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A New Lens on Multi-GPU Communication: API-Level Memory Models for Portable Optimization
As network communication increasingly becomes a performance bottleneck for ML and HPC workloads, it is more important than ever to optimize multi-GPU data transfers. Recently, low-level device APIs have emerged that allow programmers to perform fine-grain optimizations via one-sided put/get operatio
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