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Hi Jim,
GPGPU is a bit outside of my domain. Using the Aparapi library was the quickest solution I could put together to leverage GPGPU in Java.
Generally speaking, both approaches sound similar / identical in theory and provide the ability to execute some arbitrary code via GPU cores. It is worth noting that neither are a quick way of gaining performance. A lot depends on the actual bottleneck that your use case has. If the bottleneck is an algorithm, then there needs to be a way to rephrase the algorithm in a way that aligns with parallel processing: perform a lot of simple operations in parallel. Otherwise, there are no performance gains. If the bottleneck is elsewhere (like the speed with which you can draw to the screen), then again GPGPU is not as helpful.
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