| Line 3: | Line 3: | ||
This deliverable focuses on the design of an interface between MLMC algorithms, the | This deliverable focuses on the design of an interface between MLMC algorithms, the | ||
| − | scheduling engine, and problem solvers. For this purpose an API | + | scheduling engine, and problem solvers. For this purpose an API definition is proposed |
| − | together with a basic reference implementation in Python. This work serves as a | + | together with a basic reference implementation in Python. This work serves as a first step |
for the development of the ExaQUte MLMC Python engine. | for the development of the ExaQUte MLMC Python engine. | ||
It includes: | It includes: | ||
| − | + | • API definition | |
| − | + | • 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> | ||
Latest revision as of 16:04, 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 definition is proposed together with a basic reference implementation in Python. This work serves as a first step for the development of the ExaQUte MLMC Python engine. It includes: • API definition • 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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