Supervisor: M.Sc. Indar Sugiarto Begin: 14.10.2014 End: 14.01.2015

A factor graph is a representation of a factorization of a function. The importance of factor graphs lies in the fact that it enables easy and efficient computations of marginal distribution functions of a joint probability distribution. The factor graphs have applications in many fields such as error correction coding, detection and estimation, wireless networking, artificial intelligence and many others. The information processing of the brain can be modeled as a factor graph which gives an insight into the functional architecture of the brain. In this report factor graph framework is implemented in a Graphical Processing Unit for a faster performance. A model factor graph is implemented in GPU and its results are compared to that of CPU