I guess from some sense, all web apps and all GUI apps using the GPU are using parallelism. That's almost everything. Those are both leveraging shared-nothing type architectures so you can think in a single thread and apply it to concurrent work loads for parallelism.
Does that not count? What would satisfy this category?
I think the dream of parallelism in 1999 was that CPUs aren't going to get much faster in terms of clock cycles, so how will algorithms run on more data. This is a bit dumbed-down, but things like sorting in parallel.
It turns out that local data didn't quite scale like that, we got more ram and SSDs, and that coordination usually makes small-scale parallel algorithms prohibitively expensive. Where parallelism does work today is some flavor of SIMD like vector instructions, parallel matrix multiplication on a GPU, or map-reduce.
Does that not count? What would satisfy this category?