WORKLOAD PERFORMANCE PREDICTION

For each of a number of workloads, time intervals within execution performance information that was collected during execution of the workload on a first hardware platform are correlated with corresponding time intervals within execution performance information that was collected during execution of...

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Hauptverfasser: GARCEZ MONTEIRO, Pedro Henrique, HAAS COSTA, Carlos, ATHREYA, Madhu Sudan, GAY, Raphael, MAKAYA, Christian
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:For each of a number of workloads, time intervals within execution performance information that was collected during execution of the workload on a first hardware platform are correlated with corresponding time intervals within execution performance information that was collected during execution of the workload on a second hardware platform. For a workload, the time intervals within the execution performance information on the second hardware platform are correlated to the time intervals within the execution performance information the first hardware platform during which the same parts of the workload were executed. A machine learning model that outputs predicted performance on the second hardware platform relative to known performance on the first hardware platform is trained. The model is trained from the correlated time intervals within the execution performance information for each workload on the hardware platforms.