CUDA - standard optimization test functions

[jairodelgado]

This issue is a continuation of issue #10.

We need to implement the following test functions in parallel using CUDA, that is in cudalayer:

• [ ] Ackley
• [ ] Alpine
• [ ] De Jung
• [ ] Griewangk
• [ ] Rastrigin
• [ ] Rosenbrock
• [ ] Schwefel
• [ ] Step
• [ ] Styblinski_tang
• [ ] Brown Function
• [ ] Chung Reynolds Function
• [ ] Cosine Mixture Function
• [ ] Csendes Function
• [ ] Deb 1 Function
• [ ] Deb 3 Function
• [ ] Dixon & Price Function
• [ ] Egg Holder Function
• [ ] Exponential Function
• [ ] Giunta Function

Each function specification can be found in: http://arxiv.org/abs/1308.4008v1

The scope of this issue is parallel implementation using CUDA in the cuda layer.

Important: remember to modify the solution folder structure according to the modifications done in #6 - #7 (create bench folder and namespace).