I'm all gung-ho for FPGAs since that's a huge part of my job, but I have to admit that GPUs will always be easier, faster, and more convenient for just about ev

I'm all gung-ho for FPGAs since that's a huge part of my job, but I have to admit that GPUs will always be easier, faster, and more convenient for just about everything you'd want to do as some type of accelerator. There would only be exceptions for power usage, and maybe peak throughout. Where FPGAs shine best are in embedded or very obscure applications where GPUs are way too big, power hungry, or cannot support enough parallelization of your specific algo.