Conference proceeding
Workload-Aware Routing (WAR) for Network-on-Chip Lifetime Improvement
2018 IEEE International Symposium on Circuits and Systems (ISCAS), v 2018-, pp 1-5
May 2018
Abstract
The emergence of Network-on-Chip (NoCs) as a scalable interconnection infrastructure for Chip Multi-Processors (CMPs) creates the need to analyze the degradation and lifetime repercussions incurred by network traffic from exa-scale and distributed workloads. Reliability methods and redundancies are in place to circumvent defective parts or to roll back to a previous safe state. These reliability techniques are reactive in nature and do not focus effort in avoiding degradation which may result in full system failure. Current methods for improving degradation and lifetime focus on design and runtime optimizations. This paper proposes a workload-aware routing algorithm, which complements known techniques and optimizes the overall network traffic balance. The end product is a methodology that utilizes workload signatures and priority-based routing to improve port and router utilization across the network. The proposed WAR algorithm stays within ≈2% of the latency and average hop count of a NoC using XY routing. Simulation results show an improvement in network traffic balance upto ≈17% (average improvement of ≈8.6%) with WAR on NoCs for lifetime improvement.
Metrics
Details
- Title
- Workload-Aware Routing (WAR) for Network-on-Chip Lifetime Improvement
- Creators
- Vasil Pano - Drexel UniversityScott Lerner - Drexel UniversityIsikcan Yilmaz - Drexel UniversityMichael Lui - Drexel UniversityBaris Taskin - Drexel UniversityIEEE
- Publication Details
- 2018 IEEE International Symposium on Circuits and Systems (ISCAS), v 2018-, pp 1-5
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000451218703086
- Scopus ID
- 2-s2.0-85057128438
- Other Identifier
- 991019167598104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic