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What are the primary motivations for employing multi-objective optimization techniques in hardware generation within system level synthesis ? 

Hardware description language
Hardware register
Reusability
Bayesian optimization
Verilog
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Employing multi-objective optimization techniques in hardware generation within system-level synthesis is primarily motivated by the need to address conflicting metrics like delay, area, power, wire length, digital noise, reliability, and security . These conflicting objectives necessitate the use of Multi-Objective Optimization Algorithms (MOAs) to handle trade-offs effectively . By utilizing MOAs, designers can navigate the complex design space of Field Programmable Gate Array (FPGA) devices more efficiently, optimizing various parameters simultaneously . Additionally, the incorporation of multi-fidelity optimization methods can further enhance the optimization process by leveraging low-fidelity estimates available in FPGA CAD flows to speed up the tuning of High-Level Synthesis (HLS) parameters . This approach significantly reduces optimization time compared to traditional methods, improving designer productivity in hardware development .

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Papers (5)Insight
Open access•Journal Article•DOI
Development of Multiobjective High-Level Synthesis for FPGAs
Darian Reyes Fernandez de Bulnes, Yazmin Maldonado, Leonardo Trujillo 
29 Jun 2020-Scientific Programming
6 Citations
Multi-objective optimization in hardware generation aids in addressing conflicting metrics like delay, area, power, wire length, noise, reliability, and security, optimizing diverse objectives in FPGA synthesis efficiently.
Proceedings Article•DOI
Multi-fidelity Optimization for High-Level Synthesis Directives
Charles Lo, Paul Chow 
01 Aug 2018
13 Citations
Multi-fidelity optimization in High-Level Synthesis (HLS) aims to enhance designer productivity by utilizing low-fidelity estimates from FPGA CAD flows, reducing optimization time significantly.
Proceedings Article•DOI
Optimized high-level synthesis of SMT multi-threaded hardware accelerators
Jens Huthmann, Andreas Koch 
01 Dec 2015
5 Citations
Primary motivations for employing multi-objective optimization techniques in hardware generation within system level synthesis include reducing area overhead while maintaining performance of hardware accelerators.
Proceedings Article•DOI
Hardware Reusability Optimization for High-Level Synthesis of Component-Based Processors
Xiahua Liu, Defu Cao, Qinshu Chen 
13 May 2022
Optimizing hardware reusability and resource efficiency to reduce design area while maintaining performance levels are key motivations for employing multi-objective optimization techniques in hardware generation within system level synthesis.
Book Chapter•DOI
Multi-objective Framework for Training and Hardware Co-optimization in FPGAs
Mohammad Amir Mansoori, Mario R. Casu 
01 Jan 2023
The primary motivations for employing multi-objective optimization techniques in hardware generation within system level synthesis are to jointly optimize network architecture and hardware configurations for improved performance.

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