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Link to SS3 benchmarks
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arni-magnusson committed May 16, 2022
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Two modern laptops, Lenovo P15 Gen 1 (i7-10875H) and Dell Precision 3560
(i7-1165G7), each with a number of VMs. ADMB built from the current
[admb-13.0](https://github.com/admb-project/admb/tree/admb-13.0) branch
(8820af06), compiling models using `admb -f`. The tests (catage and vol) are
from
[admb/examples](https://github.com/admb-project/admb/tree/main/examples/admb):
`catage -mcmc 1e6 -mcsave 1e3` and `nm2vol`.
[admb-13.0](https://github.com/admb-project/admb/tree/admb-13.0) branch (commit
8820af06) with `make -j8`. The
[example](https://github.com/admb-project/admb/tree/main/examples/admb) models
(catage and vol) are built using `admb -f` and then run as `catage -mcmc 1e6
-mcsave 1e3` and `nm2vol`.

The [analysis](analysis.R) of the [results](results.csv) indicates that for
these examples, ADMB 13.0-beta is consistently and considerably slower than ADMB
Expand All @@ -17,3 +17,10 @@ One would hope that ADMB 13.0 will be equally fast as previous versions - or at
least not much slower.

This seems worth looking into before releasing 13.0.

---

*Edit:*

Link to recent [SS3
benchmarks](https://github.com/nmfs-stock-synthesis/stock-synthesis/issues/257#issuecomment-1125039928).

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