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On 07/20/2011 10:27 AM, Maurizio De Cecco wrote:
I am playing around with GCC and Clang vector
extensions, on Linux and
Mac OS X, and i am getting some strange behaviour.
I am working on jMax Phoenix, and its dsp engine, in its current state,
is very memory bound; it is based on the aggregation of very small
granularity operations, like vector sum or multiply, each of them
executed independently from and to memory.
I tried to implements all this 'primitive' operations using the vector
types.
On clang/MacOSX i get an impressive improvement in performance,
around 4x on the operations, even just using the vector types for
copying data; my impression is that the compiler use some kind of vector
load/store instruction that properly use the available memory bandwidth,
but unfortunately i do not know more about the x86 architecture.
On gcc/Linux, (gcc 4.5.2) the same code produce a *slow down* of around
2.5x.
Well, anybody have an idea of why ?
I am actually running linux (Ubuntu 11.04) under a VMWare virtual
machine, i do not know is this may have any implications.
Maybe. A better comparison would be: clang/Linux vs. gcc/Linux and
clang/MacOSX vs gcc/MacOSX compiled binaries.
Also as Dan already pointed out: gcc has a whole lot of optimization
flags which are not enabled by default. try '-O3 -msse2 -ffast-math'.
'-ftree-vectorizer-verbose=2' is handy while optimizing code.
have fun,
robin
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