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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
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In this episode of Code Together, Geoff Lowney, Senior Fellow at Intel, and Andrew Richards, CEO at Codeplay Software, discuss the value of standards in enabling hardware and software developers to collaborate and innovate. From the early days of video [See the full post…] |
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Categories: Artificial Intelligence, Audio Podcast, Code Together, Intel Tags: Accelerators, AI, artificial intelligence, C++, compilers, compute-intensive, CPU, CUDA, data parallel, data-intensive, developers, exascale, Geoff Lowney, GPU, high performance computing, HPC, Khronos, Khronos Group, LLVM, NVIDIA, oneAPI, Open Source, OpenCL, parallel programming, parallelism, Standards, SYCL
Categories: Artificial Intelligence, Audio Podcast, Code Together, Intel Tags: Alice Chan, Argonne National Lab, artificial intelligence, C++, Compiler Engineering, Compiler Technology, cross-architecture, CUDA, developers, DPC++, GPU, Hal Finkel, hardware abstraction, heterogeneous, Khronos, machine learning, oneAPI, Programming Languages, programming portability, SYCL
