Memetic Algorithms represent one of the most promising implementation of Evolutionary Algorithms. Their strength resides in the ability to exploit stochastic and deterministic optimization methods at the same time. A Memetic Algorithm has been applied to the phase retrieval problem in the field of Coherent Diffraction Imaging, called Memetic Phase Retrieval; it represents a significant improvement in the imaging of matter via coherent diffraction experiments. Memetic Phase Retrieval requires the latest High Performance Computing resources, due to the high dimensionality of the problem and the involvement of the Fourier Transform: an efficient parallel implementation, able to fully exploit multi-core and multi-node hardware, is needed. The implementation of Memetic Phase Retrieval, which exploits the hybrid OpenMP/MPI parallel programming paradigm, along with MPI Remote Memory Access communications, is presented. Its scaling performances on the recent Intel's Knights Landing hardware are shown.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org