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Bumps [jupyterlab](https://github.com/jupyterlab/jupyterlab) from 4.2.2 to 4.2.5. - [Release notes](https://github.com/jupyterlab/jupyterlab/releases) - [Changelog](https://github.com/jupyterlab/jupyterlab/blob/@jupyterlab/lsp@4.2.5/CHANGELOG.md) - [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/lsp@4.2.2...@jupyterlab/lsp@4.2.5) --- updated-dependencies: - dependency-name: jupyterlab dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
…erlab-4.2.5 Bump jupyterlab from 4.2.2 to 4.2.5 in /notebooks
Added new checks for spatter-devel branch
Updating the GitHub workflow to run on push and pull_request
Update build-serial-omp.yml
Updates to fix GPU Stream tests, Kernel Validation
Added an initial contributing guide to the repo.
Fix badge issue with README
Update Authors
Update Release Notes
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Looks like I need to clean up the commit history. |
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Overview
This PR adds support for a new kernel which replays a DynamoRio trace in Spatter.
✨ Change Description/Rationale
This PR adds a new kernel, trace replay. Existing Spatter kernels are very restrictive on the read/write mix, either all read, all write, or a roughly 50/50 split. This new mode reads in a DynamoRio trace and adds the address information to one buffer, and the read/write information to another. When the kernel runs, the kernel will decide if each access is a read or a write dependent on this trace.
To use the new kernel, specify it with
-k traceon the command line. A trace file must also be given with--tracefile.👀 Reviewer Checklist
✅ PR Checklist
spatter-devel🚀 TODOs
trace-replay/folder (this folder was for prototyping)📌 Future Work