It has been a year to the day since I wrote about choosing between CUDA and OpenCL for GPU-accelerated applications. A lot has changed in the GPU compute industry since then, so I thought the topic was worth a revisit. This time, I'll make it more of a shootout and split up the discussion into some points worth considering in this debate, namely scalability, friendliness, and compatibility.
