Current　high-end　graphics　processing　units　(GPUs),　which　contain　up　to　thousand　cores　per-chip,　are　widely　used　in　the　high　performance　computing　community.　However,　in　the　past,　the　cost　and　power　consumption　of　constructing　a　high　performance　platform　with　graphics　cards,　such　as　Tesla　and　Fermi　series,　are　high.　Moreover,　these　graphics　cards　all　installed　in　personal　computers　or　servers,　and　then　the　immediate　and　mobility　requirements　can　not　be　provided　by　this　platform.　NVIDIA　Jetson　TK1　(Tegra　K1)　is　a　full-featured　platform　for　embedded　applications　and　it　contains　192　CUDA　Cores　(Kepler　GPU).　Due　to　its　low　cost,　low　power　consumption　and　high　applicability,　NVIDIA　Jetson　TK1　has　become　a　new　research　direction.　In　this　paper,　we　construct　a　mobility　and　acceleration　computing　platform　with　NVIDIA　Jetson　TK1.　Besides,　two　tools,　ClustalWtk　and　MCCtk　are　designed　based　on　NVIDIA　Jetson　TK1.　These　tools　both　can　achieve　3　and　4　times　speedup　ratios　on　single　NVIDIA　Jetson　TK1　by　comparing　with　their　CPU　versions　on　Intel　XEON　E5-2650　CPU　and　ARM　Cortex-A15　CPU,　respectively.　Moreover,　the　cost-performance　ratio　by　NVIDIA　Jetson　TK1　is　higher　than　that　by　NVIDIA　Tesla　K20m.　In　addition,　the　user　friendly　interfaces　are　also　provided　by　these　two　tools,　respectively.