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Fitness inheritance in evolutionary and multi-objective high-level synthesis

Christian Pilato, Gianluca Palermo, Antonino Tumeo, Fabrizio Ferrandi, Donatella Sciuto, Pier Luca Lanzi
2007 2007 IEEE Congress on Evolutionary Computation  
This paper presents a model to exploit fitness inheritance in a multi-objective optimization algorithm (i.e.  ...  In evolutionary high-level synthesis, design solutions have to be evaluated to extract information about some figures of merit (such as performance, area, etc.) and to allow the genetic algorithm to evolve  ...  CONCLUSIONS AND FUTURE WORKS In this paper we presented a model to exploit fitness inheritance in a NSGA-II algorithm (multi-objective optimization algorithm) applied to the high-level synthesis problem  ... 
doi:10.1109/cec.2007.4424920 dblp:conf/cec/PilatoPTFSL07 fatcat:via77nc2pnflhh2dgcr3kfgvom

An Evolutionary Approach to Area-Time Optimization of FPGA designs

Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Palermo, Christian Pilato, Donatella Sciuto, Antonino Tumeo
2007 2007 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation  
In this paper we provide a solution based on the Non-dominated Sorting Genetic Algorithm (NSGA-II) to explore the design space in order obtain the best solutions in terms of performance given the area  ...  It starts from a behavioral description written in a common high-level language (for instance C) to automatically produce the register-transfer level (RTL) design in a hardware description language (e.g  ...  CONCLUSIONS AND FUTURE WORK In this paper we presented a new flow for high level synthesis that implements an evolutionary algorithm to perform multi-objective design space search.  ... 
doi:10.1109/icsamos.2007.4285745 dblp:conf/samos/FerrandiLPPST07 fatcat:kawzwmtgkzb6rdlwxh3y2ci25e

Design Space Exploration with Evolutionary Multi-Objective Optimisation

M. Holzer, B. Knerr, M. Rupp
2007 2007 International Symposium on Industrial Embedded Systems  
Several performance improvements for genetic algorithms are introduced, which target a fast and accurate design space exploration. Finally, the performance of the proposed algorithm is evaluated.  ...  This work describes the automated design space exploration for area timing trade-offs by utilising evolutionary multi-objective optimisation.  ...  The object of high level synthesis is twofold. First, by describing a system at higher level a productivity gain can be obtained.  ... 
doi:10.1109/sies.2007.4297326 dblp:conf/sies/HolzerKR07 fatcat:tyu2rkwjqncpfae6pqpbs7e7ba

Automated exploration of datapath and unrolling factor during power–performance tradeoff in architectural synthesis using multi-dimensional PSO algorithm

Anirban Sengupta, Vipul Kumar Mishra
2014 Expert systems with applications  
A novel algorithm for automated simultaneous exploration of datapath and Unrolling Factor (UF) during power-performance tradeoff in High Level Synthesis (HLS) using multi-dimensional particle swarm optimization  ...  This analysis presented would assist the designer in pre-tuning the PSO parameters to an optimum value for achieving efficient exploration results within a quick runtime; (e) analysis of design metrics  ...  In Palermo, Silvano, and Zaccaria (2008) , the authors have proposed a discrete particle swarm optimization based design space exploration in high level synthesis.  ... 
doi:10.1016/j.eswa.2014.01.041 fatcat:vziobdi57fgfdlasviytyichqu

A Meta-Model Assisted Coprocessor Synthesis Framework for Compiler/Architecture Parameters Customization

Sotirios Xydis, Gianluca Palermo, Vittorio Zaccaria, Cristina Silvano
2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013  
Customized coprocessor synthesis exploits design space exploration to derive Pareto optimal design configurations for a set of targeted metrics.  ...  Existing exploration strategies for coprocessor synthesis have been focused on either time consuming iterative scheduling approaches or ad-hoc sampling of the solution space guided by the designer's experience  ...  Annealing [31] (MOSA) and the (ii) NSGA-II multi-objective genetic algorithm [32] .  ... 
doi:10.7873/date.2013.143 dblp:conf/date/XydisPZS13 fatcat:2sxeze5nnbhg7ppfhpgvth5ntm

Speeding-Up Expensive Evaluations in High-Level Synthesis Using Solution Modeling and Fitness Inheritance [chapter]

Christian Pilato, Daniele Loiacono, Antonino Tumeo, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto
2010 Computational Intelligence in Expensive Optimization Problems  
In this paper, we present an evolutionary approach to HLS that extends previous works in three respects: (i) we exploit the NSGA-II, a multi-objective genetic algorithm, to fully automate the design space  ...  High-Level Synthesis (HLS) is the process of developing digital circuits from behavioral specifications.  ...  In addition, the high-level synthesis problem is multi-objective and most of the design objectives are contrasting by nature.  ... 
doi:10.1007/978-3-642-10701-6_26 fatcat:uf6kjwnlzrcihfzafgkce6yzyu

Rapid exploration of cost-performance tradeoffs using dominance effect during design of hardware accelerators

Reza Sedaghat, Anirban Sengupta
2014 Facta universitatis - series Electronics and Energetics  
Furthermore, the Design Space Exploration (DSE) of the cost-performance tradeoffs for the multi objective VLSI designs should also be fast and efficient in nature.  ...  This paper presents a novel accelerated DSE approach for the exploration of cost-performance tradeoffs of modular multi (trio parametric. viz. cost, execution time and power consumption) objective VLSI  ...  In addition to the above, a problem space genetic algorithm for design space exploration of data paths have been proposed in [14] .  ... 
doi:10.2298/fuee1403317s fatcat:7kehkkwxlvci5mwmgwldk3534i

CAD Tool Design Space Exploration via Bayesian Optimization [article]

