Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Weng Fai Wong"'
Autor:
TAO LUO1, WENG-FAI WONG2, SIOW MONG GOH, RICK1, ANH TUAN DO3, ZHIXIAN CHEN3, HAIZHOU LI4, WENYU JIANG5, WEIYUN YAU5
Publikováno v:
Communications of the ACM. Jul2023, Vol. 66 Issue 7, p52-57. 6p. 1 Color Photograph, 3 Diagrams.
Publikováno v:
IEEE Access, Vol 9, Pp 93723-93733 (2021)
In sub-20 nm technologies, DRAM cells suffer from poor retention time. With the technology scaling, this problem tends to be worse, significantly increasing refresh power of DRAM. This is more problematic in memory heavy applications such as deep lea
Externí odkaz:
https://doaj.org/article/8c517e5882d8417f9b940b4aa4c1af94
Publikováno v:
IEEE Transactions on Computers. 72:1692-1705
Quantum(-inspired) annealers show promise in solving combinatorial optimisation problems in practice. There has been extensive researches demonstrating the utility of D-Wave quantum annealer and quantum-inspired annealer, i.e., Fujitsu Digital Anneal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6166be8dc747393b051d8ecbb84655f0
https://doi.org/10.1109/tc.2022.3219257
https://doi.org/10.1109/tc.2022.3219257
Autor:
Yu-Ting, Kuo, Yu-Long, Chu, Weng-Fai, Wong, Ming-Lun, Han, Chieh-Chang, Chen, I-Shiow, Jan, Wern-Cherng, Cheng, Chia-Tung, Shun, Ming-Chang, Tsai, Tsu-Yao, Cheng, Hsiu-Po, Wang
Publikováno v:
Gastrointestinal Endoscopy. 97:732-740
For EUS-guided fine-needle biopsy (EUS-FNB) of solid pancreatic lesions (SPLs), the role of sampling strategy between a targeted biopsy and wide sampling has not been reported. This study aimed to investigate the benefits of the two sampling techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c289c5f5880d432da56151267e637d24
https://doi.org/10.1016/j.gie.2022.12.004
https://doi.org/10.1016/j.gie.2022.12.004
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 15:1-31
FPGA has been an emerging computing infrastructure in datacenters benefiting from fine-grained parallelism, energy efficiency, and reconfigurability. Meanwhile, graph processing has attracted tremendous interest in data analytics, and its performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f96bddaa0f7447cea22587d9578e755e
https://doi.org/10.1145/3517141
https://doi.org/10.1145/3517141
Publikováno v:
Sensors, Vol 21, Iss 24, p 8271 (2021)
With technology scaling, maintaining the reliability of dynamic random-access memory (DRAM) has become more challenging. Therefore, on-die error correction codes have been introduced to accommodate reliability issues in DDR5. However, the current sol
Externí odkaz:
https://doaj.org/article/17a2e519339642ce95d90fdf059d0c90
Autor:
Weng-Fai Wong, Tao Luo, Liwei Yang, Xuan Wang, Yingnan Cui, Chuping Qu, Huaipeng Zhang, Rick Siow Mong Goh
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:2957-2969
Neuromorphic computing chips consisting of crossbar arrays of emergent non-volatile memory have the potential of achieving both high energy efficiency and throughput as low power implementation of convolutional neural network (CNN) inference engines.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59ddcddd8c7a55663d4acd202e01879c
https://doi.org/10.1109/tcad.2021.3120068
https://doi.org/10.1109/tcad.2021.3120068
Autor:
Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng Fai Wong
Publikováno v:
Neurocomputing. 474:128-140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f04e59d26521f1b84bcbc7c4db9d7a2b
https://doi.org/10.1016/j.neucom.2021.12.021
https://doi.org/10.1016/j.neucom.2021.12.021
Autor:
Nhut-Minh Ho, Weng-Fai Wong
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:429-443
Driven by the demands of deep learning, many hardware accelerators, including GPUs, have begun to include specialized tensor processing units to accelerate matrix operations. However, general-purpose GPU applications that have little or no large dens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8063f520237d80d2d00703c1d1b81ab4
https://doi.org/10.1109/tpds.2021.3093239
https://doi.org/10.1109/tpds.2021.3093239
Publikováno v:
Next Generation Arithmetic ISBN: 9783031321795
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b94b591aa280f568bbc488444f8f76
https://doi.org/10.1007/978-3-031-32180-1_2
https://doi.org/10.1007/978-3-031-32180-1_2
