Wolf, Dennis ; Engel, Andreas ; Ruschke, Tajas ; Koch, Andreas ; Hochberger, Christian (2024)
UltraSynth: Insights of a CGRA Integration into a Control Engineering Environment.
In: Journal of Signal Processing Systems, 2021, 93 (5)
doi: 10.26083/tuprints-00023534
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | UltraSynth: Insights of a CGRA Integration into a Control Engineering Environment |
| Language: | English |
| Date: | 10 December 2024 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | May 2021 |
| Place of primary publication: | Norwell, Mass. |
| Publisher: | Springer |
| Journal or Publication Title: | Journal of Signal Processing Systems |
| Volume of the journal: | 93 |
| Issue Number: | 5 |
| DOI: | 10.26083/tuprints-00023534 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| Abstract: | Coarse Grained Reconfigurable Arrays (CGRAs) or Architectures are a concept for hardware accelerators based on the idea of distributing workload over Processing Elements. These processors exploit instruction level parallelism, while being energy efficient due to their simplistic internal structure. However, the incorporation into a complete computing system raises severe challenges at the hardware and software level. This article evaluates a CGRA integrated into a control engineering environment targeting a Xilinx Zynq System on Chip (SoC) in detail. Besides the actual application execution performance, the practicability of the configuration toolchain is validated. Challenges of the real-world integration are discussed and practical insights are highlighted. |
| Uncontrolled Keywords: | Reconfigurable accelerator, Coarse grained reconfigurable architecture, Control engineering, System integration, Scalability |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-235343 |
| Additional Information: | Part of a collection: Computer Science SDG 7: Affordable and Clean Energy |
| Classification DDC: | 000 Generalities, computers, information > 004 Computer science 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Computer Systems Group 20 Department of Computer Science > Embedded Systems and Applications |
| Date Deposited: | 10 Dec 2024 12:57 |
| Last Modified: | 10 Dec 2024 12:58 |
| SWORD Depositor: | Deep Green |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23534 |
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