Noel,
Did you try Intel C++ Compiler? (I’ts free for open source projects on Linux).
In some programs I got 2:1 performance improvements.
Best Regards,
Lorenzo
> On 30 Jul 2017, at 01:20, Noel Carboni <ncarb...@prodigitalsoftware.com>
> wrote:
>
> Hi folks of the Little CMS mailing list,
>
> I'm just curious: Given that PCs and Macs are based on Intel chipsets
> nowadays...
>
> Do we have a feel for how much Little CMS is being used on other processor
> architectures?
>
> I ask because I'm considering submitting some optimizations I've made to the
> interpolation routines that speed things up for Intel-based systems. They're
> not Intel-specific, but are just optimization of the source code that pick up
> 5% to 20% in speed in the x64 testbed tests.
>
> Git code as of yesterday, as measured on my dual-Xeon Westmere workstation:
>
> P E R F O R M A N C E T E S T S
> =================================
>
> 16 bits on CLUT profiles : 34.4828 MPixel/sec.
> 8 bits on CLUT profiles : 32.3232 MPixel/sec.
> 8 bits on Matrix-Shaper profiles : 66.6667 MPixel/sec.
> 8 bits on SAME Matrix-Shaper profiles : 120.301 MPixel/sec.
> 8 bits on Matrix-Shaper profiles (AbsCol) : 66.6667 MPixel/sec.
> 16 bits on Matrix-Shaper profiles : 34.4828 MPixel/sec.
> 16 bits on SAME Matrix-Shaper profiles : 137.931 MPixel/sec.
> 16 bits on Matrix-Shaper profiles (AbsCol) : 34.4828 MPixel/sec.
> 8 bits on curves : 88.8889 MPixel/sec.
> 16 bits on curves : 91.4286 MPixel/sec.
> 8 bits on CMYK profiles : 11.9314 MPixel/sec.
> 16 bits on CMYK profiles : 11.976 MPixel/sec.
> 8 bits on gray-to gray : 104.575 MPixel/sec.
> 8 bits on gray-to-lab gray : 105.263 MPixel/sec.
> 8 bits on SAME gray-to-gray : 105.263 MPixel/sec.
>
>
> My current code:
>
> P E R F O R M A N C E T E S T S
> =================================
>
> 16 bits on CLUT profiles : 38.5542 MPixel/sec.
> 8 bits on CLUT profiles : 33.0579 MPixel/sec.
> 8 bits on Matrix-Shaper profiles : 66.1157 MPixel/sec.
> 8 bits on SAME Matrix-Shaper profiles : 121.212 MPixel/sec.
> 8 bits on Matrix-Shaper profiles (AbsCol) : 66.9456 MPixel/sec.
> 16 bits on Matrix-Shaper profiles : 38.5542 MPixel/sec.
> 16 bits on SAME Matrix-Shaper profiles : 142.857 MPixel/sec.
> 16 bits on Matrix-Shaper profiles (AbsCol) : 38.5542 MPixel/sec.
> 8 bits on curves : 89.3855 MPixel/sec.
> 16 bits on curves : 94.1176 MPixel/sec.
> 8 bits on CMYK profiles : 14.4796 MPixel/sec.
> 16 bits on CMYK profiles : 14.5587 MPixel/sec.
> 8 bits on gray-to gray : 125 MPixel/sec.
> 8 bits on gray-to-lab gray : 124.031 MPixel/sec.
> 8 bits on SAME gray-to-gray : 124.031 MPixel/sec.
>
> These translate to real product gains... For example, with a 100 megapixel
> 32 bit grayscale image our heavily multi-threaded transform time dropped from
> 1485 milliseconds to 968 milliseconds.
>
> Source rearrangement notwithstanding, if one were to create routines that
> would make use of the vector instructions virtually every Intel system
> already has (e.g., SSE2) the results could be markedly better still. I've
> been through converting all my own software to use vectors and the results
> were well worth the effort. We now run faster with 32 bit floating point
> than we used to with integer formats.
>
> There is also the further possibility of extending the Little CMS algorithms
> into the GPU for huge gains. I suppose the trouble with that would be
> figuring out what subsystem to use (OpenCL programs... OpenGL shaders...
> Vulkan? Others?)
>
> -Noel
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