  In this work, we have explored the advantages and drawbacks of using GPUs
instead of CPUs in the calculation of a standard 2-point correlation function
algorithm, which is useful for the analysis of Large Scale Structure of
galaxies. Taking into account the huge volume of data foreseen in upcoming
surveys, our main goal has been to accelerate significantly the analysis codes.
We find that GPUs offer a 100-fold increase in speed with respect to a single
CPU without a significant deviation in the results. For comparison's sake, an
MPI version was developed as well. Some issues, like code implementation, which
arise from using this option are discussed.
