Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Qingcai Jiang"'
Autor:
Xinming Qin, Junshi Chen, Zhaolong Luo, Lingyun Wan, Jielan Li, Shizhe Jiao, Zhenlin Zhang, Qingcai Jiang, Wei Hu, Hong An, Jinlong Yang
Publikováno v:
CCF Transactions on High Performance Computing. 5:26-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c1f95ed57dc06bace8cd2fcd2ab4035
https://doi.org/10.1007/s42514-022-00120-0
https://doi.org/10.1007/s42514-022-00120-0
Publikováno v:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2471e13cc936b5f5123b6f234ce35aa
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00151
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00151
Autor:
Wei Hu, Hong An, Zhuoqiang Guo, Qingcai Jiang, Xinming Qin, Junshi Chen, Weile Jia, Chao Yang, Zhaolong Luo, Jielan Li, Wentiao Wu, Guangming Tan, Dongning Jia, Qinglin Lu, Fangfang Liu, Min Tian, Fang Li, Yeqi Huang, Liyi Wang, Sha Liu, Jinlong Yang
Publikováno v:
SC22: International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07588affe331debaa0c339f2ac29f28
https://doi.org/10.1109/sc41404.2022.00010
https://doi.org/10.1109/sc41404.2022.00010
Publikováno v:
International Journal of Parallel Programming. 49:671-684
Apache Storm is a scalable fault-tolerant distributed real time stream-processing framework widely used in big data applications. For distributed data-sensitive applications, low-latency, high-throughput communication modules have a critical impact o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1614a8dc3afd9b4e74633330437bc34b
https://doi.org/10.1007/s10766-021-00696-0
https://doi.org/10.1007/s10766-021-00696-0
Autor:
Fangfang Liu, Jinlong Yang, Weile Jia, Dexun Chen, Qingcai Jiang, Xinming Qin, Xin Liu, Hong An, Junshi Chen, Yuwen Zhao, Wei Hu, Fang Li
Publikováno v:
Science Bulletin. 66:111-119
High performance computing (HPC) is a powerful tool to accelerate the Kohn–Sham density functional theory (KS-DFT) calculations on modern heterogeneous supercomputers. Here, we describe a massively parallel implementation of discontinuous Galerkin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d049543b321891a06e33858f2c42d40c
https://doi.org/10.1016/j.scib.2020.06.025
https://doi.org/10.1016/j.scib.2020.06.025
Publikováno v:
Procedia CIRP. 95:772-776
In order to fabricate deep-narrow groove, a tube electrode was introduced in electrochemical milling process. A flow field model was established to theoretically verify the feasibility of electrochemical milling with tube electrode in the fabrication
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a50c56cc13963e91095e4bb052a4319
https://doi.org/10.1016/j.procir.2020.02.321
https://doi.org/10.1016/j.procir.2020.02.321
Autor:
Mingfan Li, Junshi Chen, Qian Xiao, Fei Wang, Qingcai Jiang, Xuncheng Zhao, Rongfen Lin, Hong An, Xiao Liang, Lixin He
Efficient numerical methods are promising tools for delivering unique insights into the fascinating properties of physics, such as the highly frustrated quantum many-body systems. However, the computational complexity of obtaining the wave functions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3b6704723074479e946a8574e60f4c1
http://arxiv.org/abs/2108.13830
http://arxiv.org/abs/2108.13830
Publikováno v:
HPCC/DSS/SmartCity
Nowadays, Kohn-Sham density functional theory (DFT) calculation has drawn more and more attention in chemistry and material science simulations. However, due to the extreme large Hamiltonian matrix needed to be generated during the calculation, when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5db8b5b39270ce307309f35993ba699c
https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00025
https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00025
Publikováno v:
ISPA/BDCloud/SocialCom/SustainCom
Massively multithreaded GPUs achieve considerable performance improvements by thousands of processing cores running simultaneously for compute-intensive applications. However, present parallel programming model suffers significant performance degrada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d018bba3a2be7ee646b2fb45cbd12c01
https://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00083
https://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00083
Publikováno v:
Iron Steel Vanadium Titanium; 2024, Vol. 45 Issue 4, p95-104, 10p