A Wednesday 21 October 2009 07:44:39 Mathieu Blondel escrigué: > Hello, > > About one year ago, a high-level, objected-oriented SIMD API was added > to Mono. For example, there is a class Vector4f for vectors of 4 > floats and this class implements methods such as basic operators, > bitwise operators, comparison operators, min, max, sqrt, shuffle > directly using SIMD operations. [clip]
It is important to stress out that all the above operations, except probably sqrt, are all memory-bound operations, and that implementing them for numpy would not represent a significant improvement at all. This is because numpy is a package that works mainly with arrays in an element-wise way, and in this scenario, the time to transmit data to CPU dominates, by and large, over the time to perform operations. Among other places, you can find a detailed explication of this fact in my presentation at latest EuroSciPy: http://www.pytables.org/docs/StarvingCPUs.pdf Cheers, -- Francesc Alted _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
