Iterative Closest Point with CUDA Parallelization Author: Long Qian Date: 2016-12-15 Overview This is course project of Johns Hopkins University EN.600.420. It is made possible mainly with Python and PyCUDA. Paralleled ICP is significantly faster than single-threaded traditional ICP.