Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Biwei XIE"'
Autor:
Wanling Gao, Lei Wang, Mingyu Chen, Jin Xiong, Chunjie Luo, Wenli Zhang, Yunyou Huang, Weiping Li, Guoxin Kang, Chen Zheng, Biwei Xie, Shaopeng Dai, Qian He, Hainan Ye, Yungang Bao, Jianfeng Zhan
Publikováno v:
BenchCouncil Transactions on Benchmarks, Standards and Evaluations, Vol 2, Iss 3, Pp 100075- (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:
https://doaj.org/article/da5c045703394cd3af2bf03aab3f597a
Publikováno v:
大数据, Vol 5, Pp 50-66 (2019)
Due to the end of Moore’s Law,traditional chip developing effort focusing on general-purpose performance cannot last long.However,the high entrance requirements and commercial limits block the further innovation and delay its time to market.Therefo
Externí odkaz:
https://doaj.org/article/6ecbf9348505467782376cb4247748e2
Publikováno v:
Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b853100e02cebd39d5b84cd2a5c33961
https://doi.org/10.1145/3566097.3567903
https://doi.org/10.1145/3566097.3567903
Publikováno v:
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62c82fa8df05a5ebb8ae30ffae3583a2
https://doi.org/10.23919/date54114.2022.9774499
https://doi.org/10.23919/date54114.2022.9774499
This book constitutes the refereed proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2023, held in Sanya, China, during December 3–5, 2023. The 11 full papers included in this book were
Autor:
Defei Kong, Shaopeng Dai, Jianan Chen, Rui Han, Biwei Xie, Wanling Gao, Jinheng Li, Minghe Yu
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811359095
Nowadays, more and more scientific data has been produced through high-energy physics (HEP) facilities. Even in one particle physics experiment, the generated data reaches to petabytes scale. Retrieving data from massive data occupies a large proport
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d53179970154cd7e47b1df2a7a950893
https://doi.org/10.1007/978-981-13-5910-1_2
https://doi.org/10.1007/978-981-13-5910-1_2
Autor:
Chen Zheng, Fan Zhang, Lei Wang, Chunjie Luo, Daoyi Zheng, Fanda Fan, Tianshu Hao, Hainan Ye, Xiaoyu Wang, Xiwen He, Jianfeng Zhan, Jianan Chen, Biwei Xie, Wanling Gao, Zheng Cao, Wei Li, Kent Zhan, Yunyou Huang, Xu Wen, Zhen Jia, Mengjia Du, Jiahui Dai, Xingwang Xiong, Zihan Jiang, Haoning Tang
Publikováno v:
Benchmarking, Measuring, and Optimizing ISBN: 9783030328122
Bench
Bench
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aaa4fa17febd9e0fbea981534515be7
https://doi.org/10.1007/978-3-030-32813-9_1
https://doi.org/10.1007/978-3-030-32813-9_1
Publikováno v:
Benchmarking, Measuring, and Optimizing ISBN: 9783030328122
Bench
Bench
SpMV is an essential kernel existing in many HPC and data center applications. Meanwhile, the emerging many-core hardware provides promising computational power, and is widely used for acceleration. Many methods and formats have been proposed aiming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e0e6fb346d2f1336b18d42ffc3f679f
https://doi.org/10.1007/978-3-030-32813-9_19
https://doi.org/10.1007/978-3-030-32813-9_19
Publikováno v:
ISPA/IUCC/BDCloud/SocialCom/SustainCom
Due to the growth of data scale, distributed machine learning has become more important than ever. Some recent work, like TuX^2, show promising prospect in dealing with distributed machine learning by leveraging the power of graph computation, but st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88a725294cbb15b6c9d8642bfeab0c0a
https://doi.org/10.1109/bdcloud.2018.00090
https://doi.org/10.1109/bdcloud.2018.00090
Publikováno v:
ICS
Sparse Matrix-Vector Multiplication (SpMV) is an essential computation kernel for many data-analytic workloads running in both supercomputers and data centers. The intrinsic irregularity in SpMV is challenging to achieve high performance, especially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::158afc017b2b97016161ecbd357ca526
https://doi.org/10.1145/3205289.3205313
https://doi.org/10.1145/3205289.3205313