When using CUDAfy.NET, if you encounter the “Compilation Error” when running examples, simply add “cl.exe” to your PATH! It will resolve the translator exceptions. It’s funny how I didn’t find much about it online…
ArrayFire is Now Open Source!
To my surprise, the CUDA library ArrayFire is now open source and licensed under BSD 3-Clause License which means that commercial use is permitted! ArrayFire is a production oriented library which greatly reduces CUDA application development time. The repository is hosted on GitHub and is located here.
Tutorial : Use CUDA and C++11 Code in MATLAB
As it turns out, incorporating CUDA code in MATLAB can be easily done! 🙂 MATLAB provides functionality for loading arbitrary dynamic libraries and invoking their functions. This is especially easy for invoking C/C++ code in a MATLAB program. Such functionality is possible using the so called MEX functions. Introduction: Mex functions can be created with the …
CImg and NVIDIA’s NPP Interop
Apparently, NPP relies on the pixel order of its input arrays (they need to be interleaved). If you are planning on using CImg with NPP, be sure to check this post out before attempting to do so. Failing to permute CImg image axes will result in wrong filtered values for color images.
Error: “incorrect inclusion of a cudart header file”
If you receive this error while compiling a CUDA program, it means that you have included a CUDA header file containing CUDA specific qualifiers (such as __device__) in a *.cpp file. CUDA header files with such qualifiers should ONLY be included in *.cu files. This happened to me when I had #inlcude <common_functions.h> in my *.cpp …
Enable C++11 Support for CUDA Compiler (NVCC) – CUDA 6.5+
To enable support for C++11 in nvcc just add the switch -std=c++11 to nvcc. If you are using Nsight Eclipse, right click on your project, go to Properties > Build > Settings > Tool Settings > NVCC Compiler and in the “Command line prompt” section add -std=c++11 The C++11 code should be compiled successfully with nvcc. Nsight’s C++ …
NPP’s Convoluion with Border Control Only Partially Implemented
One thing I discovered yesterday is that the image convolution filters implemented in NPP (such as nppiFilterBorder_8u) are only partially implemented! These family of functions are asserted to provide border control for the convolution, thus serving as a robust alternative to the regular image convolution functions in NPP (such as nppiFilter_8u). The catch is that the …