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CosmoFlow: Using Deep Learning to Learn the Universe at Scale
2018
SC18: International Conference for High Performance Computing, Networking, Storage and Analysis
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow: a highly scalable deep learning application built on top of the TensorFlow framework. CosmoFlow uses efficient implementations of 3D convolution and pooling primitives, together with improvements in threading for many element-wise operations, to improve training performance on Intel ® Xeon Phi™ processors. We also
doi:10.1109/sc.2018.00068
fatcat:sd35wm56z5eylot7oxtceck3li