Computing resource assignment in shared resource computing systems

A processor-implemented method of computing resource allocation, comprising:

• identifying a first machine learning training (MLT) job awaiting assignment to computational resources, the computational resources comprising a plurality of processor components;
• determining a first resource utilization of the first MLT job;
• determining a second resource utilization of a second MLT job being executed by one or more first processor components of the plurality of processor components;
• in response to determining that an aggregate of the first resource utilization and the second resource utilization is below a capacity of the one or more first processor components, assigning the first MLT job to the one or more first processor components, wherein the first MLT job and the second MLT job share the one or more first processor components;
• and
• dispatching the first MLT job for execution using the one or more first processor components.

A processing system, comprising:

• means for identifying a first machine learning training (MLT) job awaiting assignment to computational resources, the computational resources comprising a plurality of processor components;
• means for determining a first resource utilization of the first MLT job;
• means for determining a second resource utilization of a second MLT job being executed by one or more first processor components of the plurality of processor components;
• means for assigning, in response to determining that an aggregate of the first resource utilization and the second resource utilization is below a capacity of the one or more first processor components, the first MLT job to the one or more first processor components, wherein the first MLT job and the second MLT job share the one or more first processor components;
• and
• means for dispatching the first MLT job for execution using the one or more first processor components.