The estimation of receiver coil sensitivity information is important for SENSE (Sensitivity Encoding) reconstruction. Inaccurate sensitivity profiles degrade the reconstructed image quality. However, the methods to estimate the receiver coils sensitivity information are computationally intensive. This work proposes a parallel framework (for GPU implementation) for a recently proposed method of sensitivity estimation (which uses Eigen value decomposition of the multi coil low resolution images). The results show that the proposed method provides a 3.5x speed in our experiments while maintaining the reconstructed image quality.