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...x builds are not using SSE right now, but the vector data is 16-byte aligned on all platforms. So if you port this SSE code to another platform (Linux, Altivec, NEON), you could contribute it back to Bullet? The most interesting SSE part is the innerloop of the constraint solver: http://tinyurl.com/ydoapct Some developers replaced some linear algebra functions (in Bullet/LinearMath) with VFP/Neon optimizations, but haven't contributed this back. This NEON/VFP, part of the an open source iPhone project, could be a starting point for this: http://tinyurl.com/y9gv3e8 Thanks, Erwin 2009/12/...

...E right now, but the vector data is > 16-byte aligned on all platforms. > So if you port this SSE code to another platform (Linux, Altivec, > NEON), you could contribute it back to Bullet? > The most interesting SSE part is the innerloop of the constraint > solver: http://tinyurl.com/ydoapct Sounds like a very interesting SSE test. > > Some developers replaced some linear algebra functions (in > Bullet/LinearMath) with VFP/Neon > optimizations, but haven't contributed this back. > This NEON/VFP, part of the an open source iPhone project, could be a > starting p...

Hello, Erwin > Although most of this is plain portable C++ perhaps LLVM can auto-vectorize > some of this? Well, I doubt so, unfortunately - LLVM does not have any autopar these days > There is a little bit of hand optimized x86 SSE code. This is only enabled > on 32bit Windows and Mac OSX Intel builds. Ok. What's about Linux builds? Are there any other implementations e.g.

Hi Anton, Thanks a lot for offering help. Bullet uses basic linear algebra with 4-way vectors, quaternion and matrices. Although most of this is plain portable C++ perhaps LLVM can auto-vectorize some of this? There is a little bit of hand optimized x86 SSE code. This is only enabled on 32bit Windows and Mac OSX Intel builds. >> Should I just use the 2.75 release? If you are interested,