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clone copies on the device, and a CPU read waits per buffer
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cuda: the wave plan's single-fill layer count is computed as long, so…
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cleanup: a fused dot bias is owed until the gemm takes it and the one…
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cleanup: the one-input GPU dispatches share their gate and encode, de…
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cuda: device_read_ keeps its blocking copy inside a graph capture
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cleanup: the two sgemm cores share their tiling, the tile table owns …
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array: the eval epilogue's affine runs on the GPU before falling back…
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cuda: a cp.async-pipelined 128x128 sgemm replaces the register-staged…
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cpu: gemm splits N for short activations, the pool balances dynamical…
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array: one pool-parallel elementwise driver; sgemm_ packs stop re-zer…
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array: softmax on the CPU spreads its rows across the thread pool
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cuda: split-K plan as one function; census toggles the launch mode in…
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cuda: split-K sized by the grid's fill, and through the affine epilogue
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array: causal prefill attention on the CPU runs as parallel query tiles
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cuda: batched dot in one launch, the batch folded into the gemm grid
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array: batched dot keeps its epilogue on-device; causal prefill gets …
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array: batched dot takes transposed slices and any batch strides
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array: dedup the prefill attention paths against their decode twins
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array: causal prefill attention as an op, fused on CUDA
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auto: derive the matmul crossover and the thread floor on the host
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cuda: take transposed operands on the register-blocked sgemm
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misc: census the pool's round trip and the gemm operand layouts
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cuda: re-census the auto thresholds against the unburdened CPU gemm
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index ops: check a label before either backend indexes with it
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tools: add a CUDA/Metal/WebGPU backend parity checker
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