Simplicity done right for SIMDified query processing on CPU and FPGA

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

We present a simple but effective solution idea to port SIMDified query processing code to Intel® FPGA cards for acceleration. The main advantage of our approach is the seamless integration with existing SIMD abstraction libraries originally developed to overcome SIMD heterogeneity on x86-processors. Moreover, our approach has the practical benefit to be straightforwardly implemented in C++ without the necessity of complex FPGA-specific programming. Our initial results are very promising, demonstrating a novel approach to comprehensively integrate Intel® FPGAs into the prevailing SIMDified processing on the CPU with reasonable effort.

Details

OriginalspracheEnglisch
Titel1st Workshop on Simplicity in Management of Data, SiMoD 2023
Herausgeber (Verlag)Association for Computing Machinery
ISBN (elektronisch)979-8-4007-0783-4
PublikationsstatusVeröffentlicht - 17 Juli 2023
Peer-Review-StatusJa

Workshop

Titel1st Workshop on Simplicity in Management of Data
KurztitelSiMoD 2023
Veranstaltungsnummer1
BeschreibungCo-located with 2023 ACM SIGMOD/PODS Conference
Dauer23 Juni 2023
Webseite
OrtHyatt Regency Bellevue Hotel
StadtSeattle
LandUSA/Vereinigte Staaten

Externe IDs

ORCID /0000-0001-8107-2775/work/194824069

Schlagworte

Schlagwörter

  • acceleration, FPGA, query processing, SIMD