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Multi-objective genetic optimized multiprocessor SoC design
Arjomand, M.
- DOI:10.1109/ISSOC.2008.4694887
- Main Entry: Arjomand, M.
- Title:Multi-objective genetic optimized multiprocessor SoC design.
- Publisher:2008.
- Abstract:In this paper, we introduce a new Multi-Objective Genetic Algorithm (MOGA) for mapping a given set of intellectual property onto a Network-on-Chip architecture such that for a specific application total communication cost and energy consumption become optimized while bandwidth constraints are satisfied. As the main theoretical contribution, we first introduce a generic queuing model to estimate performance and an experimental energy consumption model during the design phase, with acceptable accuracy. Then, an efficient genetic algorithm employs these models to propose a Pareto optimal front for an application and an arbitrary topology. Experimental results show that the proposed algorithm is very fast which results in a new approach for mapping MPSoC cores on chip. © 2008 IEEE
- Notes:Sharif Repository
- Subject:Arbitrary topology.
- Subject:Bandwidth constraint.
- Subject:Communication cost.
- Subject:Design phase.
- Subject:Efficient genetic algorithms.
- Subject:Energy consumption.
- Subject:Energy consumption model.
- Subject:Multi objective.
- Subject:Multi-objective genetic algorithm.
- Subject:Multi-processor SoC.
- Subject:Network-on-chip architectures.
- Subject:New approaches.
- Subject:On chips.
- Subject:Pareto-optimal front.
- Subject:Queuing models.
- Subject:Application specific integrated circuits.
- Subject:Electric network topology.
- Subject:Microprocessor chips.
- Subject:Multiobjective optimization.
- Subject:Programmable logic controllers.
- Subject:Telecommunication systems.
- Subject:Electric load forecasting.
- Added Entry:Sarbazi Azad, H.
- Added Entry:Amiri, S. H.
- Added Entry:Sharif University of Technology.
- Source: 2008 International Symposium on System-on-Chip, SOC 2008, Tampere, 5 November 2008 through 6 November 2008 ; December , 2008 ; 9781424425419 (ISBN)
- Web Site:https://ieeexplore.ieee.org/document/4694887