2D CUDA-based bilinear interpolation

GPU assisted fast bilinear interpolation
3.6K Downloads
Updated 16 Jul 2008

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This MEX performs 2d bilinear interpolation using an NVIDIA graphics chipset. To compile and run this software, one needs the NVIDIA CUDA Toolkit (http://www.nvidia.com/object/cuda_get.html) and, of course, an NVIDIA graphics card of reasonably modern vintage.

BUILDING INSTRUCTIONS: Change the 'MATLAB' (and if necessary, 'MEX') variables in the Makefile to appropriate values, then simply run 'make' at a prompt and an executable (mex/mexmac/mexmaci/dll?) file will be created.

This code uses your GPU's built-in bilinear texture interpolation capability, and is very fast. For reasonably sized operations (taking, say, a 50x50 matrix up to 1000x1000) CUDA-based code is 5-10x faster than linear interp2 (as tested on a MBP 2.4GHz C2D, GeForce 8600M GT).

With very (VERY) large matrices, however, it has the capability of completely crashing your computer or giving bizarre results. Be careful!

Cite As

Alexander Huth (2024). 2D CUDA-based bilinear interpolation (https://www.mathworks.com/matlabcentral/fileexchange/20248-2d-cuda-based-bilinear-interpolation), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0

Updated help, added test benchmarking script.