Yuzhe Ma, Ziyang Yu, Bei Yu
2019 arXiv   pre-print
In this paper we target at an automatic flow for reducing manual tuning efforts to achieve high quality circuits synthesis outcomes.  ...  There are lots of parameters involved in EDA tools, which results in a huge design space.  ...  Linear regression and artificial neural network are adopted for multiprocessor systems-on-chip design [4] . Random forest is applied in high level synthesis (HLS) [5] , [6] .  ... 
arXiv:1912.06460v1 fatcat:xjyxzxg3jrecdpk4eoanjvbfzu

MEMS design synthesis: integrating case-based reasoning and multi-objective genetic algorithms

Corie L. Cobb, Ying Zhang, Alice M. Agogino, Said F. Al-Sarawi
2006 Smart Structures, Devices, and Systems III  
A case-based reasoning (CBR) knowledge base has been incorporated into a Micro-Electro-Mechanical Systems (MEMS) design tool that uses a multi-objective genetic algorithm (MOGA) to synthesize and optimize  ...  Designs in the case library are represented in a parameterized object-oriented format, incorporating MEMS domain knowledge into the design synthesis loop as well as restrictions for the genetic operations  ...  ACKNOWLEDGEMENTS This worked was conducted in part with support from the Bell Labs Graduate Research Fellowship Program and NSF grant CCR-DES/CC-0306557.  ... 
doi:10.1117/12.695609 fatcat:7cmx45xwf5bihptzjz3gj4sc3e

A comparative evaluation of multi-objective exploration algorithms for high-level design

Jacopo Panerati, Giovanni Beltrame
2014 ACM Transactions on Design Automation of Electronic Systems  
This paper presents a detailed overview and the experimental comparison of 15 multi-objective Design Space Exploration (DSE) algorithms for high-level design.  ...  In particular, the effectiveness of each algorithm was evaluated for the optimization of a multi-processor platform, considering initial setup effort, rate of convergence, scalability, and quality of the  ...  A Comparative Evaluation of Multi-Objective Exploration Algorithms for High-Level Design INTRODUCTION The continuous increase of transistor density on a single die is leading towards the production of  ... 
doi:10.1145/2566669 fatcat:hljv5cm47vd5rj7otgokxe26ju

Efficient Design-Space Exploration of OpenCL Kernels for FPGA Targets using Black-Box Optimization

Alireza Ghaffari, Yvon Savaria
2021 IEEE Access  
Nowadays, many industries are in favor of using intelligent design space exploration as opposed to brute-force analysis.  ...  INDEX TERMS Accelerator design, Bayesian optimization, design space exploration, grey wolf optimization, hardware design, surrogate model.  ...  Melanie Segado and Yavar Korkian for their valuable comments.  ... 
doi:10.1109/access.2021.3117560 fatcat:64fqw73cbjbutfkkixsg3tck6u

Systems Engineering and Metabolic Engineering: A Side-by-Side Comparison

Joseph Johnnie, Mark Austin, Ganesh Sriram, Matt Conway, Ashish Misra
2012 Procedia Computer Science  
The purposes of this paper are to propose a multi-level framework for the synthesis, analysis and design of metabolic systems, and then explore the extent to which abstractions from systems engineering  ...  The computational test-bed that accompanies this work is production of the anti-malarial drug artemisinin in genetically engineered Saccaharomyces cerevisiae (yeast).  ...  We propose in this paper a multi-level framework for the synthesis, analysis and design of metabolic systems.  ... 
doi:10.1016/j.procs.2012.01.047 fatcat:hxkwfk5b35cy5cmtyl56xfqt7m

Multi-objective optimization methods in drug design

Christos A. Nicolaou, Nathan Brown
2013 Drug Discovery Today : Technologies  
Drug discovery is a challenging multi-objective problem where numerous pharmaceutically important objectives need to be adequately satisfied for a solution to be found.  ...  Multi-objective optimization methods, designed specifically to address such problems, have been introduced to the drug discovery field over a decade ago and have steadily gained in acceptance ever since  ...  Acknowledgements CN would like to thank Christine Humblet (Eli Lilly & Co.) for reviewing the manuscript and providing useful feedback. NB is funded by Cancer Research UK Grant no. C309/A8274.  ... 
doi:10.1016/j.ddtec.2013.02.001 pmid:24050140 fatcat:tkaroywsf5dfhmwh7sbi7quoju

Design of Analog Integrated Circuits using Simulated Annealing/Quenching with Crossovers and Particle Swarm Optimization [chapter]

Tiago Oliveira, Wilhelmus A. M. Van Noije
2012 Simulated Annealing - Advances, Applications and Hybridizations  
The model can serve for a high-level synthesis tool as a way to fast evaluate low level blocks.  ...  Multi-objective information can guide the algorithm when it is locked in a local minimum and also used combined with SA to explore the pareto-front.  ... 
doi:10.5772/50384 fatcat:3ikxcshtpreitjeh7mr3iwwhum

Hierarchical MEMS synthesis and optimization

Ying Zhang, Raffi Kamalian, Alice M. Agogino, Carlo H. Sequin, Vijay K. Varadan
2005 Smart Structures and Materials 2005: Smart Electronics, MEMS, BioMEMS, and Nanotechnology  
A hierarchical MEMS synthesis and optimization architecture has been developed for MEMS design automation.  ...  The architecture integrates an object-oriented component library with a MEMS simulation tool and two levels of optimization: global genetic algorithms and local gradient-based refinement.  ...  The authors gratefully acknowledge the work of Sebastian Graf in developing the object-oriented data structure during his internship with the Berkeley Sensors and Actuator Center at UC Berkeley [10] .  ... 
doi:10.1117/12.600376 fatcat:vehcqan2i5f6zegllqaqbphyta
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