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Existing math kernel libraries have lacked portability across heterogeneous platforms—until now. A unifying programming model—and availability of standard library interfaces—enables development of performance-portable libraries among diverse hardware architectures. In this episode, Julia Sukharina, Senior Engineering Manager at Intel, and Mehdi [See the full post…] |
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Categories: Audio Podcast, Code Together, Intel Tags: BLAS, C++, Codeplay Software, compute-intensive, CuBLAS, CUDA, Data Parallel C++, data-intensive, developers, DPC++, GPU, heterogeneous, Intel Math Kernel Library, Julia Sukharina, libraries, linear algebra, math, math libraries, Mehdi Goli, MKL, NVIDIA, oneMKL, OpenCL, SYCL
Categories: Artificial Intelligence, Audio Podcast, Intel, Intel on AI Tags: AI, artificial intelligence, deep learning, GCNN, graph convolutional deep neural networks, Intel Math Kernel Library, Intel Xeon Scalable processors, machine learning, Minds.ai, MKL, MPP, natural language processing, Netrin Molecular Property Predictor, neural networks, Sumit Sanyal, Supercomputing
Categories: Artificial Intelligence, Audio Podcast, Intel, Intel Chip Chat Tags: AI Application Performance, Allyson Klein, artificial intelligence, Audio Podcast, Caffe, Chip Chat, deep learning, Deep Neural Networks, Dr. Andres Rodriguez, Intel, Intel Math Kernel Library, Intel MKL-DNN, Intel Xeon Processors, MXNet, Pytorch, TensorFlow
Categories: Audio Podcast, Intel, Intel Chip Chat Tags: Allyson Klein, Audio Podcast, Chip Chat, Deep Neural Networks, Dr. Pradeep Dubey, Intel, Intel Labs, Intel Math Kernel Library, Intel MKL-DNN, Intel Xeon Processors, machine learning
Categories: Audio Podcast, Big Data, Intel, Intel Chip Chat Tags: algorithmic innovation, Allyson Klein, Audio Podcast, Chip Chat, deep learning, Intel, Intel Math Kernel Library, Intel Xeon Phi, Joe Spisak, machine learning, scale compute