Difference between revisions of "CSC352 Homework 5 Solution 2013"

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(Created page with "--~~~~ ---- <onlysmith> The solution this week is provided by Gavi, with an application that generates a very good graph. More on the graph in class. =Script= <source lang="...")
 
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<onlysmith>
 
<onlysmith>
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The solution this week is provided by Gavi, with an application that generates a very good graph.  More on the graph in class.
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The solution this week is provided by Gavi, with an application that generates a very good graph.  More on the graph in class.  I am also sharing Emily's scripts for running the experiments and generating the graph.
  
 
=Script=
 
=Script=
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<center>[[Image:CSC352hw5graphGavi.png|700px]]</center>
 
<center>[[Image:CSC352hw5graphGavi.png|700px]]</center>
  
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=More Scripts=
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===Script to run the experiment===
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<source lang="bash">
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#!/bin/bash
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#
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# Emily Flynn
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# CSC 352
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# 11/14/2013
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#
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# Gets timing data for hadoop (I only did one run on aws to save time).
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N=$1
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header="M run1 run2 run3"
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echo $header > timing${N}.txt
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for m in "10" "50" "100" "250" "500" "1000" "2500" "5000"
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do 
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    &>out time mpirun -np 8 ./hw5 ${N} ${m} > /dev/null
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    result1=$(head -1 out | awk '{print $1;}') #grabs only the user time                                                                                 
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    &>out time mpirun -np 8 ./hw5 ${N} ${m} > /dev/null
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    result2=$(head -1 out | awk '{print $1;}')
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    &>out time mpirun -np 8 ./hw5 ${N} ${m} > /dev/null
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    result3=$(head -1 out | awk '{print $1;}')
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    # write it out to a file                                                                                                                             
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    printf "%s\t%s\t%s\t%s\n" "$m" "$result1" "$result2" "$result3" >> timing${N}.txt
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done
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rm out
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exit 0
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</source>
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===Script to generate a Graph in R===
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<source lang="rsplus">
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# plotHw5TimingData.R
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# Emily Flynn
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# CSC 352
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# 11/14/2013
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#
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# Plots the timing data from hadoop0, aws timing with N=5000.
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# helpful package
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require(mosaic)
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hadoop0 <- read.table("timing5000.txt", header=TRUE)
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aws <- read.table("timing_aws5000.txt", header=TRUE)
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# process timing data to remove "user" and convert data to numeric
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removeUser<- function(x){
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  return(as.numeric(gsub("user", "", x)))
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}
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hadoop0 <- data.frame(apply(hadoop0, c(1,2), removeUser))
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aws <-data.frame(apply(aws, c(1,2), removeUser))
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colnames(aws) <- c("M", "time") # aws only contains one run, not complete
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aws$system <- "aws"
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hadoop0$avg <- rowMeans(hadoop0[,2:4]) # hadoop contains multiple runs
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hadoop0_short <- data.frame(hadoop0$M, hadoop0$avg)
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colnames(hadoop0_short) <- c("M", "time")
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hadoop0_short$system <- "hadoop"
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result <- rbind(aws, hadoop0_short)
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my.col=c("blue","magenta")
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plotPoints(time ~ M, groups=system, data=result, ylab="time (s)", xlab="M - number per packet",
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          main="Hadoop0 vs. AWS times for varying packet size, \nN=5000",
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          key = list(space = "right", adj = 1,
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                      text = list(c("aws", "hadoop0")),
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                      points = list(pch = 21, col=my.col))
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 +
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)
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</source>
 
</onlysmith>
 
</onlysmith>
  

Revision as of 12:34, 26 November 2013

--D. Thiebaut (talk) 09:45, 26 November 2013 (EST)


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