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To the best of my understanding, this highlights differences in precision-sensitive operations between the OpenCL and stdc++ platforms. The speed results remained, but the new test revealed different answers. I used float for both examples to keep the total computational complexity the same.
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Worried about the possibility of "unintended optimizations", I tried using a different kernel function. In this example, the vanilla C++ is clean and easy to read, but is ~20x slower than the OpenCL version. Note - I strongly recommend using a sample size of greather than one to draw any conclusions with real-life consequences! With this in mind, I set up a simple example using both OpenCl and straight C++, and compared timings. Poking around a bit, I see that pow() and log really are quite complex to compute, particularly for doubles (since the total effort is a function of precision).
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In a scientific simulation program that I use & help develop, Valgrind revealed that pow(double, double) was taking fully half of the total computational time. My test case was inspired by a performance issue that I ran into in my work. I quickly discovered that consumer Intel GPUs, at present, do *not* support double anything, making this a less-than-ideal test-bed for scientific programming.
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Running Debian, I was able to easily download the requisite packages and get started.
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Conveniently, my laptop contains a low-end 24-core embedded GPU on its Broadwell chip. Personally, I don't want to fuss with hardware right now - I just want to see how the GPU/C++ pieces fit together. Can I do this in a day, or perhaps just an evening? It also got me wondering how hard a simple "hello world" OpenCL program would be to get running on my Intel-only laptop. This figure deserves describes everything from cellphones and game consoles to super computers and communications satellites. The axes are a bit tricky, but the general idea is that a platform at the "origin" is predictable and easy to program for, whereas things get trickier as you move up and/or right. The latter essay portrays all possible computer architectures on a 2D plane of CPU versus memory architecture.
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