The Hierarchical Radiosity Algorithm (HRA) is one of the most efficient sequential algorithms for physically based rendering. Unfortunately, it is hard to implement in parallel. There exist fairly efficient shared-memory implementations but things get worst in a distributed memory (DM) environment. In this paper we examine the structure of the HRA in a graph partitioning setting. Various measurements performed on the task access graph of the HRA indicate the existance of several bottlenecks in a potential DM implementation. We compare "optimal" partitioning results obtained by the partitioning software Metis with a trivial and a spatial partitioning algorithm, and show that the spatial partitioning copes with most of the bottlenecks well.