From 01d9de6ff165c64ffc4366f2eeb3d2649b5c74c0 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Mon, 22 Jun 2015 06:09:00 +0200 Subject: Version bump, correct benchmark in vignette/compiled_models Reorganisation of the vignette generation in the Makefile. Improved YAML header in the R markdown vignettes. Rebuilt vignettes with the package installed. --- vignettes/compiled_models.Rmd | 47 ++++++++++++++++++++++++++----------------- 1 file changed, 29 insertions(+), 18 deletions(-) (limited to 'vignettes/compiled_models.Rmd') diff --git a/vignettes/compiled_models.Rmd b/vignettes/compiled_models.Rmd index 3b24acbb..9aa8b133 100644 --- a/vignettes/compiled_models.Rmd +++ b/vignettes/compiled_models.Rmd @@ -1,34 +1,41 @@ --- -title: "Performance benefit by using compiled model definitions in mkin" +title: "`r (vignette_title <- 'Performance benefit by using compiled model definitions in mkin')`" +author: "Johannes Ranke" +date: "`r Sys.Date()`" output: html_document: css: mkin_vignettes.css toc: true mathjax: null theme: united +vignette: > + %\VignetteIndexEntry{`r vignette_title`} + %\VignetteEngine{knitr::rmarkdown} + \usepackage[utf8]{inputenc} --- - ```{r, include = FALSE} library(knitr) opts_chunk$set(tidy = FALSE, cache = TRUE) ``` -# Benchmark for a model that can also be solved with Eigenvalues +## Benchmark for a model that can also be solved with Eigenvalues This evaluation is taken from the example section of mkinfit. When using an mkin version equal to or greater than 0.9-36 and a compiler (gcc) is installed, you will see a message that the model is being compiled from autogenerated C code when -defining a model using mkinmod. +defining a model using mkinmod. The package tests for presence of the gcc compiler using + +```{r check_gcc} +Sys.which("gcc") +``` +First, we build a simple degradation model for a parent compound with one metabolite. ```{r create_SFO_SFO} library("mkin") SFO_SFO <- mkinmod( - parent = list(type = "SFO", to = "m1", sink = TRUE), - m1 = list(type = "SFO")) + parent = mkinsub("SFO", "m1"), + m1 = mkinsub("SFO")) ``` We can compare the performance of the Eigenvalue based solution against the @@ -36,11 +43,7 @@ compiled version and the R implementation of the differential equations using the microbenchmark package. -```{r benchmark_SFO_SFO, echo=-(1:2)} -# Redefining the model, in order not to confuse the knitr cache which leads to segfaults -suppressMessages(SFO_SFO <- mkinmod( - parent = list(type = "SFO", to = "m1", sink = TRUE), - m1 = list(type = "SFO"))) +```{r benchmark_SFO_SFO} library("microbenchmark") mb.1 <- microbenchmark( mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", use_compiled = FALSE, @@ -63,14 +66,14 @@ iterative solution of the ODEs: smb.1["median"]/smb.1["deSolve, compiled", "median"] ``` -# Benchmark for a model that can not be solved with Eigenvalues +## Benchmark for a model that can not be solved with Eigenvalues This evaluation is also taken from the example section of mkinfit. ```{r benchmark_FOMC_SFO} FOMC_SFO <- mkinmod( - parent = list(type = "FOMC", to = "m1", sink = TRUE), - m1 = list(type = "SFO")) + parent = mkinsub("FOMC", "m1"), + m1 = mkinsub( "SFO")) mb.2 <- microbenchmark( mkinfit(FOMC_SFO, FOCUS_2006_D, use_compiled = FALSE, quiet = TRUE), @@ -80,10 +83,18 @@ smb.2 <- summary(mb.2)[-1] rownames(smb.2) <- c("deSolve, not compiled", "deSolve, compiled") print(smb.2) smb.2["median"]/smb.2["deSolve, compiled", "median"] - ``` Here we get a performance benefit of a factor of `r round(smb.2["deSolve, not compiled", "median"]/smb.2["deSolve, compiled", "median"], 1)` using the version of the differential equation model compiled from C code using the inline package! + +This vignette was built with mkin `r packageVersion("mkin")` on + +```{r sessionInfo, echo = FALSE} +cat(capture.output(sessionInfo())[1:3], sep = "\n") +if(!inherits(try(cpuinfo <- readLines("/proc/cpuinfo")), "try-error")) { + cat(gsub("model name\t: ", "CPU model: ", cpuinfo[grep("model name", cpuinfo)[1]])) +} +``` -- cgit v1.2.1