Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Myungjun Son"'
Publikováno v:
IEEE Transactions on Cloud Computing. 10:521-538
Many data mining workloads are being analyzed in large-scale distributed cloud computing environments which provide nearly infinite resources with diverse hardware configurations. To maintain cost-efficiency in such environments, understanding the ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb3187f40aa9fc1e32f4367520ddcff
https://doi.org/10.1109/tcc.2019.2950400
https://doi.org/10.1109/tcc.2019.2950400
Autor:
Myungjun Son, Shruti Mohanty, Jashwant Raj Gunasekaran, Aman Jain, Mahmut Taylan Kandemir, George Kesidis, Bhuvan Urgaonkar
Publikováno v:
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd1a66bb81dc43cd546efb99cc8f7379
https://doi.org/10.1109/ccgrid54584.2022.00021
https://doi.org/10.1109/ccgrid54584.2022.00021
Distributed Matrix Multiplication Performance Estimator for Machine Learning Jobs in Cloud Computing
Autor:
Kyungyong Lee, Myungjun Son
Publikováno v:
IEEE CLOUD
Matrix multiplication is an important kernel task in many machine learning algorithms. As the size of input datasets increases, multiple workloads are analyzed in large-scale distributed cloud computing environments. Therefore, understanding the char
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d208ec44a617e69f7a153fc2871201e6
https://doi.org/10.1109/cloud.2018.00088
https://doi.org/10.1109/cloud.2018.00088
Autor:
Myungjun Son, Kyungyong Lee
Publikováno v:
CLOUD
Cloud computing resources that are equipped with GPU devices are widely used for applications that require extensive parallelism, such as deep learning. When the demand of cloud computing instance is low, the surplus of resources is provided at a low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9326128b4c820550e3e123fdc460636b
https://doi.org/10.1109/cloud.2017.21
https://doi.org/10.1109/cloud.2017.21