| AIBench: an industry standard internet service AI benchmark suite W Gao, F Tang, L Wang, J Zhan, C Lan, C Luo, Y Huang, C Zheng, J Dai, ... arXiv preprint arXiv:1908.08998, 2019 | 44* | 2019 |
| Data motifs: A lens towards fully understanding big data and ai workloads W Gao, J Zhan, L Wang, C Luo, D Zheng, F Tang, B Xie, C Zheng, X Wen, ... Proceedings of the 27th International Conference on Parallel Architectures …, 2018 | 43 | 2018 |
| AIBench: an industry standard internet service AI benchmark suite W Gao, F Tang, L Wang, J Zhan, C Lan, C Luo, Y Huang, C Zheng, J Dai, ... arXiv preprint arXiv:1908.08998, 2019 | 40 | 2019 |
| AIBench training: Balanced industry-standard AI training benchmarking F Tang, W Gao, J Zhan, C Lan, X Wen, L Wang, C Luo, Z Cao, X Xiong, ... 2021 IEEE International Symposium on Performance Analysis of Systems and …, 2021 | 28 | 2021 |
| Hpc ai500 v2. 0: The methodology, tools, and metrics for benchmarking hpc ai systems Z Jiang, W Gao, F Tang, L Wang, X Xiong, C Luo, C Lan, H Li, J Zhan 2021 IEEE International Conference on Cluster Computing (CLUSTER), 47-58, 2021 | 18 | 2021 |
| Aibench scenario: Scenario-distilling ai benchmarking W Gao, F Tang, J Zhan, X Wen, L Wang, Z Cao, C Lan, C Luo, X Liu, ... 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 16 | 2021 |
| Olxpbench: Real-time, semantically consistent, and domain-specific are essential in benchmarking, designing, and implementing htap systems G Kang, L Wang, W Gao, F Tang, J Zhan 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1822-1834, 2022 | 11 | 2022 |
| Wpc: Whole-picture workload characterization across intermediate representation, isa, and microarchitecture L Wang, X Xiong, J Zhan, W Gao, X Wen, G Kang, F Tang IEEE Computer Architecture Letters 20 (2), 86-89, 2021 | 8 | 2021 |
| AccuracyTrader: Accuracy-aware approximate processing for low tail latency and high result accuracy in cloud online services R Han, S Huang, F Tang, F Chang, J Zhan 2016 45th International Conference on Parallel Processing (ICPP), 278-287, 2016 | 7 | 2016 |
| Hpc ai500: The methodology, tools, roofline performance models, and metrics for benchmarking hpc ai systems Z Jiang, L Wang, X Xiong, W Gao, C Luo, F Tang, C Lan, H Li, J Zhan arXiv preprint arXiv:2007.00279, 2020 | 6 | 2020 |
| Edge AIBench 2.0: A scalable autonomous vehicle benchmark for IoT–Edge–Cloud systems T Hao, W Gao, C Lan, F Tang, Z Jiang, J Zhan BenchCouncil Transactions on Benchmarks, Standards and Evaluations 2 (4), 100086, 2022 | 5 | 2022 |
| Isolate first, then share: a new os architecture for datacenter computing G Lu, J Zhan, C Tan, X Lin, D Kong, C Zheng, F Tang, C Huang, L Wang, ... arXiv preprint arXiv:1604.01378, 2016 | 4 | 2016 |
| AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for Large Language Models F Tang, W Gao, LZ Peng, J Zhan International Symposium on Benchmarking, Measuring and Optimization, 137-152, 2023 | 3 | 2023 |
| Hpc ai500: Representative, repeatable and simple hpc ai benchmarking Z Jiang, W Gao, F Tang, X Xiong, L Wang, C Lan, C Luo, H Li, J Zhan arXiv preprint arXiv:2102.12848, 2021 | 3 | 2021 |
| Snnbench: end-to-end ai-oriented spiking neural network benchmarking F Tang, W Gao BenchCouncil Transactions on Benchmarks, Standards and Evaluations 3 (1), 100108, 2023 | 2 | 2023 |
| Quality at the tail Z Yang, W Gao, C Luo, L Wang, F Tang, X Wen, J Zhan arXiv preprint arXiv:2212.13925, 2022 | 1 | 2022 |
| EAIBench: An Energy Efficiency Benchmark for AI Training F Zhang, C Lan, L Wang, F Tang, S Dai, J Wang, J Ma, J Zhan International Symposium on Benchmarking, Measuring and Optimization, 19-34, 2022 | 1 | 2022 |
| AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite W Gao, F Tang, J Zhan, C Lan, C Luo, L Wang, J Dai, Z Cao, X Xiong, ... arXiv preprint arXiv:2002.07162, 2020 | 1 | 2020 |
| Data dwarfs: A lens towards fully understanding big data and ai workloads W Gao, J Zhan, L Wang, C Luo, D Zheng, F Tang, B Xie, C Zheng, Q Yang arXiv preprint arXiv:1802.00699, 2018 | 1 | 2018 |
| Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture Z Yang, W Gao, L Peng, Y Huang, F Tang, J Zhan arXiv preprint arXiv:2406.15132, 2024 | | 2024 |
