Simplicity done right for SIMDified query processing on CPU and FPGA
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
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
| Originalsprache | Englisch |
|---|---|
| Titel | 1st Workshop on Simplicity in Management of Data, SiMoD 2023 |
| Herausgeber (Verlag) | Association for Computing Machinery |
| ISBN (elektronisch) | 979-8-4007-0783-4 |
| Publikationsstatus | Veröffentlicht - 17 Juli 2023 |
| Peer-Review-Status | Ja |
Workshop
| Titel | 1st Workshop on Simplicity in Management of Data |
|---|---|
| Kurztitel | SiMoD 2023 |
| Veranstaltungsnummer | 1 |
| Beschreibung | Co-located with 2023 ACM SIGMOD/PODS Conference |
| Dauer | 23 Juni 2023 |
| Webseite | |
| Ort | Hyatt Regency Bellevue Hotel |
| Stadt | Seattle |
| Land | USA/Vereinigte Staaten |
Externe IDs
| ORCID | /0000-0001-8107-2775/work/194824069 |
|---|
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- acceleration, FPGA, query processing, SIMD