DOCS . JAX . DEV {}

Matching Content Categories {📚}

• Technology & Computing
• Video & Online Content
• Mobile Technology & AI

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Custom-built

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🚀 Good Traffic: 50k - 100k visitors per month


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Keywords {🔍}

sram, kernel, pipelining, memory, pallas, output, pipeline, hbm, grid, loop, compute, buffer, buffers, values, function, jaxarray, block, registers, result, def, copyinstarta, copyoutwaity, data, copy, iteration, itr, copyinwaitx, copyoutstarty, time, tpu, api, input, bandwidth, jax, computation, operations, size, pallascall, return, writing, problem, typically, processor, latency, store, lets, blockshape, oref, performance, blockspecs,

Topics {✒️}

mosaic gpu pipelining platform-specific pipelining documentation mosaic gpu backends double-buffered pipeline compilation exporting single device errors inside iteration ahead modern ml accelerators pallas call experimental import pallas platform-specific references overlapping asynchronous communication l1 cache pallas exposes access supports double-buffering �steady-state” phase floating-point-operations cover distributed pipelining main entry point memory physically closest memory scales quadratically general pipelining approaches steady-stage stage pallas quickstart l2 cache performs pipelined execution simple neural network actual computation happening shared memory/l1 communication-compute pipelining potentially network communication memory-bound regime fake data dependency pallas api final teardown time jax import numpy multi-stage pipeline gpu/tpu allocate scratch buffers achieve full utilization respective element type staleness issues encountered multiple-buffering technique pipelining api maintaining multiple buffers moderately sized arrays pallas kernels compute scales cubically typically blocking operations

Questions {❓}

• How can we take advantage of the strengths of each form of type memory in the hierarchy, and be able to operate on large arrays stored in HBM while still utilizing fast SRAM for compute?
• What is the performance of a pipelined kernel?

External Links {🔗}(1)

• Earnings of https://github.com/jax-ml/jax

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• Bootstrap
• Clipboard.js
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