Simplicity done right for SIMDified query processing on CPU and FPGA
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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
| Original language | English |
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| Title of host publication | 1st Workshop on Simplicity in Management of Data, SiMoD 2023 |
| Publisher | Association for Computing Machinery |
| ISBN (electronic) | 979-8-4007-0783-4 |
| Publication status | Published - 17 Jul 2023 |
| Peer-reviewed | Yes |
Workshop
| Title | 1st Workshop on Simplicity in Management of Data |
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| Abbreviated title | SiMoD 2023 |
| Conference number | 1 |
| Description | Co-located with 2023 ACM SIGMOD/PODS Conference |
| Duration | 23 June 2023 |
| Website | |
| Location | Hyatt Regency Bellevue Hotel |
| City | Seattle |
| Country | United States of America |
External IDs
| ORCID | /0000-0001-8107-2775/work/194824069 |
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Keywords
ASJC Scopus subject areas
Keywords
- acceleration, FPGA, query processing, SIMD