In our continuing look at the heterogeneous computing ecosystem, it's time to turn our attention to the photo editing apps currently able to exploit OpenCL- and OpenGL-capable hardware. We interview experts, run benchmarks, and draw some conclusions.
Test Platforms
As in our prior stories, we used the following test configurations:
With luck, we will be adding a new Trinity (next-gen AMD APU)-based notebook to the above heterogeneous compute platforms. Unfortunately, review units weren’t available in time for our testing here.
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Tahiti is pretty darned fast for compute, especially for the price of the 7900 cards, and if too many applications get proper OpenCL support, then Nvidia might be left behind for a lot of professional GPGPU work if they don't offer similar performance at a similar price point or some other incentive.
With the 7970 meeting or beating much of the far more expensive Quadro line, Nvidia will have to step up. Maybe a GK114 or a cut-down GK110 will be put into use to counter 7900. I've already seen several forum threads talking about the 7970 being incredible in Maya and some other programs, but since I'm not a GPGPU compute expert, I guess I'm not in the best position to consider this topic on a very advanced level. Would anyone care to comment (or correct me if I made a mistake) about this?
can you test like these combos:
core i5 + 7970
core i5 hd4000
trinity + 7970
trinity apu
core i7 + 7970
and core i7 hd 4000, and compare against fx8150 (or piledriver) + 7970.
it seemed to me as if the apu bottlenecks the 7970 and the 7970 could work better with an intel i5/i7 cpu on the graphical processing workloads.
vitornobNvidia cards test please. People needs to know if it's better/faster to go OpenCL or CUDA.
http://www.streamcomputing.eu/blog/2011-06-22/opencl-vs-cuda-misconceptions/