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Data parallelism in CUDA, OpenGL, and other GPU APIs is doing fantastically and has for decades. (If writes are allowed, these APIs technically have the same problems as threads, but in practice they're easier to deal with since traditional mutex locks and condition variables are mostly unavailable in that environment, and the APIs force you to carefully declare the sharing semantics of your data buffers.)

Most parallel (not concurrent) problems map well to the data parallel model. Even Make is basically a data parallel API with read-only constant data, just with a more complex dependency graph.




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