Evaluation of FPGA Hardware as a New Approach for Accelerating the Numerical Solution of CFD Problems

Ebrahimi, Abbas; Zandsalimy, Mohammad

doi:10.1109/access.2017.2705434

Cited by 22 publications

(9 citation statements)

References 34 publications

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“…FPGAs consist of a matrix of logic blocks (LB) and an interconnection network. The functionality of LBs and the configuration of the interconnection network can be modified through the download in the FPGA of a set of bits, which defines the hardware configuration [ 3 ]. The LBs are typically organized in a regular matrix, which is surrounded by the interconnection network.…”

Section: Reconfigurable Electronics Platformsmentioning

confidence: 99%

Reconfigurable Electronic Platforms: A Top-Down Approach to Learn about Design and Integration of Electronic Systems

et al. 2022

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This case report presents a real example of a study which introduces the use of reconfigurable platforms in the teaching of electronics engineering to establish a bridge between theory and practice. This gap is one of the major concerns of the electronics engineering students. Different strategies, such as simulation tools or breadboard implementations, have been followed so far to make it easier for students to practice what they study in lectures. However, many students still claim to have problems when they face real practical implementations. The use of reconfigurable platforms as a teaching tool is proposed to provide the students the possibility of fast experimentation, reducing both development time and the learning curve. In addition, reconfigurable platforms available on the market make this methodology suitable to be applied throughout the different courses of their curricula. The feasibility of this approach is demonstrated in a course at the M.Eng. level, where the objective is the study, design and development of electronic sensor nodes. We firmly consider, based on the students’ results and reflections collected during the course, that this methodology helps students to address the theoretical framework from a practical viewpoint, as well as to acquire some of the fundamental skills for their professional careers, such as the usage of communication protocols and embedded systems programming, in a more intuitive way when compared to traditional teaching methodologies.

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Section: Reconfigurable Electronics Platformsmentioning

confidence: 99%

Reconfigurable Electronic Platforms: A Top-Down Approach to Learn about Design and Integration of Electronic Systems

et al. 2022

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“…Many researchers are still working on speeding up CFD techniques for detailed mechanisms. Despite the development of new combustion models or mechanism reduction, some possible approaches may be the utilization of the field programmable gate array (FPGA), the graphics processing unit (GPU)-accelerated chemistry solver, − and the application of machine learning. − It should be noted that the GPU-based solver and machine learning are both software-based approaches, while the FPGA approach adjusts the hardware to solve a specific CFD problem instead of software optimization. For instance, in Ebrahimi and Zandsalimy’s work, the authors found that the FPGA improved the solution speed up to 20 times faster in the case of the Laplace equation (compared to the conventional CPU).…”

Section: Coupling Kinetic Model With Cfdmentioning

confidence: 99%

“…Many researchers are still working on speeding up CFD techniques for detailed mechanisms. Despite the development of new combustion models or mechanism reduction, some possible approaches may be the utilization of the field programmable gate array (FPGA), 162 the graphics processing unit (GPU)-accelerated chemistry solver, 163−165 and the application of machine learning. 166−168 It should be noted that the GPU-based solver and machine learning are both software-based approaches, while the FPGA approach adjusts the hardware to solve a specific CFD problem instead of software optimization.…”

Section: Detailed Chemical Kinetic Modeling Of Secondary Gas-phase Re...mentioning

confidence: 99%

A Review on Detailed Kinetic Modeling and Computational Fluid Dynamics of Thermochemical Processes of Solid Fuels

et al. 2021

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This review presents the recent advances in computational approaches to understand thermochemical reactions of solid fuels with minimized empirical factors. It includes studies on kinetic modeling of gas-phase reactions of multicomponent molecular mixtures of volatiles derived from primary pyrolysis of solid fuels using a database for elementary reactions. Mechanistic studies to model the devolatilization of biomass and coal upon heating are also mentioned. The efforts to integrate the kinetic model with computational fluid dynamics to understand the flow and heat transfer behavior of industrial reactors for solid fuel conversions, including gasification and combustion, are reviewed. These advances are primarily based on the conventional forward analysis that provides a deeper understanding of chemically reacting flows of fuels undergoing thermochemical reactions. For the further development of the thermochemical conversion technology, it can be expected to develop alternative approaches such as inverse analysis to determine the optimal reactor design and operating conditions.

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“…Also, due to its parallel processing capabilities, FPGAs can shorten the computational time of a given application (FPGAs can be several times faster than a conventional CPU, with the same data precision [3] -although comparisons must not generalize performance without consideration of the technical specifications [4]), resulting in lower control delay and better dynamic performance [5]. Due to this characteristic, FPGAs have been employed to perform cosimulation in Real-Time Simulators.…”

Section: Introductionmentioning

confidence: 99%

FPGA Prototyping Using the STEMlab Board With Application on Frequency Response Analysis of Electric Machinery

et al. 2021

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This paper presents a complete procedure on prototyping using the FPGA of the STEMlab board and is intended to serve as a guide for developers, students and researchers interested in speeding up their projects and experiments. Due to the reconfigurability of its internal circuitry, being as simple as a code modification (using hardware description language), FPGA technology allows testing of several controller topologies and/or parameters without the need of any physical change at hardware. This feature allows a much faster development cycle of either commercial products or academic experiments. Besides the reconfigurability of the FPGA, the STEMlab board also offers the advantage of several peripheral already available, which includes, among others, high speed analog-to-digital and digital-to-analog converters, Ethernet communication and a dual-core ARM processor capable of running a Linux operating system. In this paper, a didactic method of use of this board is presented, from getting started to a complete academic and industrial application: detection of early damage on an induction motor using frequency response analysis. INDEX TERMS Electronic engineering education, Field programmable gate arrays, System-on-a-Chip.

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Evaluation of FPGA Hardware as a New Approach for Accelerating the Numerical Solution of CFD Problems

Cited by 22 publications

References 34 publications

Reconfigurable Electronic Platforms: A Top-Down Approach to Learn about Design and Integration of Electronic Systems

Reconfigurable Electronic Platforms: A Top-Down Approach to Learn about Design and Integration of Electronic Systems

A Review on Detailed Kinetic Modeling and Computational Fluid Dynamics of Thermochemical Processes of Solid Fuels

FPGA Prototyping Using the STEMlab Board With Application on Frequency Response Analysis of Electric Machinery

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