مشاهده مشخصات مقاله
SOPC-Based Particle Swarm Optimization
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نویسنده (ها) |
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Amin Farmahini-Farahani
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Sied Mehdi Fakhraie
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
The complexity of the modern chips is rising and fundamental changes in systems design are necessary. Systemon-
a-Programmable-Chip (SOPC) concept is bringing a major revolution in the design of integrated circuits, due
to the flexibility it provides and complexity it caters to. Particle Swarm Optimization (PSO) is a new powerful
function optimizer that is used successfully to solve problems in numerous fields. A major downside of PSO and
many evolutionary algorithms is that they have essential difficulties in their huge computation time due to
sequential execution in software implementation. By implementing a modified particle swarm optimizer in
hardware, many of the computations can be preformed simultaneously, significantly reducing computation time
compared to software. In this paper, a SOPC-based PSO framework is proposed. The obtained results indicate a
speedup of up to 40 times in the elapsed computation time. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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