Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Minh Thanh Chung"'
Publikováno v:
Parallel and Distributed Computing, Applications and Technologies ISBN: 9783031299261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bb84ea615df33f57f6e9099daee0bee
https://doi.org/10.1007/978-3-031-29927-8_35
https://doi.org/10.1007/978-3-031-29927-8_35
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783031304415
Load imbalance is often a challenge for applications in parallel systems. Static cost models and pre-partitioning algorithms distribute the load at the beginning. Nevertheless, dynamic changes during execution or inaccurate cost indicators may lead t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3be66ebd13cb51697c90efa493b2af26
https://doi.org/10.1007/978-3-031-30442-2_20
https://doi.org/10.1007/978-3-031-30442-2_20
Autor:
Minh Thanh Chung, Dieter Kranzlmuller
Publikováno v:
2021 15th International Conference on Advanced Computing and Applications (ACOMP).
Publikováno v:
PASC
Increasingly complex hardware architectures as well as numerical algorithms make balancing load in parallel numerical software for adaptive mesh refinement an inherently difficult task, especially if variability of system components and unpredictabil
Publikováno v:
Modeling, Simulation and Optimization of Complex Processes HPSC 2018 ISBN: 9783030552398
Today’s scientific computing applications require many different kinds of task and computational resource. The success of scientific computing hinges on the development of High Performance Computing (HPC) system in the role of decreasing execution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3f9af6f827229e6902b18be4b147cfa
https://doi.org/10.1007/978-3-030-55240-4_6
https://doi.org/10.1007/978-3-030-55240-4_6
Autor:
Minh-Tri Nguyen, Nguyen Quang-Hung, Nhu-Y Nguyen-Huynh, Minh Thanh Chung, Thanh-Dang Diep, Nam Thoai, Manh-Thin Nguyen
Publikováno v:
Modeling, Simulation and Optimization of Complex Processes HPSC 2018 ISBN: 9783030552398
Chainer is a well-known deep learning framework facilitating the quick and efficient establishment of Artificial Neural Networks. Chainer can be deployed on systems consisting of Central Processing Units and Graphics Processing Units efficiently. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aaab9913eb0487fa1f09e5c6e0a974f
https://doi.org/10.1007/978-3-030-55240-4_7
https://doi.org/10.1007/978-3-030-55240-4_7
Publikováno v:
SN Computer Science. 1
Student data play an important role in evaluating the effectiveness of educational programs in the universities. All data are aggregated to calculate the education criteria by year, region, or organization. Remarkably, recent studies showed the data
Publikováno v:
ACOMP
Educational Data Mining (EDM) is necessary for extracting useful information from educational institutions. Various algorithms have been employed to measure student's GPA in the next semester's courses. The results can be used to early identify dropo
Publikováno v:
HPCC/SmartCity/DSS
Nowadays, Education Data Mining (EDM) plays a very important role in higher education institutions. Plenty of algorithms have been employed to measure student's GPA in the next semester's courses. The results can be used to early identify dropout stu
Publikováno v:
HPCC/SmartCity/DSS
Scheduling in High Performance Computing (HPC) platforms is often a challenge with a huge range of researches and a noticeable phenomenon is a divergence between theory and practice. Especially, the heterogeneity of jobs today is becoming more popula