Name
Abstract | ||
|---|---|---|
Earlier-stage evaluations of a new AI architecture/system need affordable AI benchmarks. Only using a few AI component benchmarks like MLPerf alone in the other stages may lead to misleading conclusions. Moreover, the learning dynamics are not well understood, and the benchmarks' shelf-life is short. This paper proposes a balanced benchmarking methodology. We use real-world benchmarks to cover the... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISPASS51385.2021.00014 | 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) |
Keywords | DocType | ISBN |
Training,Computational modeling,Web and internet services,Optical wavelength conversion,Benchmark testing,Software,Computational efficiency | Conference | 978-1-7281-8643-6 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
33 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Tang | 1 | 17 | 7.36 |
| Wanling Gao | 2 | 299 | 19.12 |
| Jianfeng Zhan | 3 | 767 | 62.86 |
| Chuanxin Lan | 4 | 1 | 0.70 |
| W. Xu | 5 | 309 | 47.55 |
| Lei Wang | 6 | 577 | 46.85 |
| Chunjie Luo | 7 | 434 | 21.86 |
| Zheng Cao | 8 | 6 | 2.86 |
| Xingwang Xiong | 9 | 1 | 0.36 |
| Zihan Jiang | 10 | 1 | 2.39 |
| Tianshu Hao | 11 | 2 | 1.77 |
| Fanda Fan | 12 | 1 | 1.71 |
| Fan Zhang | 13 | 8 | 2.55 |
| Yunyou Huang | 14 | 2 | 3.46 |
| Jianan Chen | 15 | 1 | 0.36 |
| Mengjia Du | 16 | 1 | 0.36 |
| Rui Ren | 17 | 39 | 6.66 |
| Chen Zheng | 18 | 5 | 1.16 |
| Daoyi Zheng | 19 | 5 | 2.81 |
| Haoning Tang | 20 | 1 | 0.36 |
| Kunlin Zhan | 21 | 1 | 0.36 |
| Biao Wang | 22 | 1 | 0.36 |
| Defei Kong | 23 | 1 | 0.36 |
| Minghe Yu | 24 | 1 | 0.36 |
| Chongkang Tan | 25 | 1 | 0.36 |
| Huan Li | 26 | 1 | 0.36 |
| Xinhui Tian | 27 | 6 | 2.48 |
| Yatao Li | 28 | 3 | 1.06 |
| Junchao Shao | 29 | 1 | 0.36 |
| Zhenyu Wang | 30 | 1 | 0.36 |
| Xiaoyu Wang | 31 | 1487 | 69.46 |
| Jiahui Dai | 32 | 1 | 0.36 |
| hainan ye | 33 | 7 | 3.93 |