field-Programmable Technology, 2016

2015
Resource-saving compile flow for coarse-grained reconfigurable architectures.
Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2015

Parasitic Parameters Impacts Investigation on Soft Error Rate by a Circuit Level Framework.
Proceedings of the 21st IEEE Pacific Rim International Symposium on Dependable Computing, 2015


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