forked from rarias/bscpkgs
		
	
		
			
				
	
	
		
			94 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			R
		
	
	
	
	
	
			
		
		
	
	
			94 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			R
		
	
	
	
	
	
| library(ggplot2)
 | |
| library(dplyr, warn.conflicts = FALSE)
 | |
| library(scales)
 | |
| library(jsonlite)
 | |
| library(viridis, warn.conflicts = FALSE)
 | |
| 
 | |
| # Load the arguments (argv)
 | |
| args = commandArgs(trailingOnly=TRUE)
 | |
| if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
 | |
| 
 | |
| df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
 | |
|   jsonlite::flatten() %>%
 | |
|   select(config.blocksize, config.gitBranch, config.numNodes, unit, time) %>%
 | |
|   rename(nodes = config.numNodes, blocksize=config.blocksize, branch=config.gitBranch) %>%
 | |
| 
 | |
|   mutate(blocksize = as.factor(blocksize)) %>%
 | |
|   mutate(nodes = as.factor(nodes)) %>%
 | |
|   mutate(branch = as.factor(branch)) %>%
 | |
|   mutate(unit = as.factor(unit)) %>%
 | |
| 
 | |
|   group_by(unit) %>%
 | |
| 
 | |
|   mutate(median.time = median(time)) %>%
 | |
|   mutate(normalized.time = time / median.time - 1) %>%
 | |
|   mutate(log.median.time = log(median.time)) %>%
 | |
| 
 | |
|   ungroup()
 | |
| 
 | |
| dpi = 300
 | |
| h = 5
 | |
| w = 8
 | |
| 
 | |
| # ---------------------------------------------------------------------
 | |
| 
 | |
| p = ggplot(df, aes(x=nodes, y=median.time, color=branch)) +
 | |
|   geom_point() +
 | |
|   geom_line(aes(group=branch)) +
 | |
|   theme_bw() +
 | |
|   labs(x="Nodes", y="Median time (s)", title="NBody Scaling: Median Time", 
 | |
|     subtitle=input_file) + 
 | |
|   theme(plot.subtitle=element_text(size=5)) +
 | |
|   theme(legend.position="bottom") +
 | |
|   theme(legend.text = element_text(size=7))
 | |
| 
 | |
| ggsave("median.time.png", plot=p, width=w, height=h, dpi=dpi)
 | |
| ggsave("median.time.pdf", plot=p, width=w, height=h, dpi=dpi)
 | |
| 
 | |
| # ---------------------------------------------------------------------
 | |
| 
 | |
| p = ggplot(df, aes(x=nodes, y=normalized.time, color=branch)) +
 | |
|   geom_boxplot() +
 | |
|   geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") +
 | |
|   facet_wrap(~ branch) +
 | |
|   theme_bw() +
 | |
|   labs(x="Nodes", y="Normalized time (s)", title="NBody Scaling: Normalized Time", 
 | |
|     subtitle=input_file) + 
 | |
|   theme(plot.subtitle=element_text(size=5)) +
 | |
|   theme(legend.position="bottom") +
 | |
|   theme(legend.text = element_text(size=7))
 | |
| 
 | |
| ggsave("normalized.time.png", plot=p, width=w, height=h, dpi=dpi)
 | |
| ggsave("normalized.time.pdf", plot=p, width=w, height=h, dpi=dpi)
 | |
| 
 | |
| # ---------------------------------------------------------------------
 | |
| 
 | |
| p = ggplot(df, aes(x=nodes, y=time, color=branch)) +
 | |
|   geom_point(shape=21, size=3) +
 | |
|   theme_bw() +
 | |
|   labs(x="Nodes", y="Time (s)", title="NBody Scaling: Time", 
 | |
|     subtitle=input_file) + 
 | |
|   theme(plot.subtitle=element_text(size=5)) +
 | |
|   theme(legend.position="bottom") +
 | |
|   theme(legend.text = element_text(size=7))
 | |
| 
 | |
| ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
 | |
| ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)
 | |
| 
 | |
| 
 | |
| # ---------------------------------------------------------------------
 | |
| 
 | |
| p = ggplot(df, aes(x=nodes, y=branch, fill=median.time)) +
 | |
|   geom_raster() + 
 | |
|   scale_fill_viridis(option="plasma") +
 | |
|   coord_fixed() +
 | |
|   theme_bw() +
 | |
|   labs(x="Nodes", y="Branch", title="NBody Scaling: Time", 
 | |
|     subtitle=input_file) + 
 | |
|   theme(plot.subtitle=element_text(size=5)) +
 | |
|   theme(legend.position="bottom") +
 | |
|   theme(legend.text = element_text(size=7))
 | |
| 
 | |
| ggsave("time.heatmap.png", plot=p, width=w, height=h, dpi=dpi)
 | |
| ggsave("time.heatmap.pdf", plot=p, width=w, height=h, dpi=dpi)
 | 
