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v2.0.1: download traces from GitHub release assets, and release notes #567

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6ec3a0f
Download pre-collected traces from GitHub release assets instead of t…
JRPan Oct 17, 2026
5e22170
Add a trace publishing script and put the NCU CSV next to each trace set
JRPan Oct 20, 2026
97b3352
Add v2.0.1 release notes and bump the citation version
JRPan Oct 20, 2026
1a3cbae
Publish and download traces in the standard Accel-Sim layout
JRPan Oct 20, 2026
75f17b5
Move the trace publishing script out of the repository
JRPan Oct 20, 2026
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2 changes: 1 addition & 1 deletion CITATION.cff
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Expand Up @@ -26,7 +26,7 @@ message: >-
type: software
url: "https://accel-sim.github.io/"
repository-code: "https://github.com/accel-sim/accel-sim-framework"
version: "2.0"
version: "2.0.1"
# CFF requires a top-level `authors` key, so Accel-Sim is credited here as a single
# entity rather than an enumerated list -- the project has many contributors beyond any
# one paper's author list. See the GitHub contributors page for individual credit.
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10 changes: 8 additions & 2 deletions README.md
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Expand Up @@ -396,10 +396,16 @@ To disable it entirely, pass `--spinlock_handling none`:
The detection tool lives in [`./util/tracer_nvbit/others/spinlock_tool/`](./util/tracer_nvbit/others/spinlock_tool/).

**Pre-traced applications.**
To fetch a repository of pre-collected traces:
Pre-collected traces are published as GitHub release assets, one tar per GPU / workload / argument set, split into parts under 2 GB with SHA-256 checksums in the release's `manifest.json`.
To list, download, verify and extract them under `./hw_run/<GPU>/` in the standard layout (`traces/device-0/<cuda>/<workload>/<args>/traces/` plus the Nsight Compute stats in `device-0/<cuda>/<workload>/<args>/`):
```bash
./get-accel-sim-traces.py
./get-accel-sim-traces.py -l # list what is available
./get-accel-sim-traces.py -a H200/inference_bert.sh/32_256 # one argument set
./get-accel-sim-traces.py -a H200/inference_sdxl.sh,H200/all # GPU[/workload[/args]], 'all' at any level
```
Pass `-T ./hw_run/<GPU>/traces/device-0/<cuda>` to `run_simulations.py` and `-H ./hw_run/<GPU>` to `plot-correlation.py`.
The release's `README.md` lists every set and how to download one by hand.
Downloading from a private repository needs `GITHUB_TOKEN` or a `gh auth login` session.

### SASS Frontend and Simulation Engine

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