To HPC and AI analytics engineers, math primitives like BLAS or RNG are key functionality that have highly optimized implementations for different CPUs, GPUs, and other accelerators. However, developers must deal with different programming models and interfaces provided by various hardware vendors due to a lack of industry-standard interfaces for math primitives. This tech talk will introduce the DPC++-based interfaces for math primitives as a viable approach for bridging the cross-platform performance portability gap for math primitives across various HPC architectures.

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