Big Data

Towards No-Cost Adaptive MPSoC Static Schedules Through Exploitation of Logical-to-Physical Core Mapping Latitude

Date Added: Sep 2009
Format: PDF

The computing engines of many current applications are powered by MPSoC platforms, which promise significant speedup but suffer from increased reliability problems as a result of ever growing integration density. While static MPSoC execution schedules deliver predictable worst-case performance, the absence of dynamic variability unfortunately constrains their usefulness in such an unreliable execution environment. Adaptive static schedules with predictable responses to run-time resource variations have consequently been proposed, yet the extra constraints imposed by adaptivity on task assignment have resulted in schedule length increases. The authors propose to eradicate the associated performance degradation of such techniques while retaining all the concomitant benefits, by exploiting an inherent degree of freedom in task assignment regarding the logical to physical core mapping.