> The Canvas in Android only uses the phone's CPU and not GPU.
The Canvas code is only used to blit a pre-formed RGB image to the screen.
The issue is probably that Jmol itself consumes CPU while rendering the
frames.
> It would be a massive rewrite of Jmol to fully implement OpenGL.
I agree that to "fully implement" OpenGL would be nearly a complete
rewrite.
In addition, I (continue to) seriously wonder whether or not it would be
any faster given that we are just rendering spheres.
While I haven't seen jmol running on Android, I am surprised that it is
"sluggish" given that the original target hardware for Jmol was a 600 Mhz
32-bit Pentium. I would have expected modern phone processors to be at
least on par with that.
I wonder ...
Q: Does the Java implementation on Android have a JIT (Just-In-Time)
Compiler, or does the processor interpret the JVM bytecode instructions?
Miguel
Miguel
On Tue, Oct 8, 2013 at 11:13 PM, Robert Hanson <hans...@stolaf.edu> wrote:
> It would be a massive rewrite of Jmol to fully implement OpenGL. I would
> opt for something much simpler. What's your application?
>
>
> On Sun, Oct 6, 2013 at 8:07 PM, Chance Leachman
> <leachmancha...@gmail.com>wrote:
>
>> I've been looking into Jmol for Android. The only problem is that even
>> with the latest and greatest phones, Jmol for Android is still quite
>> sluggish. After putting in some research I found it might have to do with
>> Canvas. The Canvas in Android only uses the phone's CPU and not GPU.
>> Switching to OpenGL might fix this problem. Any ideas or reasons this won't
>> work?
>>
>>
>>
>> ------------------------------------------------------------------------------
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>>
>
>
> --
> Robert M. Hanson
> Larson-Anderson Professor of Chemistry
> St. Olaf College
> Northfield, MN
> http://www.stolaf.edu/people/hansonr
>
>
> If nature does not answer first what we want,
> it is better to take what answer we get.
>
> -- Josiah Willard Gibbs, Lecture XXX, Monday, February 5, 1900
>
>
>
> ------------------------------------------------------------------------------
> October Webinars: Code for Performance
> Free Intel webinars can help you accelerate application performance.
> Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most
> from
> the latest Intel processors and coprocessors. See abstracts and register >
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>
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the latest Intel processors and coprocessors. See abstracts and register >
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