Re: [hatari-devel] Hatari 1.6.1 test build for Mac OS X

[Jerome Vernet <vernet.jerome@xxxxxxxxxx>]

I've just tested on my G4 MDD my ppc build( done on the MacBook): it fail, with an incompatible version of libpng. really a pain in... I need the frameworks version of libpng, libz and libreadline, as these dynamic library depend of the developper package installed or not... With the Framework embedded in the app, it will be ok !

I don't know if portaudio is really needed ? Same for readline, as we do not use really the text debugger (well, you can, if you launch Hatari thru the commande line).

Dyld Error Message:

  Library not loaded: /usr/X11/lib/libpng12.0.dylib

  Referenced from: /Volumes/Hatari/Hatari.app/Contents/MacOS/Hatari

  Reason: Incompatible library version: Hatari requires version 47.0.0 or later, but libpng12.0.dylib provides version 45.0.0

JV

Le 15 janv. 12 à 16:56, Bob Carpenter a écrit :

@Stefan: When I use "otool", I see that libpng is referenced. However, it refers to /usr/X11/lib so I am assuming it is not included in the executable like the SDL framework. I have tried the mono monitor switch several times without having it fail. However, I agree with you that Jerome's executables are the best choice to host at tuxfamily. For one, he has the only PPC build.

Bob C

On Sun, Jan 15, 2012 at 9:01 AM, Eero Tamminen <oak@xxxxxxxxxxxxxx> wrote:

Hi,

On sunnuntai 15 tammikuu 2012, Bob Carpenter wrote:
> I had never tried the video capture before. It did seem to slow down
> Hatari significantly. I was trying to play Llamatron 2112 with the video
> capture on and it was very sluggish. I was playing Hatari in a window
> rather than full screen. However, the video file itself was full speed.

There are two things affecting its performance:

* Video frame compression in PNG format
 - Faster CPU or SIMD accelerated[1] PNG library could help
* Disk write speed
 - Faster disk (RAID array?) would help


       - Eero

[1] PNG compression isn't something that's easily SIMD accelerated
   unlike e.g. JPEG which is matrix based compression method.