Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: New Results

Developement of a Python library for tomography diagnostics

Participants: L. Mendoza

In the tofu code, a big component of both the direct and inverse solvers is the integration module. During the 2019 project it was developed and accelerated. Special attention was brought to memory optimization. Core functions for the inversions routines were developed and parallelized using OpenMP. The number of users and developers of the library has significantly increased in the last year (collaborators in CEA cadarache, ITER, CEA saclay, IPP Garching, etc.) so one of the main objectives was to better the continuous integration and documentation of the code: more unitary and simulation tests have been implemented, an online Web site with the documentation has been added, the library can be used on more platforms (windows, mac os x, and linux), and more fusion devices are now available (West, ITER, JET, etc.).