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TIRx: A Unified Tile Primitive ML Compiler Across Heterogeneous Backends
and-cluster-computingartificial-intelligencedistributedmachine-learningparallelprogramming-languages
Modern ML kernels evolve rapidly with new optimizations and hardware features. ML compiler abstractions must accommodate richer memory hierarchies, more forms of thread cooperation, and increasingly heterogeneous backends while retaining the control required for peak performance. We present TIRx, an
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