Name
Title | ||
|---|---|---|
Powermax: an automated methodology for generating peak-power traffic in networks-on-chip |
Abstract | ||
|---|---|---|
Early estimation of the peak power consumption of a system under development is crucial in assessing the design's reliability and thermal profile, and for benchmarking various architectural options and chip-level power management features. In this paper, we present a versatile power-virus generation technique for Networks-on-Chip (NoC), which allows the designer to quantify the realistically attainable peak power consumption, in order to efficiently guide the design process. The proposed PowerMax methodology generates appropriate network traffic patterns that cause peak power consumption within the NoC. More importantly, PowerMax is a fully automated high-level methodology that can be applied to any network topology and any routing algorithm. The proposed technique maximizes both the network utilization and the data switching activity, thereby causing, on average, 5.5x higher power consumption than synthetic traffic patterns with random behavior. PowerMax can be used as a stand-alone tool to test the power characteristics of the NoC, or it can be embedded in other system-level powervirus applications. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/NOCS.2016.7579318 | 2016 Tenth IEEE/ACM International Symposium on Networks-on-Chip (NOCS) |
Keywords | Field | DocType |
peak-power traffic generation,networks-on-chip,design reliability,thermal profile,benchmarking,architectural options,chip-level power management features,versatile power-virus generation technique,NoC,PowerMax methodology,network traffic patterns,network topology,routing algorithm,network utilization,data switching activity,synthetic traffic patterns,random behavior,system-level power-virus applications,fully automated high-level methodology | Power management,Computer science,Real-time computing,Network topology,Engineering design process,Throughput,Multiplexing,Benchmarking,Power consumption,Routing algorithm | Conference |
ISBN | Citations | PageRank |
978-1-4673-9031-6 | 0 | 0.34 |
References | Authors | |
18 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ioannis Seitanidis | 1 | 16 | 3.02 |
| Chrysostomos Nicopoulos | 2 | 835 | 50.37 |
| Giorgos Dimitrakopoulos | 3 | 215 | 27.31 |