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QuantEcon / lecture-python-programming.myst Public

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ENH: Enable RunsOn GPU support for lecture builds#437

Merged

mmcky merged 20 commits intomainQuantEcon/lecture-python-programming.myst:mainfrom

feature/runson-gpu-supportQuantEcon/lecture-python-programming.myst:feature/runson-gpu-supportCopy head branch name to clipboard

Nov 27, 2025

Conversation Commits20 (20)Checks Files changed

Merged

ENH: Enable RunsOn GPU support for lecture builds#437
mmcky merged 20 commits intomainfrom
feature/runson-gpu-support

Commits

Commits on Nov 27, 2025

Enable RunsOn GPU support for lecture builds
mmcky
committed
Merge branch 'main' into feature/runson-gpu-support
mmcky
authored
DOC: Update JAX lectures with GPU admonition and narrative
mmcky
committed
DEBUG: Add hardware benchmark script to diagnose performance
mmcky
committed
Add multi-pathway benchmark tests (bare metal, Jupyter, jupyter-book)
mmcky
committed
Fix: Add content to benchmark-jupyter.ipynb (was empty)
mmcky
committed
Fix: Add benchmark content to benchmark-jupyter.ipynb
mmcky
committed
Add JSON output to benchmarks and upload as artifacts
mmcky
committed
Fix syntax errors in benchmark-hardware.py
mmcky
committed
Sync benchmark scripts with CPU branch for comparable results
mmcky
committed
ENH: Force lax.scan sequential operation to run on CPU

mmcky
and
HumphreyYang
committed
update note
HumphreyYang
committed
Add lax.scan profiler to CI for GPU debugging
mmcky
committed
Add diagnostic mode to lax.scan profiler
mmcky
committed
Add Nsight Systems profiling to CI
mmcky
committed
address @jstac comment
mmcky
committed
Improve JAX lecture content and pedagogy

jstac
and
claude
committed
Remove benchmark scripts (moved to QuantEcon/benchmarks)
mmcky
committed
Update lectures/numpy_vs_numba_vs_jax.md
mmcky
authored
Add GPU and JAX hardware details to status page
mmcky
committed

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