An Overview | Intel® oneAPI Math Kernel Library (oneMKL) | Intel Software
13The video will introduce you to the Intel® oneAPI Math Kernel Library (oneMKL) - an easy way to accelerate numerical computations with optimized math functions on CPUs and GPUs. It talks about the features of oneMKL and ways to benefit from their performance improvements on the latest hardware. It also covers CUDA*-to-SYCL* code migration with oneMKL SYCL API functions and their open-source code implementations available on GitHub.
In this video Nikita Sanjay Shiledarbaxi, Software Product Marketing Engineer at Intel, provides an overview of the Intel® oneAPI Math Kernel Library (oneMKL). It talks about the benefits for optimized math functions to accelerate HPC applications involving numerical computations on CPUs and GPUs. It covers what all math functionalities are provided by oneMKL and how oneMKL-supported BF16 data type helps you improve the performance of matrix multiplications. It highlights what’s new in oneMKL as compared to its predecessor Intel® Math Kernel Library (MKL) in terms of SYCL* support and enhanced GPU offload. It also talks about easy, automated code migration from vendor-locked CUDA* library math functions to multi-vendor, multiarchitecture supported oneMKL SYCL API functions. You will also learn about leveraging the truly portable, open-source implementations of oneMKL SYCL API routines through the oneMKL Interfaces Library on GitHub.
Landing page: https://intel.ly/48a6YbW
Documentation: https://intel.ly/4buMVrv
GitHub repository (oneMKL code samples): https://bit.ly/48eNh2q
Download oneMKL: https://intel.ly/497YovD
Experiment with oneMKL on Intel® Developer Cloud: https://intel.ly/3uvrCFv
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An Overview | Intel® oneAPI Math Kernel Library (oneMKL) | Intel Software