Summary
Traditional solutions for data and graph analytics tend to be highly fragmented, and take the form of stand-alone frameworks. In this poster session, we shall describe our approach that is centered around a suite of advanced parallel primitives embedded within SPM.Python. These primitives augment the serial Python language with concepts like parallel generators, emitters and exceptions.