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Title: SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning
Authors: Bae, J.
Participants: Jang, H.
Gong, J.
Jin, W.
Kim, S.
Jang, J.
Ham, T. J.
Jeong, J.
Lee, J. W.
Issue Date: 2019
Publisher: IEEE Explore
Series/Report no.: IEEE Micro, (2019), Vol 39, Issue 5, pp 73-81
Abstract: Abstract—This article presents SSDStreamer, an SSD-based caching system for largescale machine learning. By using DRAM as stream buffer, instead of an upper-level cache, SSDStreamer significantly outperforms state-of-the-art multilevel caching systems on Apache Spark, while requiring much less DRAM capacity.
URI: http://tailieuso.tlu.edu.vn/handle/DHTL/9967
Source: http://doi.org/10.1109/MM.2019.2930497
Appears in Collections:Tài liệu hỗ trợ nghiên cứu khoa học
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