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== Abstract == | == Abstract == | ||
| − | + | This deliverable focuses on the design of an interface between MLMC algorithms, the | |
| + | scheduling engine, and problem solvers. For this purpose an API de�nition is proposed | ||
| + | together with a basic reference implementation in Python. This work serves as a �rst step | ||
| + | for the development of the ExaQUte MLMC Python engine. | ||
| + | It includes: | ||
| + | � API de�nition | ||
| + | � Demonstrator code and description | ||
| + | � Example of usage | ||
== Full document == | == Full document == | ||
<pdf>Media:Draft_Soriano_443331009-3415-document.pdf</pdf> | <pdf>Media:Draft_Soriano_443331009-3415-document.pdf</pdf> | ||
Revision as of 16:01, 26 February 2020
Abstract
This deliverable focuses on the design of an interface between MLMC algorithms, the scheduling engine, and problem solvers. For this purpose an API de�nition is proposed together with a basic reference implementation in Python. This work serves as a �rst step for the development of the ExaQUte MLMC Python engine. It includes: � API de�nition � Demonstrator code and description � Example of usage
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Published on 26/02/20
Submitted on 26/02/20
DOI: 10.23967/exaqute.2021.2.026
Licence: CC BY-NC-SA license
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