Using a cluster of processors with a distributed memory, parallelization for multigroup flux computations is investigated. The parallel performance will be studied in cases where the neutron transport equation is discretized using the collision probability technique. Particular techniques pertinent to the two-step process of solving a multigroup linear equation, as well as a fixed source solver, are described. Parallelization is achieved by distributing either different energy groups or different regions on a set of workstations using PVM. Typical run times will be provided for 1-D CANDU cell test case. Finally, conclusions are drawn for realistic applications of parallel multigroup flux solvers. I. INTRODUCTION In the coming years, powerful computing machines will consist of many processors connected by a high speed message exchange network. Small multi-computers are already quite common in industry research centres and universities. However, many challenges remain with regard to al..