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This paper discusses the hardware and software components of the GridComputing system used to implement the Locus Algorithm to identify optimumpointings for differential photometry of 61,662,376 stars and 23,799 quasars.The scale of the data, together with initial operational assessments demanded aHigh Performance Computing (HPC) system to complete the data analysis. Gridcomputing was chosen as the HPC solution as the optimum choice available withinthis project. The physical and logical structure of the National Grid computingInfrastructure informed the approach that was taken. That approach was one oflayered separation of the different project components to enable maximumflexibility and extensibility.

The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry