Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Yoonhee Kim"'
Publikováno v:
Journal of KIISE. 48:604-611
Autor:
Yoonhee Kim, Jisun Oh
Publikováno v:
Cluster Computing. 23:2219-2234
Graphics Processing Units (GPU) are widely used for high-speed processes in the computational science areas of biology, chemistry, meteorology, etc. and the machine learning areas of image and video analysis. Recently, data centers and cloud companie
Publikováno v:
Journal of KIISE. 46:919-925
Autor:
Jongbae Moon, Jae Wan Ahn, Yoonhee Kim, Jin-Ho Kim, Kum Won Cho, Soon-Heum Ko, Chongam Kim, Byoungsoo Kim
Publikováno v:
Convergence and Hybrid Information Technologies
‘e-Science’ represents the global collaborations of people and shared resources to solve new and challenging problems in science and engineering (Hey & Trefethen, 2003) on the basis of the IT infrastructure, typically referred to as the Grid (Fos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a096a5a28e7169809a285aa1e68c173
http://www.intechopen.com/articles/show/title/use-of-e-science-environment-on-cfd-education
http://www.intechopen.com/articles/show/title/use-of-e-science-environment-on-cfd-education
Publikováno v:
KSII Transactions on Internet and Information Systems. 15
Recently, most cloud services use Docker container environment to provide their services. However, there are no researches to evaluate the performance of communication libraries for multi-GPU based distributed deep learning in a Docker container envi
Publikováno v:
Cluster Computing. 23:2179-2191
Container based virtualization is an innovative technology that accelerates software development by providing portability and maintainability of applications. Recently, a growing number of workloads such as high performance computing (HPC) and Deep L
Autor:
Sooyong Kang, Hyeongwon Jang, Jae Eun Kim, Hyuck Han, Yoonhee Kim, Hyungsoo Jung, Sang Youp Rhee
Publikováno v:
Cluster Computing. 23:895-910
Storage systems in general and databases in particular usually balance between write durability and performance. It is not uncommon that write durability often relies on transaction systems that also offer a relaxed model of durability for performanc
Publikováno v:
Cluster Computing. 22:361-371
Non-volatile random access memory (NVRAM) is a promising approach to persistent data storage with outstanding advantages over traditional storage devices, such as hard disk drives (HDDs) and solid state drives (SSDs). Some of its biggest advantages a
Autor:
Yoonhee Kim, Eunwoo Kim
Publikováno v:
ICOIN
Incremental deep learning aims to learn a sequence of tasks while avoiding forgetting their knowledge. One naive approach using a deep architecture is to increase the capacity of the architecture as the number of tasks increases. However, this is fol
Autor:
Sejin Kim, Yoonhee Kim
Publikováno v:
CLUSTER
Recently, efficient execution of applications on Graphic Processing Unit(GPU) has emerged as a research topic to increase overall system throughput in cluster environment. As a current cluster orchestration platform using GPUs only supports an exclus