Evolving Hardware by Direct Bitstream Manipulation of a Modern FPGA

Fritzsch, Clemens; Hoffmann, Jörn; Bogdan, Martin

doi:10.1109/cec55065.2022.9870297

2022 IEEE Congress on Evolutionary Computation (CEC) 2022

DOI: 10.1109/cec55065.2022.9870297

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Evolving Hardware by Direct Bitstream Manipulation of a Modern FPGA

Clemens Fritzsch

Jörn Hoffmann

Martin Bogdan

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2024

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Cited by 1 publication

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Scalable and Accelerated Self-healing Control Circuit Using Evolvable Hardware

S.,

Mahammad SK

2024

ACM Trans. Des. Autom. Electron. Syst.

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Controllers are mission-critical components of any electronic design. By sending control signals, it decides which and when other data path elements must operate. Faults, especially Single Event Upset (SEU) occurrence in these components, can lead to functional/mission failure of the system when deployed in harsh environments. Hence, a competence to self-heal from SEU is highly required in the control path of the digital system. Reconfiguration is critical for recovering from a faulty state to a non-faulty state. Compared to native reconfiguration, the Virtual Reconfigurable Circuit (VRC) is an FPGA-generic reconfiguration mechanism. The non-partial reconfiguration in VRC and extensive architecture are considered hindrances in extending the VRC-based Evolvable Hardware (EHW) to real-time fault mitigation. To confront this challenge, we have proposed an intrinsic constrained evolution to improve the scalability and accelerate the evolution process for VRC-based fault mitigation in mission-critical applications. Experimentation is conducted on complex ACM/SIGDA benchmark circuits and real-time circuits used in space missions, which are not included in related works. In addition, a comparative study is made between existing and proposed methodologies for brushless DC motor control circuits. The hardware utilization in the multiplexer has been significantly reduced, resulting in up to 77% reduction in the existing VRC architecture. The proposed methodology employs a fault localization approach to narrow the search space effectively. This approach has yielded an 87% improvement on average in convergence speed, as measured by the evolution time compared to the existing work.

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Scalable and Accelerated Self-healing Control Circuit Using Evolvable Hardware

S.,

Mahammad SK

2024

ACM Trans. Des. Autom. Electron. Syst.

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show abstract

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Evolving Hardware by Direct Bitstream Manipulation of a Modern FPGA

Cited by 1 publication

References 14 publications

Scalable and Accelerated Self-healing Control Circuit Using Evolvable Hardware

Scalable and Accelerated Self-healing Control Circuit Using Evolvable Hardware

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