Conference proceeding
Energy Aware Routing of Multi-level Network-on-Chip Traffic
PROCEEDINGS OF THE 34TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD), pp 480-486
01 Jan 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The emergence of Network-on-Chip (NoC) as a communication paradigm for Multi-Processor System-on-Chips (MPSoCs) significantly exacerbates the need to provide a methodology that optimizes the energy consumption of the overall system. This is especially important when factoring in current Network-on-Chip advances which have multiple communication media such as on-chip wireless or nano-photonics links, hybrid with traditional wired links. All of these media have different energy profiles, and if not taken into consideration the system will incur a higher power consumption throughout the runtime of the application. In this work, the case for EDP (energy-delay product) optimization between different levels of a multi-level Network-on-Chip is presented. Using a dynamic, energy aware algorithm, the EDP improvement is compared to a multi-level Network-onChip using a statically optimized routing. The proposed routing algorithm handles the different types of energy-delay profiles of multiple links. The end product is a methodology that lowers the overall energy consumption by optimizing the energy profile of the Network-on-Chip while also minimizing the network delay.
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Details
- Title
- Energy Aware Routing of Multi-level Network-on-Chip Traffic
- Creators
- Vasil Pano - Drexel UniversityIsikcan Yilmaz - Drexel Univ, Elect & Comp Engn, Philadelphia, PA 19104 USAAnkit More - Intel Corp, Hillsboro, OR 97124 USABaris Taskin - Drexel UniversityIEEE
- Publication Details
- PROCEEDINGS OF THE 34TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD), pp 480-486
- Series
- Proceedings IEEE International Conference on Computer Design
- Publisher
- IEEE
- Number of pages
- 7
- Grant note
- CNS-1305350; ECCS-1232164 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000391829200076
- Other Identifier
- 991019170381104721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Engineering, Electrical & Electronic