Name
Abstract | ||
|---|---|---|
Modern hardware systems are required to be robust, resilient and long-life, thus they have to be adaptive to changing requirements and operating conditions. This covers not only the data processing functions but also control and timing/power operation. For example, such systems will be increasingly powered by ambient sources (energy harvesting) and will experience a wide range of modes, including not only dynamic voltage scaling but even power supplies which do not deliver a stable Vdd level. Asynchronous circuits offer ultimate robustness under extreme variations caused by unstable power supply, however, the robustness often comes at the price of a heavy/slow implementation. This may be the only option for the extreme operating conditions, but is unacceptable for the normal operation mode of the system (in which it may be running most of the time). There is clearly a need to choose a particular circuit implementation in run-time rather than in design time. In this paper we present and investigate a new methodology which provides a way of building adaptive asynchronous circuits supporting a range of power and timing modes of operation (possibly even synchronous modes) that can be selected during run-time according to the known hardware, environmental, and power/latency budget requirements. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ASYNC.2012.23 | ASYNC |
Keywords | Field | DocType |
known hardware,asynchronous circuit,extreme operating condition,adaptive asynchronous circuit,asynchronous circuits,power operation,logic parametrisation,normal operation mode,extreme variation,unstable power supply,design time,power supply,mathematical model,energy harvesting,logic gates,robustness,energy efficiency | Dynamic voltage scaling,Asynchronous communication,Asynchronous system,Computer science,Efficient energy use,Energy harvesting,Robustness (computer science),Electronic engineering,Electronic circuit,Asynchronous circuit | Conference |
ISSN | Citations | PageRank |
1522-8681 | 6 | 0.57 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrey Mokhov | 1 | 136 | 26.57 |
| Danil Sokolov | 2 | 227 | 27.50 |
| Alex Yakovlev | 3 | 516 | 64.23 |