Zobrazeno 1 - 10
of 83
pro vyhledávání: '"GAOMING DU"'
Publikováno v:
Micromachines, Vol 14, Iss 2, p 444 (2023)
Traffic splitting enabled by Globally Asynchronous Locally Synchronous (GALS) Network-on-chip (NoC) brings multipath routing capability, which significantly increases link bandwidth at the cost of out-of-order packet delivery. Solving the packet reor
Externí odkaz:
https://doaj.org/article/a3edbfc14b534733ade44eb090ed2d28
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 70:751-755
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8085c11fc57152eae62b20a566f97214
https://doi.org/10.1109/tcsii.2022.3215903
https://doi.org/10.1109/tcsii.2022.3215903
Publikováno v:
IEEE Design & Test. 39:79-89
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7238f075fae188ccf0bbf391fafcabd
https://doi.org/10.1109/mdat.2022.3202993
https://doi.org/10.1109/mdat.2022.3202993
Autor:
Gaoming Du, Bangyi Chen, Zhenmin Li, Zhenxing Tu, Junjie Zhou, Shenya Wang, Qinghao Zhao, Yongsheng Yin, Xiaolei Wang
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 15:1-20
Binarized neural networks (BNNs) and batch normalization (BN) have already become typical techniques in artificial intelligence today. Unfortunately, the massive accumulation and multiplication in BNN models bring challenges to field-programmable gat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4be874ee9cad991ea9f6407a3637ce9f
https://doi.org/10.1145/3494569
https://doi.org/10.1145/3494569
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 17:1-21
Foggy weather reduces the visibility of photographed objects, causing image distortion and decreasing overall image quality. Many approaches (e.g., image restoration, image enhancement, and fusion-based methods) have been proposed to work out the pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d08111beddaadb42f3cbdd0c2a42e5ba
https://doi.org/10.1145/3446241
https://doi.org/10.1145/3446241
Publikováno v:
2021 IEEE 14th International Conference on ASIC (ASICON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9674f3e9f92bf7bfa7308a486779a533
https://doi.org/10.1109/asicon52560.2021.9620327
https://doi.org/10.1109/asicon52560.2021.9620327
Publikováno v:
Integration. 69:75-84
Wireless network-on-chip (WiNoC) is a new paradigm to mitigate the long-distance transmission latency for conventional wired network-on-chip. The wireless routers in WiNoC have to handle a large number of packets which could cause data congestion, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e7db3de1b072707b87a19b05e8c4588
https://doi.org/10.1016/j.vlsi.2019.03.008
https://doi.org/10.1016/j.vlsi.2019.03.008
Autor:
Cao Yifan, Duoli Zhang, Zhonghai Lu, Minglun Gao, Gaoming Du, Yiming Ouyang, Liu Guanyu, Zhenmin Li
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 15:1-26
Network-on-Chip (NoC) has become the de facto communication standard for multi-core or many-core System-on-Chip (SoC) due to its scalability and flexibility. However, an important factor in NoC design is temperature, which affects the overall perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12e615e75f0b8ca48f7136a07689bf3d
https://doi.org/10.1145/3313869
https://doi.org/10.1145/3313869
Publikováno v:
Journal of Real-Time Image Processing. 17:691-702
Depth modeling mode 1 (DMM-1) is vital for 3D high-efficiency video coding, since it results in low distortion and is suitable for sharp boundaries. When designing DMM-1 encoders, traditional work used serial methods to calculate all the wedgelets, l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e59ef09b8d765b162e9107f0dc412f8
https://doi.org/10.1007/s11554-019-00875-w
https://doi.org/10.1007/s11554-019-00875-w
Publikováno v:
ICCD
Convolution Neural Networks (CNNs) involve massive data to be calculated and stored. To meet the challenges above, parallel hardware accelerators consisting of hundreds of Processing Elements (PEs) arranged as a many-core systemon-chip, connected by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7e7dcac819b7e2a0ffa51ba612ca9ad
https://doi.org/10.1109/iccd46524.2019.00029
https://doi.org/10.1109/iccd46524.2019.00029