License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ECRTS.2020.12
URN: urn:nbn:de:0030-drops-123753
URL: https://drops.dagstuhl.de/opus/volltexte/2020/12375/
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Restuccia, Francesco ; Pagani, Marco ; Biondi, Alessandro ; Marinoni, Mauro ; Buttazzo, Giorgio

Modeling and Analysis of Bus Contention for Hardware Accelerators in FPGA SoCs

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LIPIcs-ECRTS-2020-12.pdf (0.7 MB)


Abstract

FPGA System-on-Chips (SoCs) are heterogeneous platforms that combine general-purpose processors with a field-programmable gate array (FPGA) fabric. The FPGA fabric is composed of a programmable logic in which hardware accelerators can be deployed to accelerate the execution of specific functionality. The main source of unpredictability when bounding the execution times of hardware accelerators pertains the access to the shared memories via the on-chip bus. This work is focused on bounding the worst-case bus contention experienced by the hardware accelerators deployed in the FPGA fabric. To this end, this work considers the AMBA AXI bus, which is the de-facto standard communication interface used in most the commercial off-the-shelf (COTS) FPGA SoCs, and presents an analysis technique to bound the response times of hardware accelerators implemented on such platforms. A fine-grained modeling of the AXI bus and AXI interconnects is first provided. Then, contention delays are studied under hierarchical bus infrastructures with arbitrary depths. Experimental results are finally presented to validate the proposed model with execution traces on two modern FPGA-based SoC produced by Xilinx (Zynq-7000 and Zynq-Ultrascale+ families) and to assess the performance of the proposed analysis.

BibTeX - Entry

@InProceedings{restuccia_et_al:LIPIcs:2020:12375,
  author =	{Francesco Restuccia and Marco Pagani and Alessandro Biondi and Mauro Marinoni and Giorgio Buttazzo},
  title =	{{Modeling and Analysis of Bus Contention for Hardware Accelerators in FPGA SoCs}},
  booktitle =	{32nd Euromicro Conference on Real-Time Systems (ECRTS 2020)},
  pages =	{12:1--12:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-152-8},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{165},
  editor =	{Marcus V{\"o}lp},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/12375},
  URN =		{urn:nbn:de:0030-drops-123753},
  doi =		{10.4230/LIPIcs.ECRTS.2020.12},
  annote =	{Keywords: Heterogeneous computing, Predictable hardware acceleration, FPGA SoCs, Multi-Master architectures}
}

Keywords: Heterogeneous computing, Predictable hardware acceleration, FPGA SoCs, Multi-Master architectures
Collection: 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020)
Issue Date: 2020
Date of publication: 30.06.2020
Supplementary Material: ECRTS 2020 Artifact Evaluation approved artifact available at https://doi.org/10.4230/DARTS.6.1.4.


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