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pro vyhledávání: '"Yoonhee Kim"'
Publikováno v:
Cluster Computing.
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
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:
Sejin Kim, Yoonhee Kim
Publikováno v:
Cluster Computing.
Recently, improving the overall resource utilization through efficient scheduling of applications on graphic processing unit (GPU) clusters has been a concern. Traditional cluster-orchestration platforms providing GPUs exclusively for applications co
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
Publikováno v:
Cluster Computing. 23:347-357
RDMA is increasingly becoming popular not only in HPC but also in data centers where high throughput and low latency are critical requirements. RDMA supports several types of transports, each of which has different characteristics, so that users can