Run-Time Reconfiguration for Automatic Hardware/Software Partitioning

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Názov: Run-Time Reconfiguration for Automatic Hardware/Software Partitioning
Autori: Davidson, Tom, Bruneel, Karel, Stroobandt, Dirk
Prispievatelia: Prasanna, V, Becker, J, Cumplido, R
Zdroj: Proceedings 2010 International Conference on Reconfigurable Computing and FPGAs (ReConFig 2010)
Informácie o vydavateľovi: IEEE, 2010.
Rok vydania: 2010
Predmety: Technology and Engineering, AES, run-time reconfiguration, dynamic reconfiguration, hardware/software partitioning, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, FPGA
Popis: Parameterisable configurations allow very fast run-time reconfiguration in FPGAs. The main advantage of this new concept is the automated tool flow that converts a hardware design into a more resource-efficient run-time reconfigurable design without a large design effort. In this paper, we show that the automated tool flow for run-time reconfiguration can be used to easily optimize a full hardware implementation for area by converting it automatically to a hardware/software implementation. This tool flow can partition the design in a very short time and, at the same time, result in significant area gains. The usage of run time reconfiguration allows us to extend the hardware/software boundary so more functionality can be moved to software. We will explain the core principles behind the run-time reconfiguration technique using the AES encoder as an example. For the AES encoder the manual hardware/software partitioning is clear. This manual partitioning will serve as a comparison to the automated partitioning that uses parameterisable configurations. Several possible AES encoder implementations are compared. Our automatically partitioned AES design shows a 20.6 % area gain compared to an unoptimized hardware implementation and a 5.3 % gain compared to a manually optimized 3rd party hardware implementation. In addition, we discuss the results of our technique on other applications, where the hardware/software partitioning is less clear. Among these, a TripleDES implementation shows a 29.3 % area gain using our technique. Based on our AES encoder results, we derive some guidelines for optimizing the impact of parameterisable configurations in general designs.
Druh dokumentu: Article
Conference object
Popis súboru: application/pdf
DOI: 10.1109/reconfig.2010.57
Prístupová URL adresa: https://biblio.ugent.be/publication/1105031/file/1148368.pdf
https://dblp.uni-trier.de/db/conf/reconfig/reconfig2010.html#DavidsonBS10
https://biblio.ugent.be/publication/1105031
https://biblio.ugent.be/publication/1105031/file/1148368.pdf
https://www.computer.org/csdl/proceedings/reconfig/2010/4314/00/4314a424.pdf
http://ieeexplore.ieee.org/document/5695343/
http://doi.org/10.1109/ReConFig.2010.57
http://hdl.handle.net/1854/LU-1105031
https://biblio.ugent.be/publication/1105031/file/1148368
https://biblio.ugent.be/publication/1105031
Prístupové číslo: edsair.doi.dedup.....f1c09b4aa20b49e53d7f0f6f2b7f01c0
Databáza: OpenAIRE
Popis
Abstrakt:Parameterisable configurations allow very fast run-time reconfiguration in FPGAs. The main advantage of this new concept is the automated tool flow that converts a hardware design into a more resource-efficient run-time reconfigurable design without a large design effort. In this paper, we show that the automated tool flow for run-time reconfiguration can be used to easily optimize a full hardware implementation for area by converting it automatically to a hardware/software implementation. This tool flow can partition the design in a very short time and, at the same time, result in significant area gains. The usage of run time reconfiguration allows us to extend the hardware/software boundary so more functionality can be moved to software. We will explain the core principles behind the run-time reconfiguration technique using the AES encoder as an example. For the AES encoder the manual hardware/software partitioning is clear. This manual partitioning will serve as a comparison to the automated partitioning that uses parameterisable configurations. Several possible AES encoder implementations are compared. Our automatically partitioned AES design shows a 20.6 % area gain compared to an unoptimized hardware implementation and a 5.3 % gain compared to a manually optimized 3rd party hardware implementation. In addition, we discuss the results of our technique on other applications, where the hardware/software partitioning is less clear. Among these, a TripleDES implementation shows a 29.3 % area gain using our technique. Based on our AES encoder results, we derive some guidelines for optimizing the impact of parameterisable configurations in general designs.
DOI:10.1109/reconfig.2010.57