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Re: Timing graphics in the real world
*To*: mathgroup at smc.vnet.net
*Subject*: [mg123010] Re: Timing graphics in the real world
*From*: DrMajorBob <btreat1 at austin.rr.com>
*Date*: Sun, 20 Nov 2011 05:37:23 -0500 (EST)
*Delivered-to*: l-mathgroup@mail-archive0.wolfram.com
*References*: <201111191145.GAA18886@smc.vnet.net>
*Reply-to*: drmajorbob at yahoo.com
I suppose you'd need to adjust Plot/Show options such as PerformanceGoal,
PlotPoints, MaxRecursion... or limit the use of elements like Opacity or
Mesh that lead to a lot of rendering band-width. Rasterize might help, in
that it allows you to control ImageResolution.
I can't think of anything else, off-hand.
Bobby
On Sat, 19 Nov 2011 16:44:05 -0600, Ralph Dratman
<ralph.dratman at gmail.com> wrote:
> Thank you, Bobby. I understand that. Now how do I speed up the
> graphics? I am prepared to spend $ if necessary! Or... maybe I am
> asking this particular question in the wrong forum. If so... my
> apologies. I don't wish to be a pest.
>
> Ralph
>
> On Sat, Nov 19, 2011 at 3:24 PM, DrMajorBob <btreat1 at austin.rr.com>
> wrote:
>> A quote from Help:
>>
>> "AbsoluteTiming[expr] measures only the time involved in actually
>> evaluating
>> expr, not time involved in formatting the result."
>>
>> Graphics rendering occurs in the FrontEnd, not the Kernel, so
>> AbsoluteTiming
>> doesn't count it.
>>
>> Bobby
>>
>> On Sat, 19 Nov 2011 05:45:59 -0600, Ralph Dratman
>> <ralph.dratman at gmail.com>
>> wrote:
>>
>>> I am trying to find out why a piece of 3D graphics code takes a long
>>> time when scaled up to a lot of little objects. For this purpose I
>>> begin by timing ten runs of a small instance. Here's what my function
>>> calls look like:
>>>
>>> noneOfThat[] :=
>>> Module[{}, {drawSolidCube[], drawSolidCube[], drawSolidCube[],
>>> drawSolidCube[], drawSolidCube[], drawSolidCube[], drawSolidCube[],
>>> drawSolidCube[], drawSolidCube[], drawSolidCube[]}]
>>>
>>> where SolidCube is actually not solid, but rather an aggregate of
>>> about 20 cubelets per image in this first test case.
>>>
>>> AbsoluteTiming[noneOfThat[]]
>>> {0.072105, ...}
>>>
>>> or if you prefer,
>>>
>>> Timing[noneOfThat[]]
>>> {0.071197, ...}
>>>
>>> The timing answers are consistent within about 10% across several
>>> tries.
>>> Nice.
>>>
>>> Just one problem: here in my universe, on a Core Duo Mac Mini at 2.4
>>> GHz with about 2 GB of free memory, the actual process described above
>>> takes about 10 seconds. The cores stay at around 50% usage (each)
>>> while this is happening. Drawing is taking about 140 times longer than
>>> Mathematica says!
>>>
>>> Next I try the same task with a 2x increase in linear size of the
>>> cube, leading to an 8x increase in volume and number of objects, with
>>> again 10 repetitions in straight-line Mathematica code.
>>>
>>> AbsoluteTiming then says 0.62970 while Timing says 0.574067, both in
>>> the neighborhood of 8 times the earlier figures. Real-world time is
>>> about 85 seconds, also in line with the 8x scaling.
>>>
>>> Again the processors seem to be about half busy, and once again it
>>> takes about 140 times as long to do the real drawing as Mathematica
>>> reports.
>>>
>>> I'm speculating all this means Mathematica is sending my graphics
>>> hardware a bunch of asynchronous drawing calls while simultaneously
>>> announcing, "Done!"
>>>
>>> I infer that a faster graphics card might make a world of difference.
>>> To make that possible, I could switch to a Windows or Linux system if
>>> necessary.
>>>
>>> If possible, I would like the new real-world drawing time to be at
>>> least ten times better than the figures reported here.
>>>
>>> Comments, please? I would be particularly interested to learn about
>>> any specific hardware that might improve the speed.
>>>
>>> Thank you very much.
>>>
>>> Ralph Dratman
>>>
>>
>>
>> --
>> DrMajorBob at yahoo.com
>>
--
DrMajorBob at yahoo.com
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