Fair simultaneous comparison of parallel machine learning models
US12117917B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 29, 2021 |
| Grant date | Oct 15, 2024 |
| Priority date | — |
| Expiry date | Jan 14, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/5011
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of using a computing device to compare performance of multiple algorithms. The method 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.