Deep Learning at 15 Petaflops from Intel and partners
An Arxiv paper, presents the first, 15-PetaFLOP Deep Learning system for solving scientific pattern classification problems on contemporary HPC architectures. Intel researchers and parters developed supervised convolutional architectures for discriminating signals in high-energy physics data as well as semi-supervised architectures for localizing and classifying extreme weather in climate data. Our Intelcaffe based implementation obtains ∼2TFLOP/s …