Lan Gao

Orcid: 0000-0001-5637-9417

Affiliations:

Capital Normal University, Beijing Key Laboratory of Electronic System Reliability and Prognostics, College of Information Engineering, China
Beihang University, School of Computer Science and Engineering, Beijing, China (PhD 2019)

According to our database¹, Lan Gao authored at least 15 papers between 2014 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Bibliography

2023

Accelerating Look-Up Table based Matrix Multiplication on GPUs.

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[DOI]

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

A Bit Level Acceleration of Mixed Precision Neural Network.

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[DOI]

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Adaptive Contention Management for Fine-Grained Synchronization on Commodity GPUs.

[BibT_eX]

[DOI]

Lan Gao

Jing Wang

Weigong Zhang

ACM Trans. Archit. Code Optim., 2022

DA<sup>2</sup>F: Research on Robustness of Deep Learning Models Using Approximate Activation Function.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2020

Thread-Level Locking for SIMT Architectures.

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[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

Enabling Energy-Efficient and Reliable Neural Network via Neuron-Level Voltage Scaling.

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[DOI]

IEEE Trans. Computers, 2020

Multi-dimensional optimization for approximate near-threshold computing.

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[DOI]

Frontiers Inf. Technol. Electron. Eng., 2020

2019

Accelerating in-memory transaction processing using general purpose graphics processing units.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2019

Multiple Algorithms Against Multiple Hardware Architectures: Data-Driven Exploration on Deep Convolution Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Network and Parallel Computing, 2019

Enabling Energy-Efficient and Reliable Neural Network via Neuron-Level Voltage Scaling.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Towards a General and Efficient Linked-List Hash Table on GPUs.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

SRAM- and STT-RAM-based hybrid, shared last-level cache for on-chip CPU-GPU heterogeneous architectures.

[BibT_eX]

[DOI]