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Control and Diagnostics System Generator for Complex FPGA-Based Measurement Systems.

Wojciech M Zabołotny1, Marek Gumiński1, Michał Kruszewski1

  • 1Faculty of Electronics and Information Technology, Institute of Electronic Systems, Warsaw University of Technology, Nowowiejska 15/19, 00-65 Warszawa, Poland.

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This study introduces an XML-based system for managing complex Field-Programmable Gate Array (FPGA) control systems. It automates hardware description language (HDL) code and software generation for high-energy physics applications.

Keywords:
FPGAVHDLWishbonecontrol interfacesystem diagnosticssystem management

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Area of Science:

  • * Instrumentation and Measurement
  • * Computer Engineering

Background:

  • * Field-Programmable Gate Array (FPGA)-based systems are crucial for high-speed, multichannel measurements in fields like High-Energy Physics.
  • * Managing complex register structures and hardware-software integration in these systems is challenging and error-prone.
  • * Existing solutions often fail to meet the specific demands of these advanced applications.

Purpose of the Study:

  • * To present a novel XML-based system description for automated control and diagnostics in FPGA systems.
  • * To facilitate the generation of Hardware Description Language (HDL) code and software components.
  • * To improve reusability, maintainability, and error detection in complex measurement systems.

Main Methods:

  • * Development of an XML schema for describing FPGA system architecture, registers, and control logic.
  • * Implementation of automated code generation tools for HDL (e.g., VHDL, Verilog) and software interfaces.
  • * Integration of the generated components into a cohesive control and diagnostics framework.

Main Results:

  • * Successful application in data acquisition and preprocessing for high-energy physics experiments.
  • * Demonstrated ease of system definition creation and modification.
  • * Enabled convenient access to control and diagnostic blocks within the FPGA system.

Conclusions:

  • * The proposed XML-based system effectively automates the generation of control and diagnostic components for complex FPGA systems.
  • * It enhances reusability, simplifies maintenance, and improves error detection, addressing limitations of previous solutions.
  • * The open-source nature of the solution allows for broad adoption and customization in scientific research and development.