Field Programmable Gate Array: An Extensive Review, Recent Trends, Challenges and Applications

Badhoutiya, Arti; Jaffer, Zainb; Hussein, Heba Mohammed; Juyal, Ashima; Mittal, Manisha; Anand, Rohit

doi:10.23919/indiacom61295.2024.10498934

2024 11th International Conference on Computing for Sustainable Global Development (INDIACom) 2024

DOI: 10.23919/indiacom61295.2024.10498934

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Field Programmable Gate Array: An Extensive Review, Recent Trends, Challenges and Applications

Arti Badhoutiya,

Zainb Jaffer,

Heba Mohammed Hussein

et al.

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2024

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Area and Performance Estimates of Finite State Machines in Reconfigurable Systems

Salauyou

2024

Applied Sciences

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Modern reconfigurable systems are typically implemented in field-programmable gate arrays (FPGAs) based on look-up tables (LUTs). Finite state machines (FSMs) perform the functions of control devices and are integral to reconfigurable systems. When designing reconfigurable systems, the problem of optimizing the area and performance of FSMs often arises. The FSM synthesis and state encoding methods generally use only one estimate of the FSM area or performance. However, regardless of the computational complexity of the FSM synthesis or state encoding method, if the estimate incorrectly reflects the optimization aim, the result is far from the optimal solution. This paper proposes several estimates of the area and performance of FSMs implemented in LUT-based FPGAs. The effectiveness of the proposed estimates was investigated using the sequential method for FSM state encoding. Experimental studies on benchmarks showed that the FSM area decreases on average from 3.8% to 6.5%, compared to known approaches (for some cases by 33.3%), while the performance increases on average from 3.5% to 7.3% (for some cases by 27.6%). Recommendations for the practical use of the proposed estimates are also provided. The Conclusions section highlights promising directions for future research.

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Area and Performance Estimates of Finite State Machines in Reconfigurable Systems

Salauyou

2024

Applied Sciences

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Field Programmable Gate Array: An Extensive Review, Recent Trends, Challenges and Applications

Cited by 1 publication

References 39 publications

Area and Performance Estimates of Finite State Machines in Reconfigurable Systems

Area and Performance Estimates of Finite State Machines in Reconfigurable Systems

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