Name
Abstract | ||
|---|---|---|
We formally define a high-level power-aware protocol model based on a Markov chain, and consider 2 aspects of power consumption: the general switching activity, and the cost of data transfers. A state-assignment algorithm is devised that results in a state encoding that is near the theoretical lower bound (in the protocols we have studied). We have analyzed a set of protocol `converters' that have been synthesised for the AMBA protocol, and compared the (high-level) predicted power consumption with the power actually used during (low-level) simulation of these converters. We observe high fidelity. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/DATE.2010.5457200 | DATE |
Keywords | Field | DocType |
protocols,power electronics,high-level power-aware protocol model,high fidelity,state assignment,power consumption,high-fidelity markovian power model,state encoding,data transfers,general switching activity,high level power aware protocol model,amba protocol,markov chain,switching networks,state-assignment algorithm,state assignment algorithm,high fidelity markovian power model,markov processes,data transfer,lower bound,predictive models,encoding,switches,data engineering,computer science | High fidelity,Markov process,Upper and lower bounds,Computer science,Markov chain,Real-time computing,Converters,Power electronics,Energy consumption,Encoding (memory) | Conference |
ISSN | ISBN | Citations |
1530-1591 | 978-1-4244-7054-9 | 4 |
PageRank | References | Authors |
0.48 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Cao | 1 | 20 | 2.99 |
| Albert Nymeyer | 2 | 106 | 9.98 |