Zhanhong Tan

Orcid: 0000-0001-6725-3211

According to our database1, Zhanhong Tan authored at least 11 papers between 2019 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
A 28nm 68MOPS 0.18\mu\mathrm{J}/\text{Op}$ Paillier Homomorphic Encryption Processor with Bit-Serial Sparse Ciphertext Computing.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

A Scalable Multi-Chiplet Deep Learning Accelerator with Hub-Side 2.5D Heterogeneous Integration.
Proceedings of the 35th IEEE Hot Chips Symposium, 2023

PHEP: Paillier Homomorphic Encryption Processors for Privacy-Preserving Applications in Cloud Computing.
Proceedings of the 35th IEEE Hot Chips Symposium, 2023

2022
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

A 400MHz NPU with 7.8TOPS<sup>2</sup>/W High-PerformanceGuaranteed Efficiency in 55nm for Multi-Mode Pruning and Diverse Quantization Using Pattern-Kernel Encoding and Reconfigurable MAC Units.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2021

2020
PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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