Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Majun He"'
Publikováno v:
Applied Intelligence. 52:3880-3900
Since its release, the Tensorflow framework has been widely used in various fields due to its advantages in deep learning. However, it is still at its early state. Its native distributed implementation has difficulty in expanding for large models bec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d31aee6ff28584949adbda97b23ba395
https://doi.org/10.1007/s10489-021-02588-9
https://doi.org/10.1007/s10489-021-02588-9
Publikováno v:
Optical Materials. 129:112462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e1d13a17c96f447d75e3a7df6042db9
https://doi.org/10.1016/j.optmat.2022.112462
https://doi.org/10.1016/j.optmat.2022.112462
Publikováno v:
International Journal of Computer Science and Information Technology. 10:67-78
NP Complete (abbreviated as NPC) problems, standing at the crux of deciding whether P=NP, are among hardest problems in computer science and other related areas. Through decades, NPC problems are treated as one class. Observing that NPC problems have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f193978b3b946e5f5b84302548c8761f
https://doi.org/10.5121/ijcsit.2018.10106
https://doi.org/10.5121/ijcsit.2018.10106
Publikováno v:
SERVICES
There are quite a few algorithms on minimizing the makespan of a set of offline MapReduce jobs. However, these algorithms are heuristic or suboptimal. The best-known algorithm for minimizing the makespan is 3-approximation by applying Johnson model.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9119da4012ec25c0243dc2826d7355ae
https://doi.org/10.1109/services.2018.00014
https://doi.org/10.1109/services.2018.00014
Publikováno v:
ICNCC
MapReduce which has been a well-known programming model processes numerous raw data in large scale clusters. However, great challenges have been brought to MapReduce programming model while routinely handling the big data. To mitigate the process tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a45692890f845eb15996033b9d1beb04
https://doi.org/10.1145/3171592.3171610
https://doi.org/10.1145/3171592.3171610