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Torch-PIM: Automated Profile-Guided PIM Offloading for PyTorch
Modern deep learning (DL) workloads are limited by data movement, and processing-in-memory (PIM) targets this bottleneck by placing compute units near the memory. However, PyTorch and other DL frameworks lack compiler support for making this decision on the code they lower: existing offloading frame
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