Fair simultaneous comparison of parallel machine learning models

A method of using a computing device to compare performance of multiple algorithms includes receiving, by a computing device, multiple algorithms to assess. The computing device further receives a total amount of resources to allocate to the multiple algorithms. The computing device additionally ass...

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Bibliographic Details
Main Authors Nitin Ramchandani, Robert Engel, Eric Kevin Butler, Aly Megahed, Yuya Jeremy Ong
Format Patent
LanguageEnglish
Published 03.01.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A method of using a computing device to compare performance of multiple algorithms includes receiving, by a computing device, multiple algorithms to assess. The computing device further receives a total amount of resources to allocate to the multiple algorithms. The computing device additionally assigns a fair share of the total amount of resources to each of the multiple algorithms. The computing device still further executes each of the multiple algorithms using the assigned fair share of the total amount of resources. The computing device additionally compares the performance of each of the multiple based on at least one of multiple hardware relative utility metrics describing a hardware relative utility of any given resource allocation for each of the multiple algorithms.
Bibliography:Application Number: GB20230016883