Computational power is not always the most important thing. And GPUs computational power is severely limited to a very specific class of problems. In physics i

Computational power is not always the most important thing. And GPUs computational power is severely limited to a very specific class of problems. In physics it's important, for example, to implement very low latency event triggers (at least in the high energy physics), and FPGAs are a bliss here. FPGAs are great for a wide class of the memory-throughput-bound problems as well, those that suck on GPUs badly (even on those with a proper local memory). There are dozens to hundreds of independent block RAMs on FPGAs, which allows a degree of parallelisation which is never possible with GPUs.