Moon-sang Kwon
Samsung
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Publication
Featured researches published by Moon-sang Kwon.
international symposium on computer architecture | 2016
Bon-Cheol Gu; Andre S. Yoon; Duck-Ho Bae; Insoon Jo; Jin-Young Lee; Jonghyun Yoon; Jeong-Uk Kang; Moon-sang Kwon; Chanho Yoon; Sangyeun Cho; Jaeheon Jeong; Duckhyun Chang
Data-intensive queries are common in business intelligence, data warehousing and analytics applications. Typically, processing a query involves full inspection of large in-storage data sets by CPUs. An intuitive way to speed up such queries is to reduce the volume of data transferred over the storage network to a host system. This can be achieved by filtering out extraneous data within the storage, motivating a form of near-data processing. This work presents Biscuit, a novel near-data processing framework designed for modern solid-state drives. It allows programmers to write a data-intensive application to run on the host system and the storage system in a distributed, yet seamless manner. In order to offer a high-level programming model, Biscuit builds on the concept of data flow. Data processing tasks communicate through typed and data-ordered ports. Biscuit does not distinguish tasks that run on the host system and the storage system. As the result, Biscuit has desirable traits like generality and expressiveness, while promoting code reuse and naturally exposing concurrency. We implement Biscuit on a host system that runs the Linux OS and a high-performance solid-state drive. We demonstrate the effectiveness of our approach and implementation with experimental results. When data filtering is done by hardware in the solid-state drive, the average speed-up obtained for the top five queries of TPC-H is over 15x.
high-performance computer architecture | 2016
Sungyong Seo; Young-Jin Cho; Youngkwang Yoo; Otae Bae; Jaegeun Park; Heehyun Nam; Sunmi Lee; Yongmyung Lee; Seungdo Chae; Moon-sang Kwon; Jin-hyeok Choi; Sangyeun Cho; Jaeheon Jeong; Duckhyun Chang
Storage I/O performance remains a key factor that determines the overall user experience of a computer system. This is especially true for mobile systems as users commonly browse and navigate through many high-quality pictures and video clips stored in their device. The appetite for more appealing user interface has continuously pushed the mobile storage interface speed up; emerging UFS 2.0 standard provisions a maximum bandwidth of as high as 1,200 MB/s. In this work, we propose, design, and implement a mobile storage architecture that leverages the high-speed DRAM interface for communication, thus substantially expanding the storage performance headroom. In order to effectively turn the existing DRAM interface into a storage interface, we design a new storage protocol that runs on top of the DRAM interface. Our protocol builds on a small host interface buffer structure mapped to the systems memory space. Based on this protocol, we develop and fabricate a storage controller chip that natively supports the LPDDR3 interface. We also develop a host software stack (Linux device driver and boot loader) and a host platform board. Finally we show the feasibility of our proposal by constructing a full Android system running on the developed storage device and platform. Our detailed evaluation shows that the proposed storage architecture has very low protocol handling overheads and compares favorably to a UFS 2.0 device. The proposed architecture obviates the need for implementing a separate host-side storage controller on a mobile CPU chip.
Archive | 2007
Yun-Sang Oh; Moon-sang Kwon; Kyung-im Jung; Sang-sin Jung
Archive | 2005
Moon-sang Kwon; Yun-Sang Oh; Kyung-im Jung
Archive | 2006
Yun-Sang Oh; Sang-Sin Doosan We've Centium Officetel Jung; Moon-sang Kwon; Kyung-im Parktown Lotte Apt. Jung
Archive | 2006
Moon-sang Kwon
Archive | 2006
Hyun-Joo Ahn; Moon-sang Kwon
Archive | 2007
Dong-young Seo; Moon-sang Kwon; Hee-sub Shin
Archive | 2007
Ji-hyun In; Moon-sang Kwon; Song-ho Yoon
Archive | 2005
Sang-sin Jung; Yun-Sang Oh; Moon-sang Kwon; Kyung-im Jung