This book provides a holistic view of workload-dependent mitigation techniques for performance variability.  The authors describe the use of design-time profiling information to reduce the uncertainties in future execution time calculation at run time, thereby offering the best option for minimizing system costs while reducing missed deadlines.  Readers are introduced to an approach that combines dynamic voltage and frequency scaling (DVFS) with heterogeneous datapaths (HDP), enabling users to tackle performance variability of multiple timescales down to the sub-millisecond level.

This book provides a holistic view of workload-dependent mitigation techniques for performance variability.  The authors describe the use of design-time profiling information to reduce the uncertainties in future execution time calculation at run time, thereby offering the best option for minimizing system costs while reducing missed deadlines.  Readers are introduced to an approach that combines dynamic voltage and frequency scaling (DVFS) with heterogeneous datapaths (HDP), enabling users to tackle performance variability of multiple timescales down to the sub-millisecond level.

This book provides a holistic view of workload-dependent mitigation techniques for performance variability.  The authors describe the use of design-time profiling information to reduce the uncertainties in future execution time calculation at run time, thereby offering the best option for minimizing system costs while reducing missed deadlines.  Readers are introduced to an approach that combines dynamic voltage and frequency scaling (DVFS) with heterogeneous datapaths (HDP), enabling users to tackle performance variability of multiple timescales down to the sub-millisecond level.