- From: Kai Ninomiya <kainino@google.com>
- Date: Sat, 18 Apr 2020 15:30:39 -0700
- To: Rob Conde <jaha84@gmail.com>
- Cc: public-gpu <public-gpu@w3.org>
- Message-ID: <CANxMeyBfWAaOhW1Ff7Uqgm2wPh9KGWeV39+-=+cJ=6vdD7kQWw@mail.gmail.com>
crbug.com/new Component: Blink>WebGPU if you can set it, but please just email me the bug link once filed. Thanks! On Sat, Apr 18, 2020, 3:12 PM Rob Conde <jaha84@gmail.com> wrote: > Thanks for that clarification. Would it be useful for me to add an issue > for the overhead? If so, which bug tracker would be appropriate. > > Rob > > On Apr 18, 2020, at 5:51 PM, Kai Ninomiya <kainino@google.com> wrote: > > > Yes, the spec will support single device with many workers and many > canvases. The GPUDevice and other objects will be cloneable. > > But we do not have any support in Chrome yet for multiple workers, and for > that matter I'm not sure if multi-canvas is tested, so we should test to > make sure we don't break it. > > I'm surprised the per-device overhead is so high; I don't think it should > be. I guess we have something else to investigate there. > > On Sat, Apr 18, 2020, 2:31 PM Robert Conde <jaha84@gmail.com> wrote: > >> Using chrome canary, I've been playing with using multiple webgpu >> canvases in the same page. If I make a separate get adapter/device call for >> each canvas it has a very high overhead (at least on Windows the gpu >> process was 1.7 GB for 20 canvases each drawing a single triangle). Using a >> single shared device across all canvases works and greatly alleviates the >> problem.It also made initialization of each canvas significantly faster. >> >> As of now offscreen canvas support for webgpu is not implemented in >> chrome (https://bugs.chromium.org/p/chromium/issues/detail?id=1064109). >> However, I was setting up a demo just to confirm this was still broken and >> to have a test to periodically try. I found that I would get a "GPUDevice >> object could not be cloned." error trying to pass the GPUDevice to the >> worker. The GPUDevice can't be passed to transfer because it's not >> transferable (but this seemed like the wrong thing to do anyhow). >> >> So mainly what I'm trying to understand is whether sharing a single >> device instance with multiple workers is meant to be supported somehow from >> a webgpu perspective. >> >> Thanks, >> Rob Conde >> >
Attachments
- application/pkcs7-signature attachment: S/MIME Cryptographic Signature
Received on Saturday, 18 April 2020 22:31:09 UTC