Question

Suppose that I’ve two big functions. Is it better to write them in a separate kernels and call them sequentially, or is better to write only one kernel? (I don’t want to read the data back and force form between host and device in between). What about the speed up if I want to call the kernel many times?

Answer 1

One thing to consider is the effect of register pressure on hardware utilization and performance.

As a general rule, big kernels have big register footprints. Typical OpenCL devices (ie. GPUs) have very finite register file sizes and large kernels can result in lower concurrency (fewer concurrent warps/wavefronts), less opportunities for latency hiding, and poorer overall performance. On the other hand, kernel launch overheads are pretty low on most platforms, so if your algorithm doesn’t have an enormous amount of state to save between “phases” of execution, the penalty of using multiple kernels can be rather low.

Using multiple kernels also has another side benefit — you get implicit synchronization between all work units for free. Often that can eliminate the need for atomic memory operations and synchronization primitives which can have a negative impact on code performance.

The ultimate guide should be measured performance. There is no universal rule-of-thumb for this sort of things. Benchmarking is the only way to know for sure.