From 8b7edd4eaf0d196e674a085f744d1a69260a6c91 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 16 Nov 2023 06:02:05 +0100 Subject: Update pkgdown docs to bootstrap 5 with search --- docs/articles/web_only/compiled_models.html | 216 +++++++++++----------------- 1 file changed, 84 insertions(+), 132 deletions(-) (limited to 'docs/articles/web_only/compiled_models.html') diff --git a/docs/articles/web_only/compiled_models.html b/docs/articles/web_only/compiled_models.html index 1aa88e05..210ddaf7 100644 --- a/docs/articles/web_only/compiled_models.html +++ b/docs/articles/web_only/compiled_models.html @@ -4,144 +4,103 @@ - + + Performance benefit by using compiled model definitions in mkin • mkin - - - + + + - - + - + + Skip to contents -
-
-
-
-

Performance benefit by using compiled model -definitions in mkin

+
+
+

Performance benefit by using compiled model definitions in mkin

Johannes Ranke

-

2023-10-30

+

2023-11-16

Source: vignettes/web_only/compiled_models.rmd - - +
compiled_models.rmd
@@ -216,10 +175,10 @@ solution is also implemented, which is included in the tests below.

print("R package rbenchmark is not available") }
##                    test replications relative elapsed
-## 4            analytical            1    1.000   0.213
-## 3     deSolve, compiled            1    1.418   0.302
-## 2      Eigenvalue based            1    2.000   0.426
-## 1 deSolve, not compiled            1   23.535   5.013
+## 4 analytical 1 1.000 0.109 +## 3 deSolve, compiled 1 1.284 0.140 +## 2 Eigenvalue based 1 1.670 0.182 +## 1 deSolve, not compiled 1 21.927 2.390

We see that using the compiled model is by more than a factor of 10 faster than using deSolve without compiled code.

@@ -250,44 +209,37 @@ compiled code is available.

}
## Temporary DLL for differentials generated and loaded
##                    test replications relative elapsed
-## 2     deSolve, compiled            1    1.000   0.492
-## 1 deSolve, not compiled            1   20.398  10.036
-

Here we get a performance benefit of a factor of 20 using the version +## 2 deSolve, compiled 1 1.000 0.181 +## 1 deSolve, not compiled 1 23.646 4.280 +

Here we get a performance benefit of a factor of 24 using the version of the differential equation model compiled from C code!

This vignette was built with mkin 1.2.6 on

-
## R version 4.3.1 (2023-06-16)
+
## R version 4.3.2 (2023-10-31)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
-## Running under: Ubuntu 22.04.3 LTS

-
## CPU model: Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz

-
-
- - - + - - -- cgit v1.2.1