Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Yoonhee Kim"'
Autor:
Yoonhee Kim, Sejin Kim
Publikováno v:
Cluster Computing. 25:597-617
Data centers and cloud environments have recently started providing graphic processing unit (GPU)-based infrastructure services. Actual general purpose GPU (GPGPU) applications have low GPU utilization, unlike GPU-friendly applications. To improve th
Autor:
YoonHee Kim
Publikováno v:
Comparative Japanese Studies. 52:329-351
Publikováno v:
Journal of KIISE. 48:604-611
Publikováno v:
KIISE Transactions on Computing Practices. 26:528-534
Autor:
Masahiro Hashizume, Yoonhee Kim, Jinsu Park, Yeonseung Chung, Taeryon Choi, Yasushi Honda, Jae-Eun Yu
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics. 26:45-70
Two-stage meta-analysis has been popularly used in epidemiological studies to investigate an association between environmental exposure and health response by analyzing time-series data collected from multiple locations. The first stage estimates the
Publikováno v:
Cluster Computing. 23:2273-2285
The low capacity of main memory has become a critical issue in the performance of systems. Several memory schemes, utilizing multiple classes of memory devices, are used to mitigate the problem; hiding the small capacity by placing data in proper mem
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
Autor:
Yoonhee Kim, Kim Sejin
Publikováno v:
Journal of KIISE. 46:975-980
Publikováno v:
Journal of KIISE. 46:919-925
Publikováno v:
ACSOS-C
Popular deep learning frameworks like PyTorch utilize GPUs heavily for training, and suffer from out-of-memory (OOM) problems if memory is not managed properly. In this paper, we propose a modification that utilizes CUDA Unified Memory (UM) to expand