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Andrew Lumsdaine, Chief Scientist at Northwest Institute for Advanced Computing, shares his journey in parallelism, from the HPC community’s early skepticism of and eventual move to C++ to build large systems, to his pursuit to develop a series of C++ [See the full post…] |
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Categories: Audio Podcast, Code Together, Intel Tags: C++, deep neural network, DPC++, heterogeneous, high performance computing, hipSYCL, HPC, Intel DevCloud, libraries, Math Kernel Library, MPI, oneAPI, oneDNN, oneMKL, Open Standards, parallel programming, parallelism, portability, Standards, SYCL, Threading Building Blocks, triSYCL
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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