Association for Computing Machinery
As technology scales, the impact of process variation on the MAXimum supported Frequency (FMAX) of individual cores in a Multi-Processor System-on-Chip (MPSoC) becomes more pronounced. Task allocation without variation-aware performance analysis can greatly compromise performance and lead to a significant loss in yield, defined as the percentage of manufactured chips satisfying the application timing requirement. The authors propose variation-aware task allocation for best-effort and real-time streaming applications modeled as task graphs. Their solutions are primarily based on the throughput requirement, which is the most important timing requirement in many real-time streaming applications.