Mixed precision approach for modelling large geospatial datasets
The international team of researchers could speed up the modelling of large geospatial datasets with benchmark accuracy when implemented on a computing system based on highly parallelized graphics processor units. Computers can perform large calculations in a short time. But due to the constraint on the way the digital system stores data, calculation resulting in a longer sequence of digits will be curtailed. Accumulation of precision errors in geospatial datasets can lead to faulty modelling outcomes. The latest development in the field seems to be an elegant solution for this…