Understanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD

The emerging computational storage drives (CSDs) provide new opportunities by moving data computation closer to the storage. Performing computation within storage drives enables data pre/post-processing without expensive data transfers. Moreover, large amounts of data can be processed in parallel th...

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Autores principales:	Hwajung Kim, Heon Y. Yeom, Hanul Sung
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	computational storage drives parallelization offloading Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/0775209fe0b148cfa40ef7ae9eca2bd7
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id	oai:doaj.org-article:0775209fe0b148cfa40ef7ae9eca2bd7
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spelling	oai:doaj.org-article:0775209fe0b148cfa40ef7ae9eca2bd72021-11-11T15:38:17ZUnderstanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD10.3390/electronics102126172079-9292https://doaj.org/article/0775209fe0b148cfa40ef7ae9eca2bd72021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2617https://doaj.org/toc/2079-9292The emerging computational storage drives (CSDs) provide new opportunities by moving data computation closer to the storage. Performing computation within storage drives enables data pre/post-processing without expensive data transfers. Moreover, large amounts of data can be processed in parallel thanks to the nature of the field-programmable gate array (FPGA) included in CSDs. In a CSD, there are several implementation techniques that support parallel processing, each of which provides a different degree of parallelism. However, without sufficient understanding of the parallel processing techniques of CSD, it can lead to overhead due to misuse rather than benefiting from task offloading. Thus, to exploit the best performance of CSDs, it is important to properly adjust the degree of parallelism of each implementation technique. In this paper, we focus on the study of the differences in CSD performance according to various combinations of parallel processing techniques. To investigate the performance differences, we implement and offload the data verification algorithm to the CSD and analyze the performance and resource utilization. The experimental results show that implementing the data verification algorithm with a sufficient understanding of CSD’s parallel processing techniques can improve the performance by up to 20 times. Moreover, even with the same degree of parallelism, the performance can differ by 59% depending on the combination of implementation techniques. These results imply that proper orchestration of different implementation techniques leads to better performance and efficient resource utilization.Hwajung KimHeon Y. YeomHanul SungMDPI AGarticlecomputational storage drivesparallelizationoffloadingElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2617, p 2617 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	computational storage drives parallelization offloading Electronics TK7800-8360
spellingShingle	computational storage drives parallelization offloading Electronics TK7800-8360 Hwajung Kim Heon Y. Yeom Hanul Sung Understanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD
description	The emerging computational storage drives (CSDs) provide new opportunities by moving data computation closer to the storage. Performing computation within storage drives enables data pre/post-processing without expensive data transfers. Moreover, large amounts of data can be processed in parallel thanks to the nature of the field-programmable gate array (FPGA) included in CSDs. In a CSD, there are several implementation techniques that support parallel processing, each of which provides a different degree of parallelism. However, without sufficient understanding of the parallel processing techniques of CSD, it can lead to overhead due to misuse rather than benefiting from task offloading. Thus, to exploit the best performance of CSDs, it is important to properly adjust the degree of parallelism of each implementation technique. In this paper, we focus on the study of the differences in CSD performance according to various combinations of parallel processing techniques. To investigate the performance differences, we implement and offload the data verification algorithm to the CSD and analyze the performance and resource utilization. The experimental results show that implementing the data verification algorithm with a sufficient understanding of CSD’s parallel processing techniques can improve the performance by up to 20 times. Moreover, even with the same degree of parallelism, the performance can differ by 59% depending on the combination of implementation techniques. These results imply that proper orchestration of different implementation techniques leads to better performance and efficient resource utilization.
format	article
author	Hwajung Kim Heon Y. Yeom Hanul Sung
author_facet	Hwajung Kim Heon Y. Yeom Hanul Sung
author_sort	Hwajung Kim
title	Understanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD
title_short	Understanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD
title_full	Understanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD
title_fullStr	Understanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD
title_full_unstemmed	Understanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD
title_sort	understanding the performance characteristics of computational storage drives: a case study with smartssd
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0775209fe0b148cfa40ef7ae9eca2bd7
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Understanding the Performance Characteristics of Computational Storage Drives: A Case Study with SmartSSD

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