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WebGPU · 19 Workgroup Shared Memory

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Stage: Compute and Data Movement · Editable example · Storage ID: webgpu-step-19

Goals and learning outcomes

Prerequisites

Continue using the output and notes from unit 18. Preserve the previous inputs and reference outputs before the Workgroup Shared Memory experiment.

Key concepts and explanations

Sharing Scope

var is shared by invocations in the same workgroup. Different workgroups cannot communicate through this memory.

Synchronization

Use workgroupBarrier to synchronize writes at that stage before reading shared values. The entire workgroup must reach the barrier in uniform control flow.

Practice setup

First read the execution-scope guidance on the example screen. The following preparation is for extending the assignment in a separate project. This is a document-guided exercise to implement yourself in a separate localhost or HTTPS project. Check the secure context, navigator.gpu, and adapter request result, and provide an unsupported-environment message. Preserve device.lost handling and resource release.

The linked example is a starting point. It does not implement every task below. Complete work beyond its supported scope in a separate project.

Practice tasks

  1. In reduce.wgsl, write a partial-sum kernel that places 64 values in a workgroup array.
  2. Have out-of-range lanes write 0 and participate in the barrier too.
  3. For N=65, sum the two partial sums on the CPU and compare with the full sum.

Variables to observe

VariableBaselineChangeExpected change / hypothesis
Length6465Empty lanes in the second group are expected to participate with 0, producing the correct sum.

Predictions in this table are not measured results. Change one condition at a time and record why the actual result differs.

Completion criteria

Self-check

  1. Does a barrier synchronize the entire dispatch?
  2. Why fill out-of-range lanes with 0?

Official references

Linked example and execution scope

Example source · Runtime environments and limits

Runs real WebGPU/WGSL. Requires HTTPS/localhost and a supported adapter; unsupported environments display a reason, and CPU results are not substituted for GPU results.

Source code and records are not overwritten automatically. Resetting an existing example also preserves your notes.

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Previous: Copy Alignment and Texture Rows · Next: Rendering Compute Results

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