作者
Wanling Gao, Chunjie Luo, Lei Wang, Xingwang Xiong, Jianan Chen, Tianshu Hao, Zihan Jiang, Fanda Fan, Mengjia Du, Yunyou Huang, Fan Zhang, Xu Wen, Chen Zheng, Xiwen He, Jiahui Dai, Hainan Ye, Zheng Cao, Zhen Jia, Kent Zhan, Haoning Tang, Daoyi Zheng, Biwei Xie, Wei Li, Xiaoyu Wang, Jianfeng Zhan
发表日期
2019
研讨会论文
Benchmarking, Measuring, and Optimizing: First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers 1
页码范围
3-9
出版商
Springer International Publishing
简介
AI benchmarking provides yardsticks for benchmarking, measuring and evaluating innovative AI algorithms, architecture, and systems. Coordinated by BenchCouncil, this paper presents our joint research and engineering efforts with several academic and industrial partners on the datacenter AI benchmarks—AIBench. The benchmarks are publicly available from http://www.benchcouncil.org/AIBench/index.html . Presently, AIBench covers 16 problem domains, including image classification, image generation, text-to-text translation, image-to-text, image-to-image, speech-to-text, face embedding, 3D face recognition, object detection, video prediction, image compression, recommendation, 3D object reconstruction, text summarization, spatial transformer, and learning to rank, and two end-to-end application AI benchmarks. Meanwhile, the AI benchmark suites for high …
学术搜索中的文章
W Gao, C Luo, L Wang, X Xiong, J Chen, T Hao… - … International Symposium, Bench 2018, Seattle, WA …, 2019