Methods and apparatus to recommend instruction adaptations to improve compute performance

At least one non-transitory computer readable storage medium comprising instructions that, when executed, cause at least one processor to at least:

• detect an execution pattern from an execution profile associated with code in an instruction repository;
• identify a possible adaptation that may be applied to the code based on the execution pattern;
• execute a machine learning model to predict an expected performance improvement of the adaptation;
• determine whether the expected performance improvement meets an improvement threshold;
• in response to the determining that the expected performance improvement meets the improvement threshold, apply the possible adaptation to the code.

A method for recommending instruction adaptations to improve compute performance, the method comprising:

• detecting an execution pattern from an execution profile provided by a server, the execution profile associated with an instruction stored in an instruction repository;
• identifying a possible instruction adaptation that may be applied to the instruction associated with the execution pattern;
• predicting, using a machine learning model, an expected performance improvement of the adaptation;
• determining whether the expected performance improvement meets a threshold;
• and
• in response to determining that the expected performance improvement meets the threshold, applying the possible instruction adaptation to the instruction.

An apparatus for recommending code adaptations to improve compute performance, the apparatus comprising:

• means for detecting an execution pattern from an execution profile provided by a server, the execution profile associated with code stored in an instruction repository;
• means for identifying a possible code adaptation that may be applied to the code associated with the execution pattern;
• means for predicting, using a machine learning model, an expected performance improvement of the adaptation;
• means for determining whether the expected performance improvement meets a threshold;
• means for applying, in response to determining that the expected performance improvement meets the threshold, the possible code adaptation to the code.