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A Study of Reconfigurable Accelerators for Cloud Computing

Authors:

Noor Mohammedali,

Michael Opoku AgyemanAuthors Info & Claims

ISCSIC '18: Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control

Article No.: 17, Pages 1 - 5

https://doi.org/10.1145/3284557.3284563

Published: 21 September 2018 Publication History

Abstract

Due to the exponential increase in network traffic in the data centers, thousands of servers interconnected with high bandwidth switches are required. Field Programmable Gate Arrays (FPGAs) with Cloud ecosystem offer high performance in efficiency and energy, making them active resources, easy to program and reconfigure. This paper looks at FPGAs as reconfigurable accelerators for the cloud computing presents the main hardware accelerators that have been presented in various widely used cloud computing applications such as MapReduce, Spark, Memcached, Databases.

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Cited By

Rosero-Montalvo PIstván ZHernandez W(2023)A Survey of Trusted Computing Solutions Using FPGAsIEEE Access10.1109/ACCESS.2023.326180211(31583-31593)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3261802
Tan TOoi CMarsono M(2022)RtFog: A Real-Time FPGA-Based Fog Node With Remote Dynamically Reconfigurable Application Plane for Fog Analytics RedeploymentIEEE Transactions on Green Communications and Networking10.1109/TGCN.2021.31225456:1(341-351)Online publication date: Mar-2022
https://doi.org/10.1109/TGCN.2021.3122545
Cheshmikhani EPeccerillo BMondelli ABartolini S(2022)A General Framework for Accelerator Management Based on ISA ExtensionIEEE Access10.1109/ACCESS.2022.322234610(120702-120713)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3222346
Show More Cited By

Index Terms

A Study of Reconfigurable Accelerators for Cloud Computing
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. Hardware
  1. Integrated circuits
    1. Reconfigurable logic and FPGAs
      1. Hardware accelerators

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ISCSIC '18: Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control

September 2018

363 pages

ISBN:9781450366281

DOI:10.1145/3284557

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2018

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ISCSIC '18

ISCSIC '18: The 2nd International Symposium on Computer Science and Intelligent Control

September 21 - 23, 2018

Stockholm, Sweden

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ISCSIC '18 Paper Acceptance Rate 73 of 152 submissions, 48%;

Overall Acceptance Rate 192 of 401 submissions, 48%

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Cited By

Rosero-Montalvo PIstván ZHernandez W(2023)A Survey of Trusted Computing Solutions Using FPGAsIEEE Access10.1109/ACCESS.2023.326180211(31583-31593)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3261802
Tan TOoi CMarsono M(2022)RtFog: A Real-Time FPGA-Based Fog Node With Remote Dynamically Reconfigurable Application Plane for Fog Analytics RedeploymentIEEE Transactions on Green Communications and Networking10.1109/TGCN.2021.31225456:1(341-351)Online publication date: Mar-2022
https://doi.org/10.1109/TGCN.2021.3122545
Cheshmikhani EPeccerillo BMondelli ABartolini S(2022)A General Framework for Accelerator Management Based on ISA ExtensionIEEE Access10.1109/ACCESS.2022.322234610(120702-120713)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3222346
Moghaddamfar MFärber CLehner WMay NKumar A(2021)Resource-Efficient Database Query Processing on FPGAsProceedings of the 17th International Workshop on Data Management on New Hardware10.1145/3465998.3466006(1-8)Online publication date: 20-Jun-2021
https://dl.acm.org/doi/10.1145/3465998.3466006
Shahzad HSanaullah AHerbordt M(2021)Survey and Future Trends for FPGA Cloud Architectures2021 IEEE High Performance Extreme Computing Conference (HPEC)10.1109/HPEC49654.2021.9622807(1-10)Online publication date: 20-Sep-2021
https://doi.org/10.1109/HPEC49654.2021.9622807
Skhiri RFresse VJamont JSuffran BMalek J(2019)From FPGA to Support Cloud to Cloud of FPGAInternational Journal of Reconfigurable Computing10.1155/2019/80854612019Online publication date: 5-Dec-2019
https://dl.acm.org/doi/10.1155/2019/8085461
Agyeman MAl-Waisi ZHoxha I(2019)Design and Implementation of an IoT-Based Energy Monitoring System for Managing Smart Homes2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)10.1109/FMEC.2019.8795363(253-258)Online publication date: Jun-2019
https://doi.org/10.1109/FMEC.2019.8795363

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