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A case for intelligent disks (IDISKs)

Authors:

Kimberly Keeton,

David A. Patterson,

Joseph M. HellersteinAuthors Info & Claims

ACM SIGMOD Record, Volume 27, Issue 3

Pages 42 - 52

https://doi.org/10.1145/290593.290602

Published: 01 September 1998 Publication History

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Abstract

Decision support systems (DSS) and data warehousing workloads comprise an increasing fraction of the database market today. I/O capacity and associated processing requirements for DSS workloads are increasing at a rapid rate, doubling roughly every nine to twelve months [38]. In response to this increasing storage and computational demand, we present a computer architecture for decision support database servers that utilizes “intelligent” disks (IDISKs). IDISKs utilize low-cost embedded general-purpose processing, main memory, and high-speed serial communication links on each disk. IDISKs are connected to each other via these serial links and high-speed crossbar switches, overcoming the I/O bus bottleneck of conventional systems. By off-loading computation from expensive desktop processors, IDISK systems may improve cost-performance. More importantly, the IDISK architecture allows the processing of the system to scale with increasing storage demand.

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Song YChen PLu YAbrar NKalavri V(2024)In situ neighborhood sampling for large-scale GNN trainingProceedings of the 20th International Workshop on Data Management on New Hardware10.1145/3662010.3663443(1-5)Online publication date: 10-Jun-2024
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Sun HLou BZhao CKong DZhang CHuang JYue YQin X(2024)Asynchronous Compaction Acceleration Scheme for Near-data Processing-enabled LSM-tree-based KV StoresACM Transactions on Embedded Computing Systems10.1145/362609723:6(1-33)Online publication date: 11-Sep-2024
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Ghiasi NSadrosadati MMustafa HGollwitzer AFirtina CEudine JMao HLindegger JCavlak MAlser MPark JMutlu O(2024)MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)10.1109/ISCA59077.2024.00054(660-677)Online publication date: 29-Jun-2024
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A case for intelligent disks (IDISKs)

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Information

Published In

ACM SIGMOD Record Volume 27, Issue 3

Sept. 1, 1998

76 pages

ISSN:0163-5808

DOI:10.1145/290593

Editor:
Michael Franklin
Univ. of Maryland, College Park

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Association for Computing Machinery

New York, NY, United States

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Published: 01 September 1998

Published in SIGMOD Volume 27, Issue 3

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Song YChen PLu YAbrar NKalavri V(2024)In situ neighborhood sampling for large-scale GNN trainingProceedings of the 20th International Workshop on Data Management on New Hardware10.1145/3662010.3663443(1-5)Online publication date: 10-Jun-2024
https://dl.acm.org/doi/10.1145/3662010.3663443
Sun HLou BZhao CKong DZhang CHuang JYue YQin X(2024)Asynchronous Compaction Acceleration Scheme for Near-data Processing-enabled LSM-tree-based KV StoresACM Transactions on Embedded Computing Systems10.1145/362609723:6(1-33)Online publication date: 11-Sep-2024
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Ghiasi NSadrosadati MMustafa HGollwitzer AFirtina CEudine JMao HLindegger JCavlak MAlser MPark JMutlu O(2024)MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)10.1109/ISCA59077.2024.00054(660-677)Online publication date: 29-Jun-2024
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Shu JFang KChen YWang S(2023)TH-iSSD: Design and Implementation of a Generic and Reconfigurable Near-Data Processing FrameworkACM Transactions on Embedded Computing Systems10.1145/356345622:6(1-23)Online publication date: 9-Nov-2023
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Evolving Ext4 for shingled disks

Active Disks for Large-Scale Data Processing

Why specialized disks for composite operations may be unnecessary

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