Light-sheet (or Single Plane Illumination) microscopy acquires multiple 3D volumes of a biological sample from different angles. The individual 3D volumes have to be registered, fused and deconvolved in a procedure called multi-view reconstruction. In developmental biology applications, successive time points are usually acquired, requiring that different reconstructions are performed for each time point. Since a single multi-view reconstruction can take up to several hours on a modern workstation, running hundreds of reconstructions becomes extremely time consuming. We have implemented an existing workflow for automated multi-view reconstruction which enables parallel processing of many time points on the Euler computing cluster at ETH. This approach significantly speeds up the total processing from days to hours, making it possible to register and fuse an entire timelapse acquisition in the same time as the images are recorded.