Yuhao Ju

Orcid: 0000-0003-2509-400X

According to our database1, Yuhao Ju authored at least 8 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
20.4 A 28nm Physics Computing Unit Supporting Emerging Physics-Informed Neural Network and Finite Element Method for Real-Time Scientific Computing on Edge Devices.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023
A Systolic Neural CPU Processor Combining Deep Learning and General-Purpose Computing With Enhanced Data Locality and End-to-End Performance.
IEEE J. Solid State Circuits, 2023

A General-Purpose Compute-in-Memory Processor Combining CPU and Deep Learning with Elevated CPU Efficiency and Enhanced Data Locality.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

2022
A 65nm Systolic Neural CPU Processor for Combined Deep Learning and General-Purpose Computing with 95% PE Utilization, High Data Locality and Enhanced End-to-End Performance.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022

A Differentiable Neural Computer for Logic Reasoning with Scalable Near-Memory Computing and Sparsity Based Enhancement.
Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022

2021
A Dynamic Timing Enhanced DNN Accelerator With Compute-Adaptive Elastic Clock Chain Technique.
IEEE J. Solid State Circuits, 2021

2020
NCPU: An Embedded Neural CPU Architecture on Resource-Constrained Low Power Devices for Real-time End-to-End Performance.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

31.3 A Compute-Adaptive Elastic Clock-Chain Technique with Dynamic Timing Enhancement for 2D PE-Array-Based Accelerators.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020


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