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.