Preparing for Tomorrow: Future GPU Programming Strategies

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As GPU architectures broaden in scope, ranging from long-established players like NVIDIA to newer alternatives from AMD and Intel, developers increasingly are pursing programming approaches that allow for code portability. In addition, the ongoing evolution in GPU-based computing now encompasses not just traditional GPU architectures from vendors including like NVIDIA, AMD, and Intel, but also specialized architectures including Cerebras’ Wafer-Scale Engine (WSE), Graphcore’s Intelligence Processing Unit (IPU), and Google’s Tensor Processing Unit (TPU).