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Computational Storage: Where Are We Today?

Cited 0 time in Web of Science Cited 14 time in Scopus
Authors

Barbalace, Antonio; Do, Jae Young

Issue Date
2021-01
Publisher
Conference on Innovative Data Systems Research (CIDR)
Citation
11th Annual Conference on Innovative Data Systems Research, CIDR 2021, p. 193013
Abstract
Computational Storage Devices (CSDs), which are storage devices including general-purpose, special-purpose, and/or reconfigurable processing units, are now becoming commercially available from different vendors. CSDs are capable of running software that usually runs on the host CPU - but on the storage device, where the data reside. Thus, a server with one or more CSDs may improve the overall performance and energy consumption of software dealing with a large amount of data. With the aim of fostering CSD's research and adoption, this position paper argues that commercially available CSDs are still missing a wealth of functionalities that should be carefully considered for their widespread deployment in production data centers. De facto, existing CSDs ignore (heterogeneous) resource management issues, do not fully consider security nor multi-user, nor data consistency, nor usability. Herein, we discuss some of the open research questions, and to what degree several well-known programming models may help solving them - considering also the design of the hardware and software interfaces.
URI
https://hdl.handle.net/10371/201368
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  • College of Engineering
  • Department of Electrical and Computer Engineering
Research Area AI 애플리케이션을 위한 알고리즘-시스템 공동 설계, AI-powered Big Data Management, Generative AI, Large Language Model, ML, 고성능 대규모 AI 데이터 분석 및 처리, 모달 AI

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