Added an option to show backtrace from where
non-freed datablock was allocated from.
To enable this feature, simply enable DEBUG_BACKTRACE
in mallocn.c file and all unfreed datablocks will
be followed up by a backtrace.
Currently works on linux and osx only,
windows support is on TODO.
This feature is for sure disabled by default,
so does not affect any builds which don't
explicitly define DEBUG_BACKTRACE.
non-threadsafe usage of guarded allocator.
Also added small chunk of code to check consistency of begin/end
threaded malloc.
All this additional checks are commented and wouldn't affect on
builds, however found them helpful to troubleshoot issues so
decided to commit it to SVN.
This implements AO baking directly from multi-resolution mesh with much
less memory overhead than regular baker.
Uses rays distribution implementation from Morten Mikkelsen, raycast
is based on RayObject also used by Blender Internal.
Works in single-thread yet, multi-threading would be implemented later.
http://sourceforge.net/projects/mingw-w64/files/Toolchains%20targetting%20Win64/Personal%20Builds/ray_linn/GCC-4.7.0-with-ada/mingw-w64-gcc-4.7.0-runtime-2.0.1-static-ada-20120330.7z/download
Other builds may also work but due to the constantly changing nature of the compiler this cannot be guaranteed. I often had to change compilers while building the libraries and this one is the one that did the job for most of them.
This first support is experimental and considered "advanced". To enable pass -DWITH_MINGW64 during cmake configuration. Also make sure to extract the compiler on C:/MinGW and that MinGW/bin is in your path. To build check out lib/mingw64.
Initially the support is lacking until I get every library compiled correctly. For now you should disable WITH_CYCLES(sorry, I know some people are dying to do benchmarks, but still a few libs to go), WITH_IMAGE_OPENEXR, WITH_OPENCOLLADA, WITH_LIBMV and WITH_CODEC_FFMPEG(links but hangs on startup).
Still the tools are working, the memory limit is increased and due to the experimental nature of the setup, full optimization with SSE2 is available, which makes the build quite fast. Also the compiler and especially, the linker are way faster than regular MinGW.
The wiki docs have also updated. Happy testing!