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Now parallelize the evaluation of the populations

Update installation file and add a new cmake build method. Type 'cmake .', then make and the installation process stay the same ( . install.sh {local})

Check for clang instead of apple to know it must include openMP, as clang don't support it on any platform. Easea now compile on clang/llvm 3.0 and 3.3

Fix compilation on MacOSX
Update the grammar generated files

-CUDA.tpl corrected bugs
-Improve the user information, by dumping proper population size to distribute to current GPGPU system.
-Resolve a bug in GPU evaluation. Now evaluation are really done in parallel on all the cards, (it was serialized before).
-Add instrumented tools in CEvolutionaryAlgorithm.cpp (INSTRUMENTED must be defined to use this feature).
     -If timing.csv file does not already exist, a description of each field is outputted first in the file.
-It is now possible to specify a range of GPU to be used for evaluation computation at execution time. This is done using --fstgpu and --lstgpu arguments, that specify used gpus as [fstgpu,lstgpu[.
-Installer improved for linux and MacosX

	Cuda code generation was bugged due to this problem.

selection

	-Print standard floating point number in csv file
	(no longer in scientific format, because scientific format is not standard
	for example it is not compatible with openoffice).