Systems and methods for determining a configuration for a microarchitecture

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

• generate a first candidate configuration of parameters;
• execute a machine learning model with the first candidate configuration of parameters to generate estimated performance indicators;
• determine whether the estimated performance indicators are reliable;
• determine, in response to a determination that the estimated performance indicators are reliable, whether the estimated performance indicators have improved toward a target;
• if the estimated performance indicators have improved, store the first candidate configuration of parameters as a potential solution for a microarchitecture without performing a full simulation on the first candidate configuration of parameters;
• if the estimated performance indicators are not reliable, perform a full simulation with the first candidate configuration of parameters to generate first performance indicators for the first candidate configuration of parameters;
• and
• create a hardware description language (HDL) file based on the first candidate configuration of parameters to be used to fabricate the microarchitecture.

A system for optimizing a configuration for a microarchitecture, the system comprising:

• means for generating a first candidate configuration of parameters;
• means for applying machine learning to the first candidate configuration of parameters to output estimated performance indicators;
• first means for determining whether the estimated performance indicators are reliable;
• second means for determining whether the performance indicators have improved toward a target in response to a determination that the estimated performance indicators are reliable, if the estimated performance indicators have improved, the second determining means is to store the first candidate configuration of parameters in a memory as a potential solution for the microarchitecture without initiating a full simulation on the first candidate configuration of parameters;
• means for creating a hardware description language (HDL) file based on the first candidate configuration of parameters to be used to fabricate the microarchitecture;
• and
• means for accepting or rejecting the first candidate configuration of parameters, wherein, if the estimated performance indicators have not improved, the accepting or rejecting means is to randomly reject or accept the first candidate configuration of parameters.

A method for optimizing a configuration for a microarchitecture, the method comprising:

• generating, by executing an instruction with a processor, a first candidate configuration of parameters;
• executing, by executing an instruction with the processor, a machine learning model with the first candidate configuration of parameters to generate estimated performance indicators;
• determining, by executing an instruction with the processor, whether the estimated performance indicators are reliable;
• determining, by executing an instruction with the processor, in response to a determination that the estimated performance indicators are reliable, whether the estimated performance indicators have improved toward a target;
• if the estimated performance indicators have improved, storing, by executing an instruction with the processor, the first candidate configuration of parameters as a potential solution for the microarchitecture without performing a full simulation on the first candidate configuration of parameters;
• performing, by executing an instruction with the processor, in response to a determination that the estimated performance indicators are not reliable, a full simulation based on the first candidate configuration of parameters to generate first performance indicators for the first candidate configuration of parameters;
• and
• creating, by executing an instruction with the processor, a hardware description language (HDL) file based on the first candidate configuration of parameters to be used to fabricate the microarchitecture.