Selecting a runtime configuration based on model performance

An apparatus comprising:

• a processor;
• and
• a memory coupled to the processor, the memory comprising instructions executable by the processor to cause the apparatus to:
• run a computing model of a computing device using a first runtime configuration among a plurality of runtime configurations that are configured for the computing model, wherein the computing device comprises a plurality of computing resources;
• detect a resource conflict in the plurality of resources in response to a predictive trigger;
• determine a reduction in model performance based on the detected resource conflict;
• identify, among the plurality of runtime configurations, a second runtime configuration based at least in part on the determined reduction in model performance;
• and
• run the computing model using the second runtime configuration in response to the determined reduction in model performance, wherein the second runtime configuration improves model performance by reducing the resource conflict.

A computer program product comprising a non-transitory computer readable storage medium storing code, the code being configured to be executable by a processor to perform operations comprising:

• running a computing model of a computing device using a first runtime configuration among a plurality of runtime configurations that are configured for the computing model, wherein the computing device comprises a plurality of computing resources;
• detecting a resource conflict in the plurality of resources in response to a predictive trigger;
• determining a reduction in model performance based on the detected resource conflict;
• identifying, among the plurality of runtime configurations, selecting a second runtime configuration based at least in part on the determined reduction in model performance;
• and
• running the computing model using the second runtime configuration in response to the determined reduction in model performance, wherein the second runtime configuration improves model performance by reducing the resource conflict.