Stochastic Optimization Boosting and Parallelization in Python
I am looking for a way to increase performance of stochastic optimization in Python.
My SW: i am using basin-hoping method from scipy package on pure python 2.7.6 distribution.
My HW: Core i7 6820HQ mobile platform
Through all solutions i have found IntelPython distribution and pyDAAL library. My questions:
1). Which of above/other techniques and infrastructure enhancements/updates could boost my optimization
sequence with respect to Parallelization?
2). Would pyDAAL or IntelPython distribution vectorize my code existing implementation based on scipy?
3). Which is the best package/library for optimization boosting if i would write new code ?