Zobrazeno 1 - 10
of 31
pro vyhledávání: '"HENGSHAN YUE"'
Autor:
XIAOHUI WEI,, CHENYANG WANG, HENGSHAN YUE, JINGWEIJIA TAN, ZEYU GUAN, NAN JIANG, XINYANG ZHENG, JIANPENG ZHAO, MEIKANG QIU
Publikováno v:
ACM Transactions on Architecture & Code Optimization; Sep2024, Vol. 21 Issue 3, p1-26, 26p
Publikováno v:
IEEE Access, Vol 7, Pp 25959-25971 (2019)
Real-time underwater monitoring has been widely applied in many applications of underwater wireless sensor networks (UWSNs). Due to the long acoustic communication delays, the real-time data collection in UWSNs is challenging. Moreover, the underwate
Externí odkaz:
https://doaj.org/article/744c1377e2de4039a45338dc98aca9d4
Publikováno v:
CCF Transactions on High Performance Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d77cb52855d0dc96b2885e078394679d
https://doi.org/10.1007/s42514-023-00156-w
https://doi.org/10.1007/s42514-023-00156-w
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:2080-2093
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90153b95442ea54565ce3b58069c9d9f
https://doi.org/10.1109/tcad.2021.3104529
https://doi.org/10.1109/tcad.2021.3104529
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 9:1344-1358
Sparse mobile crowdsensing (Sparse MCS), a new paradigm for large-scale fine-grained urban monitoring applications, collects sensing data from relatively few areas and infers data for uncovered areas. In Sparse MCS, the task allocation problem is sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::498bc70537143e89e1686c1e918a2bea
https://doi.org/10.1109/tetc.2020.3045463
https://doi.org/10.1109/tetc.2020.3045463
Publikováno v:
Future Generation Computer Systems. 109:262-274
As General-Purpose Graphics Processing Units (GPGPUs) become pervasive for the High-Performance Computing (HPC), ensuring that programs can be protected from soft errors has become increasingly important. Soft errors may cause Silent Data Corruptions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f86fa640fc995432891c628ada11cb7
https://doi.org/10.1016/j.future.2020.03.040
https://doi.org/10.1016/j.future.2020.03.040
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783031109850
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa8561c20c1e4e0fae529386b409ec2
https://doi.org/10.1007/978-3-031-10986-7_14
https://doi.org/10.1007/978-3-031-10986-7_14
Publikováno v:
SC
As GPUs become ubiquitous in large-scale general purpose HPC systems (GPGPUs), ensuring the reliable execution of such systems in the presence of soft errors is increasingly essential. To provide insights into how resilient GPU programs are toward so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e3172dd14e9e551393053c688b91e98
https://doi.org/10.1145/3458817.3476170
https://doi.org/10.1145/3458817.3476170
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783030821524
KSEM
KSEM
As General-Purpose Graphics Processing Units (GPGPUs) are widely used in High-Performance Computing (HPC) applications, the vulnerability of GPGPUs to soft errors becomes a critical concern. In this paper, we propose an efficient instruction duplicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::776567e8556df9cd165b58683062221b
https://doi.org/10.1007/978-3-030-82153-1_47
https://doi.org/10.1007/978-3-030-82153-1_47