DOCS . JAX . DEV {
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Title:
Mosaic GPU Pipelining — JAX documentation
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Keywords {🔍}
gpu, pipeline, memory, grid, pallas, wgmma, tilen, kernel, mosaic, pipelining, matrix, smem, thread, warp, compute, tilem, plgpukernel, multiplication, jax, cuda, plpallascall, specialization, iteration, registers, def, tilek, api, ref, tensorcore, accumulator, jnpfloat, threads, values, function, import, plgpuemitpipeline, sequential, parallel, emitpipeline, plgpublockspec, transforms, maxconcurrentsteps, delayrelease, argument, instruction, order, plprogramid, carry, run, specifies,
Topics {✒️}
additional gpu-specific options gpu-specific memory transformations standard double-buffered strategy compilation exporting overlap tensorcore computation mosaic gpu pipelining read software pipelining mosaic gpu backend pallas import mosaic_gpu tensorcore computation alu-heavy kernels initial carry values gpu-specific transforms silent data races runtime concurrent memory transfers experimental import pallas pallas thread index simple neural network additional concurrent steps achieve higher occupancy single memory thread jax import numpy gpu-specific plgpu array indexing syntax previous matrix multiplication thread/warpgroup axis mosaic gpu memory reference transforms hold temporary buffers single instruction stream experience slowdowns due warp-specialized version array indexing operations jax import lax blockwise matrix multiplication actual matrix multiplication kernel entry point hardware taking care pallas tpu lower smem usage memory spaces pl import numpy pipeline helper handles hopper-specific wgmma entire contracting dimension warpgroups performing arithmetic pallas thread pipelining api warp specialized pipeline
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