The goal of the N-Body problem is to predict the motion of a set of n objects interacting with each other by some force, e.g. the gravitational force. N-Body simulations have been used in particles simulation such as astrophysical and molecular dynamics simulations. There are a number of approaches for solving the N-Body problem, such as the Barnes-Hut algorithm, the Fast Multipole method, the...
This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Eduardo H. M. Cruz, Matheus S. Serpa, Arthur M. Krause, Philippe O. A. Navaux