Low Power Distributed Embedded Systems: Dynamic Voltage Scaling and Synthesis
HiPC '02 Proceedings of the 9th International Conference on High Performance Computing
Design Tools for Application Specific Embedded Processors
EMSOFT '02 Proceedings of the Second International Conference on Embedded Software
Orion: a power-performance simulator for interconnection networks
Proceedings of the 35th annual ACM/IEEE international symposium on Microarchitecture
A survey of techniques for energy efficient on-chip communication
Proceedings of the 40th annual Design Automation Conference
A Holistic Approach to Designing Energy-Efficient Cluster Interconnects
IEEE Transactions on Computers
Performance Evaluation and Design Trade-Offs for Network-on-Chip Interconnect Architectures
IEEE Transactions on Computers
A New Cost-Effective Technique for QoS Support in Clusters
IEEE Transactions on Parallel and Distributed Systems
Power efficient traffic grooming in optical WDM networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Optimal placement of frequently accessed IPs in mesh NoCs
ACSAC'07 Proceedings of the 12th Asia-Pacific conference on Advances in Computer Systems Architecture
Scalable high-radix router microarchitecture using a network switch organization
ACM Transactions on Architecture and Code Optimization (TACO)
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
Hi-index | 0.01 |
As interconnection networks proliferate to many new applications, a low-latency high-throughput fabric is no longer sufficient. Applications are becoming power-constrained.In this paper, we propose an architectural-level power model for interconnection network routers that will allow researchers and designers to easily factor in power when exploring architectural trade-offs. We applied our model to two commercial routers 驴 the integrated Alpha 21364 router and the IBM 8-port 12X InfiniBand router, and show that the different micro-architectures lead to vastly different power consumption and distribution estimates.