Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ye, Hainan"'
Autor:
Zhan, Jianfeng, Wang, Lei, Gao, Wanling, Li, Hongxiao, Wang, Chenxi, Huang, Yunyou, Li, Yatao, Yang, Zhengxin, Kang, Guoxin, Luo, Chunjie, Ye, Hainan, Dai, Shaopeng, Zhang, Zhifei
Evaluation is a crucial aspect of human existence and plays a vital role in various fields. However, it is often approached in an empirical and ad-hoc manner, lacking consensus on universal concepts, terminologies, theories, and methodologies. This l
Externí odkaz:
http://arxiv.org/abs/2404.00021
Autor:
Gao, Wanling, Wang, Lei, Chen, Mingyu, Xiong, Jin, Luo, Chunjie, Zhang, Wenli, Huang, Yunyou, Li, Weiping, Kang, Guoxin, Zheng, Chen, Xie, Biwei, Dai, Shaopeng, He, Qian, Ye, Hainan, Bao, Yungang, Zhan, Jianfeng
Publikováno v:
BenchCouncil Transactions on Benchmarks, Standards and Evaluations (2022)
Emerging and future applications rely heavily upon systems consisting of Internet of Things (IoT), edges, data centers, and humans-in-the-loop. Significantly different from warehouse-scale computers that serve independent concurrent user requests, th
Externí odkaz:
http://arxiv.org/abs/2212.00721
Autor:
Tang, Fei, Gao, Wanling, Zhan, Jianfeng, Lan, Chuanxin, Wen, Xu, Wang, Lei, Luo, Chunjie, Dai, Jiahui, Cao, Zheng, Xiong, Xingwang, Jiang, Zihan, Hao, Tianshu, Fan, Fanda, Zhang, Fan, Huang, Yunyou, Chen, Jianan, Du, Mengjia, Ren, Rui, Zheng, Chen, Zheng, Daoyi, Tang, Haoning, Zhan, Kunlin, Wang, Biao, Kong, Defei, Yu, Minghe, Tan, Chongkang, Li, Huan, Tian, Xinhui, Li, Yatao, Shao, Junchao, Wang, Zhenyu, Wang, Xiaoyu, Ye, Hainan
Earlier-stage evaluations of a new AI architecture/system need affordable benchmarks. Only using a few AI component benchmarks like MLPerfalone in the other stages may lead to misleading conclusions. Moreover, the learning dynamics are not well under
Externí odkaz:
http://arxiv.org/abs/2004.14690
Autor:
Gao, Wanling, Tang, Fei, Zhan, Jianfeng, Lan, Chuanxin, Luo, Chunjie, Wang, Lei, Dai, Jiahui, Cao, Zheng, Xiong, Xiongwang, Jiang, Zihan, Hao, Tianshu, Fan, Fanda, Wen, Xu, Zhang, Fan, Huang, Yunyou, Chen, Jianan, Du, Mengjia, Ren, Rui, Zheng, Chen, Zheng, Daoyi, Tang, Haoning, Zhan, Kunlin, Wang, Biao, Kong, Defei, Yu, Minghe, Tan, Chongkang, Li, Huan, Tian, Xinhui, Li, Yatao, Lu, Gang, Shao, Junchao, Wang, Zhenyu, Wang, Xiaoyu, Ye, Hainan
Domain-specific software and hardware co-design is encouraging as it is much easier to achieve efficiency for fewer tasks. Agile domain-specific benchmarking speeds up the process as it provides not only relevant design inputs but also relevant metri
Externí odkaz:
http://arxiv.org/abs/2002.07162
Autor:
Ye, Hainan, Wang, Lei
Publikováno v:
In BenchCouncil Transactions on Benchmarks, Standards and Evaluations September 2023 3(3)
Autor:
Gao, Wanling, Tang, Fei, Wang, Lei, Zhan, Jianfeng, Lan, Chunxin, Luo, Chunjie, Huang, Yunyou, Zheng, Chen, Dai, Jiahui, Cao, Zheng, Zheng, Daoyi, Tang, Haoning, Zhan, Kunlin, Wang, Biao, Kong, Defei, Wu, Tong, Yu, Minghe, Tan, Chongkang, Li, Huan, Tian, Xinhui, Li, Yatao, Shao, Junchao, Wang, Zhenyu, Wang, Xiaoyu, Ye, Hainan
Today's Internet Services are undergoing fundamental changes and shifting to an intelligent computing era where AI is widely employed to augment services. In this context, many innovative AI algorithms, systems, and architectures are proposed, and th
Externí odkaz:
http://arxiv.org/abs/1908.08998
Autor:
Hao, Tianshu, Huang, Yunyou, Wen, Xu, Gao, Wanling, Zhang, Fan, Zheng, Chen, Wang, Lei, Ye, Hainan, Hwang, Kai, Ren, Zujie, Zhan, Jianfeng
In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues. So for edge computing benchmarking, we must take an end-to-end view, consider
Externí odkaz:
http://arxiv.org/abs/1908.01924
Autor:
Jiang, Zihan, Gao, Wanling, Wang, Lei, Xiong, Xingwang, Zhang, Yuchen, Wen, Xu, Luo, Chunjie, Ye, Hainan, Zhang, Yunquan, Feng, Shengzhong, Li, Kenli, Xu, Weijia, Zhan, Jianfeng
In recent years, with the trend of applying deep learning (DL) in high performance scientific computing, the unique characteristics of emerging DL workloads in HPC raise great challenges in designing, implementing HPC AI systems. The community needs
Externí odkaz:
http://arxiv.org/abs/1908.02607
Rapid growth of datacenter (DC) scale, urgency of cost control, increasing workload diversity, and huge software investment protection place unprecedented demands on the operating system (OS) efficiency, scalability, performance isolation, and backwa
Externí odkaz:
http://arxiv.org/abs/1901.00825
Autor:
Zhang, Zhifei, Gao, Wanling, Zhang, Fan, Huang, Yunyou, Dai, Shaopeng, Fan, Fanda, Zhan, Jianfeng, Du, Mengjia, Yin, Silin, Xiong, Longxin, Du, Juan, Cheng, Yumei, Zhou, Xiexuan, Ren, Rui, Wang, Lei, Ye, Hainan
Big medical data poses great challenges to life scientists, clinicians, computer scientists, and engineers. In this paper, a group of life scientists, clinicians, computer scientists and engineers sit together to discuss several fundamental issues. F
Externí odkaz:
http://arxiv.org/abs/1901.00642