Resource Elastic Database Acceleration

Kristiyan Manev; Dirk Koch

Resource Elastic Database Acceleration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

Database sizes are growing faster than the processing power in the post-Moore era due to the advent of big data applications, which make hardware acceleration mandatory.
We propose dynamic stream processing using partial reconfiguration to provide a high-performance solution to runtime-known problems.
This work researches the benefits of applying resource elastic techniques when building the execution pipeline.

Original language	English
Title of host publication	30th International Conference on Field Programmable Logic and Application (FPL)
Place of Publication	Gothenburg, Sweden
Publication status	Published - 4 Sep 2020

Keywords

FPGA
Database Acceleration

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PhD_Forum_FPL2020Accepted author manuscript, 155 KB

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title = "Resource Elastic Database Acceleration",

abstract = "Database sizes are growing faster than the processing power in the post-Moore era due to the advent of big data applications, which make hardware acceleration mandatory.We propose dynamic stream processing using partial reconfiguration to provide a high-performance solution to runtime-known problems.This work researches the benefits of applying resource elastic techniques when building the execution pipeline.",

keywords = "FPGA, Database Acceleration",

author = "Kristiyan Manev and Dirk Koch",

year = "2020",

month = sep,

day = "4",

language = "English",

booktitle = "30th International Conference on Field Programmable Logic and Application (FPL)",

}

TY - GEN

T1 - Resource Elastic Database Acceleration

AU - Manev, Kristiyan

AU - Koch, Dirk

PY - 2020/9/4

Y1 - 2020/9/4

N2 - Database sizes are growing faster than the processing power in the post-Moore era due to the advent of big data applications, which make hardware acceleration mandatory.We propose dynamic stream processing using partial reconfiguration to provide a high-performance solution to runtime-known problems.This work researches the benefits of applying resource elastic techniques when building the execution pipeline.

AB - Database sizes are growing faster than the processing power in the post-Moore era due to the advent of big data applications, which make hardware acceleration mandatory.We propose dynamic stream processing using partial reconfiguration to provide a high-performance solution to runtime-known problems.This work researches the benefits of applying resource elastic techniques when building the execution pipeline.

KW - FPGA

KW - Database Acceleration

M3 - Conference contribution

BT - 30th International Conference on Field Programmable Logic and Application (FPL)

CY - Gothenburg, Sweden

ER -

Resource Elastic Database Acceleration

Abstract

Keywords

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