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Jammy2211 merged 2 commits into from
Aug 28, 2026
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docs: tutorial 8 — numba remains the CPU route for pixelized sources (#506) #75

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docs: tutorial 8 — numba remains the CPU route for pixelized sources …
Aug 28, 2026
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docs: regenerate navigator catalogue for the tutorial 8 cross-ref (#506)
Aug 28, 2026
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5 changes: 4 additions & 1 deletion scripts/chapter_2_lens_modeling/tutorial_8_need_for_speed.py
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Expand Up @@ -110,7 +110,10 @@

Long-time users may remember that **PyAutoLens** previously used `numba`, which recompiles individual Python
functions into fast machine code. JAX supersedes it: rather than accelerating functions one at a time, it compiles
and optimizes the likelihood function end-to-end, and adds GPU support and batching on top.
and optimizes the likelihood function end-to-end, and adds GPU support and batching on top. The one exception is
pixelized-source modeling on a CPU, where the `numba` sparse-operator path (see
`autolens_workspace/scripts/imaging/features/pixelization/cpu_fast_modeling.py`, and chapter 3) remains the faster
route on many-core machines.

Therefore, **PyAutoLens** is pretty well optimized and there are no 'low hanging fruit' speed ups available by
writing the code in a different language.
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1 change: 1 addition & 0 deletions workspace_index.json
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Expand Up @@ -373,6 +373,7 @@
"Wrap Up"
],
"cross_refs": [
"autolens_workspace/scripts/imaging/features/pixelization/cpu_fast_modeling.py",
"chapter_optional/tutorial_searches.py"
],
"notebook": "notebooks/chapter_2_lens_modeling/tutorial_8_need_for_speed.ipynb",
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