Int-TAR: An Intelligent Thermal-Aware Routing Algorithm for 3D NoC
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background and Objectives
Thermal problem is one of the main challenges in 3D on-chip networks. Inappropriate traffic distribution, poor heat dissipation, cooling restriction for layers away from the chip heatsink are the main reasons for this problem.Methods
This paper proposes a new intelligent routing algorithm called (Int-TAR) to solve these problems. Int-TAR applies a routing for managing the heat in 3D on-chip networks dynamically. The main idea behind Int-TAR is to save the past states of the system and, according to these states, predict the future behavior of the network and perform routing dynamically. It is done by the threshold of routers dynamically based on the current status of the routers.Result
The simulation results show that Int-TAR decreases the temperature of the network by 13% and improves performance efficiently.Conclusion
The proposed idea shows the better benchmark for the thermal problem in 3D on-chip network. Also, the higher memory for storing the past state of the network can make accurate and the further performance for the network.Keywords:
Language:
English
Published:
Journal of Electrical and Computer Engineering Innovations, Volume:10 Issue: 1, Winter-Spring 2022
Pages:
47 to 56
magiran.com/p2361470
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!