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Invited - Heterogeneous datacenters: options and opportunities

Published: 05 June 2016 Publication History

Abstract

In this paper we present our ongoing study and deployment efforts for enabling FPGAs in datacenters. An important focus is to provide a quantitative evaluation of a wide range of heterogeneous system designs and integration options, from low-power field-programmable SoCs to server-class computer nodes plus high-capacity FPGAs, with real system prototyping and implementation on real-life applications. In the meantime, we develop a cloud-friendly programming interface and a runtime environment for efficient accelerator deployment, scheduling and transparent resource management for integration of FPGAs for large-scale acceleration across different system integration platforms to enable "write once, execute everywhere".

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Cited By

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  • (2024)Aggregate Encryption Individual Decryption for FPGA Bitstream Protection on Cloud2024 International Symposium on Secure and Private Execution Environment Design (SEED)10.1109/SEED61283.2024.00025(155-166)Online publication date: 16-May-2024
  • (2022)Highly Parallel Multi-FPGA System Compilation from Sequential C/C++ Code in the AWS CloudACM Transactions on Reconfigurable Technology and Systems10.1145/350769815:4(1-42)Online publication date: 8-Aug-2022
  • (2022)DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)10.1109/ASP-DAC52403.2022.9712562(300-306)Online publication date: 17-Jan-2022
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cover image ACM Other conferences
DAC '16: Proceedings of the 53rd Annual Design Automation Conference
June 2016
1048 pages
ISBN:9781450342360
DOI:10.1145/2897937
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 the author(s) 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: 05 June 2016

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  • NSF, Intel, CFAR

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DAC '16

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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Cited By

View all
  • (2024)Aggregate Encryption Individual Decryption for FPGA Bitstream Protection on Cloud2024 International Symposium on Secure and Private Execution Environment Design (SEED)10.1109/SEED61283.2024.00025(155-166)Online publication date: 16-May-2024
  • (2022)Highly Parallel Multi-FPGA System Compilation from Sequential C/C++ Code in the AWS CloudACM Transactions on Reconfigurable Technology and Systems10.1145/350769815:4(1-42)Online publication date: 8-Aug-2022
  • (2022)DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)10.1109/ASP-DAC52403.2022.9712562(300-306)Online publication date: 17-Jan-2022
  • (2021)MOCHAThe 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays10.1145/3431920.3439304(273-279)Online publication date: 17-Feb-2021
  • (2020)HeteroYARN: A Heterogeneous FPGA-Accelerated Architecture Based on YARNIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2019.290520131:12(2968-2980)Online publication date: 1-Dec-2020
  • (2020)A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and ApplicationsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2020.2975652(1-1)Online publication date: 2020
  • (2019)Customizable Computing—From Single Chip to DatacentersProceedings of the IEEE10.1109/JPROC.2018.2876372107:1(185-203)Online publication date: Jan-2019
  • (2019)The survey on ARM processors for HPCThe Journal of Supercomputing10.1007/s11227-019-02911-9Online publication date: 8-Jun-2019
  • (2019)In-memory database acceleration on FPGAs: a surveyThe VLDB Journal10.1007/s00778-019-00581-wOnline publication date: 26-Oct-2019
  • (2018)The VINEYARD integrated framework for hardware accelerators in the cloudProceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation10.1145/3229631.3236093(236-243)Online publication date: 15-Jul-2018
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