Abstract
Applications of machine-learned algorithms in the field of variable classification have been popular as they are simple to implement and performing as well. A few years back, a small MPI application developed as the core of a variable detection pipeline for the ROTSE-IIID robotic telescope archive. Now it has been extended to involve the parallel approach for machine learned classification specifically for the long-term variables like Mira and Semi-regular variables. This presentation mainly covers the efforts to put the methodology in reality.
