Systems with chip multi-processors are currently used for several applications that have real-time requirements. In chip multi-processor architectures, many hardware resources such as parts of the cache hierarchy are shared between cores and by using such resources, applications can significantly interfere with each other. In previous work, we showed that a single X-ray imaging streaming applications can be executed with low jitter on such systems. However, it was assumed that only one application would be running on the system, which prevents system integration where multiple real-time and best- effort applications are executing on a single chip multi-processor. In this paper, we address the limited bandwidth in the cache hierarchy, which can cause threads to interfere with each other significantly. We propose a technique that implements cache bandwidth reservation in software, by dynamically duty-cycling best-effort applications, based on their cache bandwidth usages using processor performance counters in order to control the influence of best-effort applications on real-time applications. With this technique we can control the latency increase of real- time applications that is caused by best-effort application in order to satisfy real-time requirements with a minimal reduction in best-effort performance. The results of the experiments with real- life applications indicate that we can control the increase of the latency to such an extent that we can almost completely eliminate the influence of bandwidth sharing in the cache at the cost of best-effort performance.
|Title of host publication||The Fifth International Conference on Resource Intensive Applications and Services, INTENSIVE 2013|
|Place of Publication||Canada|
|Number of pages||7|
|Publication status||Published - 24 Mar 2013|
|Publisher||International Academy, Research, and Industry Association|
- Real Time
Westmijze, M., Bekooij, M. J. G., & Smit, G. J. M. (2013). Interference control by best-effort process duty-cycling in chip multi-processor systems for real-time medical image processing. In The Fifth International Conference on Resource Intensive Applications and Services, INTENSIVE 2013 (pp. -). Canada: IARIA.