Thursday, February 15, 2018
LIT, r.310
P.V. Goncharov, M.A. Matveev
(State Technical University of Gomel, Republic of Belarus), (JINR)

Using HybriLIT cluster to speed up the calculations for machine learning tasks

In past decades the topic of se lf-learning algorithms, such as deep neural networks, has gained popularity. The idea appeared in the 50s of the past decade, but hardware and software was anobstacle to research.Appearance of parallel computing systems and frameworks such as TensorFlow, Theano and Caffe, providing parallelization at the libraries level, allowed to accelerate time of learning and inference in dozens of times when using modern graphic accelerator and CUDA technology.