Adaptive turning models and traffic patterns to reduce the optical loss in Photonic Network-on-Chips

Author(s):
Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Many of processing cores integrated on chip have high speed; Photonic Network-on-Chips is one of the simple methods to solve addressing problem in huge interconnection networks. For this reason, multiprocessing chips with high performance and high bandwidth are needed in future. Photonic Network-on-Chips is a new generation of Network-on-Chip which can solve the traditional networks limitations and has many advantages such as high communication bandwidth, low transfer latency and power consumption. On the other hand, Photonic Network-on-Chips has many challenges. Routing photonic data on photonic layer is one of the important challenges, because the path selection has influence to optical loss factor. In this paper, deadlock free adaptive turning models routing algorithm, circuit switching and different traffic pattern to reduce optical loss on photonic layer with 5port deadlock free router and 2-D Mesh topology is proposed. Finally, we compare our simulation result with similar algorithm such as dimension order XY routing algorithm and the resulted improvement is shown.

Language:
Persian
Published:
Journal of Information and Communication Technology, Volume:10 Issue: 35, 2018
Pages:
15 to 26
magiran.com/p2154625  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!