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Accelerating Complete Decision Support Queries Through High-Level Synthesis Technology (Abstract Only)

Authors:

Gorker Alp Malazgirt,

Nehir Sonmez,

Arda Yurdakul,

Osman Unsal,

Adrian CristalAuthors Info & Claims

FPGA '15: Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

Page 277

https://doi.org/10.1145/2684746.2689151

Published: 22 February 2015 Publication History

Abstract

Recently, with the rise of Internet of Things and Big Data, acceleration of database analytics in order to have faster query processing capabilities has gained significant attention. At the same time, High-Level Synthesis (HLS) technology has matured and is now a promising approach to design such hardware accelerators. In this work, we use a modern HLS, Vivado to design high-performance database accelerators for filtering, aggregation, sorting, merging and join operations. Later, we use these as building blocks to implement an acceleration system for in-memory databases on a Virtex-7 FPGA, detailed enough to run full TPC-H benchmarks completely in hardware. Presenting performance, area and memory requirements, we show up to 140x speedup compared to a software DBMS, and demonstrate that HLS technology is indeed a very appropriate match for database acceleration.

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Cited By

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Pagliari DCasu MCarloni L(2017)Accelerators for Breast Cancer DetectionACM Transactions on Embedded Computing Systems10.1145/298363016:3(1-25)Online publication date: 28-Mar-2017
https://dl.acm.org/doi/10.1145/2983630
Castellana VMinutoli MMorari ATumeo ALattuada MFerrandi FMarculescu DLiu F(2015)High Level Synthesis of RDF Queries for Graph AnalyticsProceedings of the IEEE/ACM International Conference on Computer-Aided Design10.5555/2840819.2840865(323-330)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.5555/2840819.2840865
Castellana VMinutoli MMorari ATumeo ALattuada MFerrandi F(2015)High level synthesis of RDF queries for graph analytics2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)10.1109/ICCAD.2015.7372587(323-330)Online publication date: Nov-2015
https://doi.org/10.1109/ICCAD.2015.7372587

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Accelerating Complete Decision Support Queries Through High-Level Synthesis Technology (Abstract Only)
1. Computer systems organization
  1. Architectures
    1. Other architectures

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FPGA '15: Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

February 2015

292 pages

ISBN:9781450333153

DOI:10.1145/2684746

General Chair:
George A. Constantinides
Imperial College
,
Program Chair:
Deming Chen
University of Illinois at Urbana-Champaign

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 22 February 2015

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FPGA '15: The 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

February 22 - 24, 2015

California, Monterey, USA

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Pagliari DCasu MCarloni L(2017)Accelerators for Breast Cancer DetectionACM Transactions on Embedded Computing Systems10.1145/298363016:3(1-25)Online publication date: 28-Mar-2017
https://dl.acm.org/doi/10.1145/2983630
Castellana VMinutoli MMorari ATumeo ALattuada MFerrandi FMarculescu DLiu F(2015)High Level Synthesis of RDF Queries for Graph AnalyticsProceedings of the IEEE/ACM International Conference on Computer-Aided Design10.5555/2840819.2840865(323-330)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.5555/2840819.2840865
Castellana VMinutoli MMorari ATumeo ALattuada MFerrandi F(2015)High level synthesis of RDF queries for graph analytics2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)10.1109/ICCAD.2015.7372587(323-330)Online publication date: Nov-2015
https://doi.org/10.1109/ICCAD.2015.7372587

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References

Cited By

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Recommendations

Hardware acceleration of database operations

Relational query coprocessing on graphics processors

Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs

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