commit | ad38d75ec99d4038e5877907d5eb7ff30fc3515f | [log] [tgz] |
---|---|---|
author | Jim Blackler <jimblackler@google.com> | Thu Jul 11 16:11:45 2024 +0000 |
committer | Dawn LUCI CQ <dawn-scoped@luci-project-accounts.iam.gserviceaccount.com> | Thu Jul 11 16:11:45 2024 +0000 |
tree | 4379e4e04519d2eeb2031bd02da14fbb8f2e57ae | |
parent | 8d71d3fcaa426b972af60deb7db799c7e510cfc9 [diff] |
Use @FastNative for JNI methods. This is Romain's suggestion. https://developer.android.com/reference/dalvik/annotation/optimization/FastNative I have not been able to measure a significant impact, but everything appears to work the same so there seems little reason not to. Bug: 345442759 Change-Id: I3ee2b1c643f4086d10cbdd36028882c311b5ebad Reviewed-on: https://dawn-review.googlesource.com/c/dawn/+/196794 Commit-Queue: Jim Blackler <jimblackler@google.com> Reviewed-by: Corentin Wallez <cwallez@chromium.org>
Dawn is an open-source and cross-platform implementation of the WebGPU standard. More precisely it implements webgpu.h
that is a one-to-one mapping with the WebGPU IDL. Dawn is meant to be integrated as part of a larger system and is the underlying implementation of WebGPU in Chromium.
Dawn provides several WebGPU building blocks:
webgpu.h
version that Dawn implements.webgpu.h
.Helpful links:
Developer documentation:
User documentation: (TODO, figure out what overlaps with the webgpu.h docs)
BSD 3-Clause License, please see LICENSE.
This is not an officially supported Google product.