SOPC-Based Genetic Algorithm Implementation
Publish place: 14th Iranian Conference on Electric Engineering
Publish Year: 1385
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,663
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICEE14_204
تاریخ نمایه سازی: 25 تیر 1387
Abstract:
The ever-growing complexity of the modern chips is forcing fundamental changes in the way systems are designed. System-on-a-Programmable-Chip (SOPC) concept is bringing a major revolution in the design of integrated circuits, due to the fact that it makes unprecedented levels of in-field integration possible. Genetic algorithm (GA) is a powerful function optimizer that is used successfully to solve problems in many different disciplines. A major drawback of GA is that it needs huge computation time for sequential execution on PCs. Therefore, the hardware implementation of GA has been the focus of some recent studies. In this paper, a SOPC-based genetic algorithm framework is proposed. Our proposed framework can be used in real-time applications. We have implemented our proposed system on an Altera® Stratix Development Kit and we compare its performance with the corresponding software simulation. The results obtained indicate a speedup of up to 31 times in the elapsed computation time on this system.
Keywords:
Authors
M. Salmani Jelodar
School of Electrical and Computer Engineering University of Tehran
M. Kamal
Compuetr Engineering Department Sharif University
S. M. Fakhraie
School of Electrical and Computer Engineering University of Tehran
M. Nili Ahmadabadi
School of Electrical and Computer Engineering University of Tehran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :