Fei Tang

Orcid: 0000-0003-2521-4825

Affiliations:
  • Inspur Group Co., Ltd.
  • Jinan Inspur Data Technology Co., Ltd.
  • Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, China


According to our database1, Fei Tang authored at least 17 papers between 2016 and 2024.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture.
CoRR, 2024

2023
AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for Large Language Models.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

2022
A systematic study on benchmarking AI inference accelerators.
CCF Trans. High Perform. Comput., 2022

OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

EAIBench: An Energy Efficiency Benchmark for AI Training.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2022

2021
HPC AI500: Representative, Repeatable and Simple HPC AI Benchmarking.
CoRR, 2021

WPC: Whole-Picture Workload Characterization Across Intermediate Representation, ISA, and Microarchitecture.
IEEE Comput. Archit. Lett., 2021

AIBench Training: Balanced Industry-Standard AI Training Benchmarking.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

HPC AI500 V2.0: The Methodology, Tools, and Metrics for Benchmarking HPC AI Systems.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

AIBench Scenario: Scenario-Distilling AI Benchmarking.
Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020
HPC AI500: The Methodology, Tools, Roofline Performance Models, and Metrics for Benchmarking HPC AI Systems.
CoRR, 2020

AIBench: Scenario-distilling AI Benchmarking.
CoRR, 2020

AIBench: An Industry Standard AI Benchmark Suite from Internet Services.
CoRR, 2020

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite.
CoRR, 2020

2019
AIBench: An Industry Standard Internet Service AI Benchmark Suite.
CoRR, 2019

2018
Data motifs: a lens towards fully understanding big data and AI workloads.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2016
AccuracyTrader: Accuracy-Aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services.
Proceedings of the 45th International Conference on Parallel Processing, 2016


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