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    Programming Frameworks for xPU, GPU, and Computational Storage - A Comprehensive Overview

    SNIAVideo0.0
    53 minutes
    English
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    Programming Frameworks for xPU, GPU, and Computational Storage - A Comprehensive Overview

    YouTube·CUDA

    Explore a comprehensive webcast that delves into the evolving landscape of programming frameworks for GPUs, xPUs (including DPUs, IPUs, FACs, NAPUs), and computational storage devices. Learn about various programming frameworks including CUDA, SYCL, OpenCL, and oneAPI for GPUs; DASH, DOCA, OPI, and IPDK for xPUs; and SNIA computational storage API, NVMe TP4091, and FPGA programming shells for computational storage. Understand the strengths, challenges, and market adoption of these frameworks while navigating through essential AI/ML frameworks, core data path frameworks like SPDK and DPDK, and computational storage standards. Gain insights from industry experts from NVIDIA, Intel, Dell, Samsung, and independent consultants as they break down the complex ecosystem of programming software stacks designed to integrate applications with modern processing units.

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