OC-DLRM: Minimizing the I/O Traffic of DLRM Between Main Memory and OCSSD

Shang Hung Ti, Tseng Yi Chen, Tsung Tai Yeh, Shuo Han Chen, Yu Pei Liang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Due to the exponential growth of data in computing, DRAM-based main memory is now insufficient for data-intensive applications like machine learning and recommendation systems. This has led to a performance issue involving data transfer between main memory and storage devices. Conventional NAND-based SSDs are unable to efficiently handle this problem as they can't distinguish between data types from the host system. In contrast, open-channel SSDs (OCSSD) offer a solution by optimizing data placement from the host-side system. This research focuses on developing a new data access model for deep learning recommendation systems (DLRM) using OCSSD storage drives, called OC-DLRM. OC-DLRM reduces I/O traffic to flash memory by aggregating frequently-accessed data using the I/O unit of a flash memory drive. Our experiments show that OC-DLRM has significant performance improvement compared with traditional swapping space management techniques.

原文???core.languages.en_GB???
主出版物標題2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350348590
出版狀態已出版 - 2024
事件2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 - Valencia, Spain
持續時間: 25 3月 202427 3月 2024

出版系列

名字Proceedings -Design, Automation and Test in Europe, DATE
ISSN(列印)1530-1591

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???event.eventtypes.event.conference???2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024
國家/地區Spain
城市Valencia
期間25/03/2427/03/24

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