Program your (custom) SIMD instruction set on FPGA in C++
Summary: Treat FPGAs as customizable SIMD processors by defining a custom SIMD instruction set implemented in C++ instead of HDL. Enables unified development of SIMDified query processing and corresponding FPGA hardware in one high-level language, simplifying FPGA-based data pipelines. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Johannes Pietrzyk (Technical University of Dresden)
- 2. Alexander Krause (Technical University of Dresden)
- 3. Christian Färber (Intel)
- 4. Dirk Habich (Technical University of Dresden)
- 5. Wolfgang Lehner (Technical University of Dresden)
BibTeX Citation
@inproceedings{pietrzyk_cidr24,
address = {Amsterdam, Netherlands},
series = {{CIDR} '24},
title = {{Program your (custom) SIMD instruction set on FPGA in C++}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Pietrzyk, Johannes and Krause, Alexander and Färber, Christian and Habich, Dirk and Lehner, Wolfgang},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,277 | Rethinking MIMD-SIMD Interplay for Analytical Query Processing in In-Memory Database Engines | 2025 | CIDR | 5.9288764e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 60 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.0003955489 |
| 634 | Rethinking SIMD Vectorization for In-Memory Databases | 2015 | SIGMOD | 0.00015533814 |
| 3,592 | The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code | 2023 | VLDB | 7.2774889e-05 |
| 6,665 | MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model | 2020 | VLDB | 5.8089595e-05 |
| 7,666 | Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores | 2020 | CIDR | 5.57179e-05 |
| 9,082 | An Application-Specific Instruction Set for Accelerating Set-Oriented Database Primitives | 2014 | SIGMOD | 5.3251649e-05 |
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