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→Assignment 2
Getting libjpeg to work, (the functionality of reading RGB pixel values from the .jpg file and storing them in a CImg object), took much longer to figure out. Linking the previous windows .lib build did not work, I suspect because our parallel version is being compiled in 64bit and libjpeg is 32bit. My first attempt (which did not work, so I would not recommend trying), was to replace libjpeg with [https://libjpeg-turbo.org/ turbo-jpeg], which is a 64bit library that overloads every libjpeg function so that it should be able to replace libjpeg functionality as-is, and is supposed to run faster due to optimization. By installing turbo-jpeg and moving jpeg62.dll to the project executable folder, I was able to get the solution to compile, however, it froze during run-time upon opening a .jpg file.
What finally did work was installing the windows 64bit version of [https://www.imagemagick.org/script/download.php#windows ImageMagick], and then removing the line of code "#define cimg_use_jpeg" which told CImg to use libjpeg. By default, it finds ImageMagick from it's default installation directory, and uses its functionality instead when initializing a CImg object from file. Oddly enough, I tried to use ImageMagick at the very beginning of the project, and could not get it to work, and thus used using libjpeginstead. Now for the CUDA version, it works. Either way, you will notice the pixel values themselves slightly different than in the first time run example. This simply shows that libjpeg and ImageMagick use different logic to determine colour values.
=== Assignment 3 ===