[chunsj]

In my case, building a miner and computation accelerator with FPGA boards really help me understanding the applications of FPGA. Though I have started learning HDL languages to build digital circuits, to me, that' not such an interesting subject, however, accelerated computing with FPGA had been very interesting experience.

[eachro]

What are the sort of applications that FPGAs enable/accelerate?

[le-mark]

Seems like fpga are more for hardware designs that need more compute than a DSP can provide. It’s nearly impossible to beat modern GPUs for compute power, but they also can’t or aren’t be integrated into a board that controls a microwave transponder, radar, or whatever. I’m a laymen though, hopefully someone will correct this post.

[bajsejohannes]

I think the answer is that it depends on what exactly you're optimizing for and what the workload is. I no expert either, but some of my predictions would be: DSPs and FPGAs will be great at compute per watt. FPGAs will have the highest initial cost. GPUs might beat FPGAs on floating point performance.