Aiming at the low efficiency when traditional realization methods of map algebra apply to calculations for gigantic raster data, this paper maps the traditional serial algorithms to GPU parallel processing architecture on a new parallel programming model of GPU named Compute Unified Device Architecture. The paper also aims to discuss the realization mechanism surrounding parallel mapping methods from traditional serial algorithms to parallel algorithms and adaptive-parameter adjustments on computer graphic processor resources.