files/en-us/web/api/gpuqueue/index.md
{{APIRef("WebGPU API")}}{{SecureContext_Header}}{{AvailableInWorkers}}
The GPUQueue interface of the {{domxref("WebGPU API", "WebGPU API", "", "nocode")}} controls execution of encoded commands on the GPU.
A device's primary queue is accessed via the {{domxref("GPUDevice.queue")}} property.
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GPUQueue at the point the method is called has been processed.In our basic render demo, we define some vertex data in a {{jsxref("Float32Array")}} that we'll use to draw a triangle:
const vertices = new Float32Array([
0.0, 0.6, 0, 1, 1, 0, 0, 1, -0.5, -0.6, 0, 1, 0, 1, 0, 1, 0.5, -0.6, 0, 1, 0,
0, 1, 1,
]);
To use this data in a render pipeline, we need to put it into a {{domxref("GPUBuffer")}}. First we'll create the buffer:
const vertexBuffer = device.createBuffer({
size: vertices.byteLength, // make it big enough to store vertices in
usage: GPUBufferUsage.VERTEX | GPUBufferUsage.COPY_DST,
});
To get the data into the buffer we can use the {{domxref("GPUQueue.writeBuffer", "writeBuffer()")}} function, which lets the user agent determine most efficient way to copy the data over:
device.queue.writeBuffer(vertexBuffer, 0, vertices, 0, vertices.length);
Later on, a set of commands is encoded into a {{domxref("GPUCommandBuffer")}} using the {{domxref("GPUCommandEncoder.finish()")}} method. The command buffer is then passed into the queue via a {{domxref("GPUQueue.submit", "submit()")}} call, ready to be processed by the GPU.
device.queue.submit([commandEncoder.finish()]);
[!NOTE] Study the WebGPU samples to find more queue examples.
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