Refactored CUDA parallel scan kernel

Using an odd number of valuesPerThread avoids shared memory bank
conflicts even without a special interleaving. We also save some shared
memory this way.

Small inputs can be scanned with just one CUDA block, which avoids the
scan of block results and second-phase kernel. Hence, large arrays can
be scanned with just 3 kernel launches instead of 4.