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Performance Evaluation of In-storage Processing Architectures for Diverse Applications and Benchmarks

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서명/저자사항Performance Evaluation of In-storage Processing Architectures for Diverse Applications and Benchmarks.
개인저자Minglani, Manas.
단체저자명University of Minnesota. Electrical/Computer Engineering.
발행사항[S.l.]: University of Minnesota., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항115 p.
기본자료 저록Dissertation Abstracts International 80-01B(E).
Dissertation Abstract International
ISBN9780438351363
학위논문주기Thesis (Ph.D.)--University of Minnesota, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: David J. Lilja.
요약As we inch towards the future, the storage needs of the world are going to be massive and diversied. To tackle the needs of the next generation, the storage systems are required to be studied and require innovative solutions. These solutions nee
요약To keep the energy signature under control we devised a new architecture called Storage Processing Unit (SPU). For the modeling of this architecture we incorporate a processing element inside the storage medium to limit the data movement between
요약Moreover, to understand the diverse nature of the applications and newer technologies, we tried the concept of in-storage processing for unstructured data. This type of data is demonstrating huge amount of growth and would continue to do so. Sea
요약Finally, large number of these devices are needed for huge amounts of data. To demonstrate that Kinetic Drives reduce the management complexity for large-scale deployment, we conducted a study. We allocated large amounts of data on Kinetic Drive
요약In conclusion, in-storage processing architectures bring an interesting aspect where processing is moved closer to the data. This leads to a paradigm shift which often results in a major software and hardware architectural changes. Furthermore,
일반주제명Computer science.
Computer engineering.
언어영어
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