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Compiling models to megakernels
Standard GPU inference wastes time on kernel launch overhead, uneven work distribution, and memory access delays between operations. Luminal's compiler fuses entire neural network models into single GPU kernels — megakernels — using a dynamic global instruction queue that schedules work across streaming multiprocessors at runtime, eliminating the gaps that conventional approaches leave behind.
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