Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Shengen Yan"'
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:2781-2793
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba9f1f03bf3302c185c6b2a4b57e825a
https://doi.org/10.1109/tpds.2021.3136245
https://doi.org/10.1109/tpds.2021.3136245
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:1173-1184
We observe that data access and processing takes a significant amount of time in large-scale deep learning training tasks (DLTs) on image datasets. Three factors contribute to this problem: (1) the massive and recurrent accesses to large numbers of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d004eea07439dc161a46f666de1765d1
https://doi.org/10.1109/tpds.2021.3104252
https://doi.org/10.1109/tpds.2021.3104252
Autor:
Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang
Publikováno v:
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a13d3c3e4c458571b35256937ab33fd1
https://doi.org/10.1109/hpca56546.2023.10071018
https://doi.org/10.1109/hpca56546.2023.10071018
Publikováno v:
2022 IEEE International Symposium on Workload Characterization (IISWC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dc3a1671fb6a761528617cffc2ec6b7
https://doi.org/10.1109/iiswc55918.2022.00032
https://doi.org/10.1109/iiswc55918.2022.00032
Autor:
Lijuan Jiang, Ping Xu, Qianchao Zhu, Xiuhong Li, Shengen Yan, Xingcheng Zhang, Dahua Lin, Wenjing Ma, Zhouyang Li, Jun Liu, Jinming Ma, Minxi Jin, Chao Yang
Publikováno v:
Proceedings of the 51st International Conference on Parallel Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::638a25d59b29a096a01c118bb48b1ee8
https://doi.org/10.1145/3545008.3545037
https://doi.org/10.1145/3545008.3545037
Autor:
Size Zheng, Renze Chen, Anjiang Wei, Yicheng Jin, Qin Han, Liqiang Lu, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang
Publikováno v:
Proceedings of the 49th Annual International Symposium on Computer Architecture.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2af1312fdb07afc7f722536f06ed82e1
https://doi.org/10.1145/3470496.3527440
https://doi.org/10.1145/3470496.3527440
Publikováno v:
FCCM
In recent years, convolutional neural networks (CNNs) have become widely adopted for computer vision tasks. Field-programmable gate arrays (FPGAs) have been adequately explored as a promising hardware accelerator for CNNs due to its high performance,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06b55e6c2c93ada5dfdd8a91fb1d58a6
https://doi.org/10.1109/tcad.2019.2897701
https://doi.org/10.1109/tcad.2019.2897701
Publikováno v:
SC
Modern GPU datacenters are critical for delivering Deep Learning (DL) models and services in both the research community and industry. When operating a datacenter, optimization of resource scheduling and management can bring significant financial ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68392aa6cbb84f2c52356c7d81a691be
https://doi.org/10.1145/3458817.3476223
https://doi.org/10.1145/3458817.3476223
Publikováno v:
ICPADS
In computer vision deep learning (DL) tasks, most of the input image datasets are stored in the JPEG format. These JPEG datasets need to be decoded before DL tasks are performed on them. We observe two problems in the current JPEG decoding procedures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::812f968175d975c8082f422822f232f2
https://doi.org/10.1109/icpads51040.2020.00045
https://doi.org/10.1109/icpads51040.2020.00045
Publikováno v:
ICDCS
Showing a promising future in improving resource utilization and accelerating training, elastic deep learning training has been attracting more and more attention recently. Nevertheless, existing approaches to provide elasticity have certain limitati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8532ddacd3c58a3b46a1641b8a1c9540
https://doi.org/10.1109/icdcs47774.2020.00018
https://doi.org/10.1109/icdcs47774.2020.00018