An Adaptive Routing Algorithm for Wireless Network on Chips
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 186
فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JECEI-10-2_020
تاریخ نمایه سازی: 20 تیر 1401
چکیده مقاله:
kground and Objectives: Wireless Network on Chip (WNoC) is one of the promising interconnection architectures for future many-core processors. Besides the architectures and topologies of these WNoCs, designing an efficient routing algorithm that uses the provided frequency band to achieve better network latency is one of the challenges.Methods: Using wireless connections reduces the number of hops for sending data in a network, which can lead to lower latency for data delivery and higher throughput in WNoCs. On the other hand, since using wireless links reduces the number of hops for data transfer; this can result in congestion around the wireless nodes. The congestion may result in more delay in data transfer which reduces the network throughput of WNoCs. Although there are some good routing algorithms that balance traffic using wired and wireless connections for synthetic traffic patterns, they cannot deal with dynamic traffic patterns that existed in real-world applications. In this paper, we propose a new routing algorithm that uses the wireless connections as much as possible, and in the case of congestion, it uses the wired connection instead.Results: We investigated the proposed method using eight applications from the Parsec benchmark suite. Simulation results show that the proposed method can achieve up to ۱۳.۹% higher network throughput with a power consumption reduction up to ۱.۴%.Conclusion: In this paper, we proposed an adaptive routing algorithm that uses wireless links to deliver data over the network on chip. We investigated the proposed method on real-work applications. Simulation results show that the proposed method can achieve higher network throughput and lower power consumption.
نویسندگان
A. Tajary
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran.
E. Tahanian
Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran.
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله 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 مقاله لینک شده اند :