Year-end Sale % OFF 
Abstract
Within the strongly regulated avionic engineering field, conventional graphical desktop hardware and software application programming interface (API) cannot be used because they do not conform to the avionic certification standards. We observe the need for better avionic graphical hardware, but system engineers lack system design tools related to graphical hardware. The endorsement of an optimal hardware architecture by estimating the performance of a graphical software, when a stable rendering engine does not yet exist, represents a major challenge. As proven by previous hardware emulation tools, there is also a potential for development cost reduction, by enabling developers to have a first estimation of the performance of its graphical engine early in the development cycle. In this paper, we propose to replace expensive development platforms by predictive software running on a desktop computer. More precisely, we present a system design tool that helps predict the rendering performance of graphical hardware based on the OpenGL Safety Critical API. First, we create nonparametric models of the underlying hardware, with machine learning, by analyzing the instantaneous frames per second (FPS) of the rendering of a synthetic 3D scene and by drawing multiple times with various characteristics that are typically found in synthetic vision applications. The number of characteristic combinations used during this supervised training phase is a subset of all possible combinations, but performance predictions can be arbitrarily extrapolated. To validate our models, we render an industrial scene with characteristic combinations not used during the training phase and we compare the predictions to those real values. We find a median prediction error of less than 4 FPS.
Highlights
In recent years, there has been an increased interest in the avionics industry to implement high-performance graphical applications like synthetic vision systems (SVSs) that display pertinent and critical features of the environment external to the aircraft [1]. is has promoted the advent of faster graphical processing hardware
Considering the need of avionic hardware with higher performance, we observe that graphical application development tools and hardware benchmarks and simulators available for conventional embedded or desktop graphical applications seem still to be missing for avionics applications
Taking the example on the classical V-Model [9], designers must make choices in regard to the purchase or the in-house development of graphical hardware. As they want to evaluate the performance of such hardware relating to the choices made, they need some kind of performance metrics and benchmarks. is benchmarking tool should be provided by the software development team but as the project is still in the design phase, they have not yet necessarily implemented a graphical engine to enable performance testing
Summary
There has been an increased interest in the avionics industry to implement high-performance graphical applications like synthetic vision systems (SVSs) that display pertinent and critical features of the environment external to the aircraft [1]. is has promoted the advent of faster graphical processing hardware. Taking the example on the classical V-Model [9], designers must make choices in regard to the purchase or the in-house development of graphical hardware As they want to evaluate the performance of such hardware relating to the choices made, they need some kind of performance metrics and benchmarks. The performance models generated can be used to develop a performance-correct hardware simulator that developers can use on their workstation, in order to have a general preview of the efficacy of their software, before executing it on the real system As this is the case with the most hardware emulation tools, this reduces the development costs by facilitating functional verification of the system [10]. As for the performance prediction tools, they tend to be made available by the graphic hardware manufacturers such as the
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
