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| # | |
| # cpu-tuning.R, 19 Aug 16 | |
| # | |
| # Data from: | |
| # Software knows best: A case for hardware transparency and measureability | |
| # Bird | |
| # | |
| # Example from: | |
| # Empirical Software Engineering using R | |
| # Derek M. Jones | |
| source("ESEUR_config.r") | |
| library("lattice") | |
| cpu_perf=read.csv(paste0(ESEUR_dir, "benchmark/bird_perf-port.csv.xz"), as.is=TRUE) | |
| perf_27=subset(cpu_perf, Points == 27) | |
| perf_27$Points=NULL | |
| rownames(perf_27)=perf_27$CPU | |
| perf_27$CPU=NULL | |
| # add_value=function() | |
| # { | |
| # t=expand.grid(1:6, 1:5) | |
| # text(t, labels=as.vector(t(as.matrix(perf_27))), cex=2.0) | |
| # } | |
| # | |
| # | |
| # par(omi=c(0.1, 0.00, 0.00, 0.4)) | |
| # | |
| # It is possible to get heatmap to produce something reasonable | |
| # brew_col=rainbow_hcl(5) | |
| # | |
| # heatmap(as.matrix(perf_27), Rowv=NA, Colv=NA, RowSideColors=brew_col, col=brew_col, | |
| # add.expr=add_value()) | |
| perf_27=as.matrix(perf_27) | |
| perf_27=t(perf_27) | |
| t=levelplot(perf_27, | |
| # col.regions=rainbow(100, end=0.9), | |
| # Not as garish | |
| col.regions=rainbow_hcl(100), | |
| scales=list(x=list(cex=0.70, rot=25), y=list(cex=0.65)), | |
| colorkey=NULL, # Numeric values remove the need for legend | |
| xlab="Tuned for", ylab="Executed on", | |
| panel=function(...) | |
| { | |
| panel.levelplot(...) | |
| panel.text(1:6, rep(1:5, each=6), perf_27, cex=0.65) | |
| }) | |
| plot(t, panel.height=list(3.8, "cm"), panel.width=list(4.2, "cm")) | |