Abstract

Many modern software applications have performance requirements, like mobile and embedded systems that must keep up with sensor data, or web services that must return results to users within an acceptable latency bound. For such applications, the goal is not to run as fast as possible, but to meet their performance requirements with minimal resource usage, the key resource in most systems being energy. Heuristic solutions have been proposed to minimize energy under a performance constraint, but recent studies show that these approaches are not portable - heuristics that are near-optimal on one system can waste integer factors of energy on others. The POET library and runtime system provides a portable method for resource management that achieves near-optimal energy consumption while meeting soft real-time constraints across a range of devices. Although POET was originally designed and tested …

Date

September 21, 2016

Authors

Connor Imes, David HK Kim, Martina Maggio, Henry Hoffmann

Conference

2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC)

Pages

305-312

Publisher

IEEE