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\subsection{Technical contribution}  Taking part to the construction of an instrument is always beneficial to the in-depth understanding of its performance. In this regard, the LUPM team has investigated with the team at LPNHE, leader in France on the camera focal plane instrumentation, some possible areas of collaboration. One area of immediate and concrete interest will be the interfacing of the camera testing effort at LPNHE with the global software system developed and managed in the U.S.A., and notably at  SLAC for the electro-optical test implementation and quality control framework for logging and persistence of the results. Taking this interfacing effort in charge gives an entry point to the LUPM team to learn the basics of CCD behavior and performance, crucial to many key science topic as including  the photometry or point spread function estimates, while it will provide a welcome help to the LPNHE team in this transition phase toward a production activity completely integrated to the global LSST production framework. Furthermore, this activity completely enters into the core technical activity that the LUPM team is putting forward in its proposal, which is precisely a contribution to software and computing efforts, that we now detail. As mentioned in \secref{context}, \ref{context},  the computing effort that LSST-France is planning to undertake is very significant. Besides, the French LSST computing group is already involved in large-scale processing with the LSST official reconstruction software (called `LSST stack') in the context of data challenges involving SDSS Stripe 82 data in 2013 and CFHTLS data in the near future. These data challenges represent a workhorse for the French LSST community to take steps toward understanding in details the LSST reconstruction software and its performance. The technical contributions of LUPM thus will revolve around the following three computing efforts, which are already identified in LSST-France ongoing or planned activities : \begin{itemize}  \item LSST Stack and camera : deploying computing infrastructure for either sensor testing pipelines or Data Challenges; Investigating the Stack performance while building the Data Challenge production frameworks;  \item distributed computing : investigating where local expertise can ease design and deployment of the software, specifically in conjunction with the DIRAC system, already heavily used at LUPM to manage Fermi and CTA large Monte Carlo productions.