| 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 15:04, 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
Full document
Back to Top
GET PDF
Document information
Published on 26/02/20
Submitted on 26/02/20
DOI: 10.23967/exaqute.2021.2.026
Licence: CC BY-NC-SA license
Share this document
claim authorship
Are you one of the authors of this document?