Zobrazeno 1 - 10
of 58
pro vyhledávání: '"XULONG TANG"'
Publikováno v:
Energies, Vol 7, Iss 5, Pp 3121-3135 (2014)
The present paper investigated the process of the slag wool fabrication using high temperature blast furnace (BF) slag modified by coal ash (CA). The liquidus temperature and viscosity of the slag system with different mass ratios of BF slag and CA w
Externí odkaz:
https://doaj.org/article/db5fd95609ec41f49fd4e1fed7db1487
Autor:
Sebastien Ollivier, Sheng Li, Yue Tang, Stephen Cahoon, Ryan Caginalp, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones
Publikováno v:
IEEE Micro. 43:19-28
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bb2ea946ab57aad7444f37dbaf43758
https://doi.org/10.1109/mm.2022.3220399
https://doi.org/10.1109/mm.2022.3220399
Publikováno v:
CCF Transactions on High Performance Computing. 4:461-473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2def5cfb6dd15c78b4c83f903d1fce4b
https://doi.org/10.1007/s42514-022-00121-z
https://doi.org/10.1007/s42514-022-00121-z
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework
Autor:
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-22
Efficient deployment of Deep Neural Networks (DNNs) on edge devices (i.e., FPGAs and mobile platforms) is very challenging, especially under a recent witness of the increasing DNN model size and complexity. Model compression strategies, including wei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4178fbf4604bfc50b7517c1a055da043
https://doi.org/10.1145/3528578
https://doi.org/10.1145/3528578
Publikováno v:
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b776d8657b7c469b22059bfde57b1d79
https://doi.org/10.1109/hpca56546.2023.10070956
https://doi.org/10.1109/hpca56546.2023.10070956
Publikováno v:
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fdf782bab8e8ff37bee06f45c76d127
https://doi.org/10.1109/hpca56546.2023.10071064
https://doi.org/10.1109/hpca56546.2023.10071064
Publikováno v:
ACM Transactions on Embedded Computing Systems. 20:1-24
Multi-head self-attention (attention mechanism) has been employed in a variety of fields such as machine translation, language modeling, and image processing due to its superiority in feature extraction and sequential data analysis. This is benefited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1291e528933e788a01a00e602e16ea4c
https://doi.org/10.1145/3477002
https://doi.org/10.1145/3477002
Publikováno v:
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4952714505dacfa26c0f4279e7809f2
https://doi.org/10.1145/3508352.3549386
https://doi.org/10.1145/3508352.3549386
Publikováno v:
2022 IEEE 40th International Conference on Computer Design (ICCD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac735baf33c528a4b9af35a8560e5401
https://doi.org/10.1109/iccd56317.2022.00031
https://doi.org/10.1109/iccd56317.2022.00031
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15997-16000
The rapid development and wide utilization of object detection techniques have aroused requirements for both accuracy and speed of object detectors. In this work, we propose a compression-compilation co-design framework to achieve real-time YOLOv4 in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08d9c74a519332e06d6b565e62d5cee5
https://doi.org/10.1609/aaai.v35i18.17992
https://doi.org/10.1609/aaai.v35i18.17992