# StarPU --- Runtime system for heterogeneous multicore architectures. # # Copyright (C) 2010 Université de Bordeaux 1 # Copyright (C) 2010, 2011 Centre National de la Recherche Scientifique # # StarPU is free software; you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as published by # the Free Software Foundation; either version 2.1 of the License, or (at # your option) any later version. # # StarPU is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. # # See the GNU Lesser General Public License in COPYING.LGPL for more details. sizelist <- seq(2048, 24576, 2048); #schedlist <- c("greedy", "prio", "dm", "random", "no-prio", "ws"); schedlist <- c("prio","random"); print(schedlist); print(sizelist); gflops <- function (x, size) { 2*size*size*size/(3000000*x); } parse <- function (size, sched) { ret <- scan(paste("timings-sched/sched", sched, size, sep=".")); return(ret); } handle_size <- function (size, sched) { gflops <- gflops(parse(size, sched), size); # return(data.frame(gflops=gflops, size=array(size, c(length(gflops))), sched=array(sched, c(length(gflops))))); return(gflops); } handle_sched <- function(sched) { gflopstab <- NULL; sizetab <- NULL; for (size in sizelist) { list <- handle_size(size, sched); gflopstab <- c(gflopstab, list); sizetab <- c(sizetab, array(size, c(length(list)))); } return( data.frame(gflops=gflopstab, size=sizetab, sched=array(sched, c(length(gflopstab)) )) ); } handle_sched_mean <- function(sched) { meantab <- NULL; sizetab <- NULL; for (size in sizelist) { list <- mean(handle_size(size, sched)); meantab <- c(meantab, list); sizetab <- c(sizetab, array(size, c(length(list)))); } return( data.frame(gflops=meantab, size=sizetab, sched=array(sched, c(length(meantab)) )) # meantab ); } trace_sched <- function(sched, color, style) { #points(handle_sched(sched)$size, handle_sched(sched)$gflops, col=color); lines(handle_sched_mean(sched)$size, handle_sched_mean(sched)$gflops, col=color, legend.text=TRUE, type = "o", pch = style, lwd=2); } display_sched <- function() { xlist <- range(sizelist); ylist <- range(c(0,100)); plot.new(); plot.window(xlist, ylist); #trace_sched("dm", "black", 0); trace_sched("random", "blue", 1); #trace_sched("greedy", "black", 2); trace_sched("prio", "red", 4); #trace_sched("no-prio", "black"); #trace_sched("ws", "purple"); axis(1, at=sizelist) axis(2, at=seq(0, 100, 10), tck=1) # axis(4, at=seq(0, 100, 10)) box(bty="u") #labels <- c("greedy", "priority", "model", "random", "black", "ws") # labels <- c("greedy", "priority", "model", "random") #labels <- c("model", "weighted random", "greedy", "priority") labels <- c("weighted random", "priority") legend("topleft", inset=.05, title="Scheduling policy", labels, lwd=2, cex=1.6, lty=c(1, 1, 1, 1, 1, 1), pch=c(1, 4),col=c("blue","red"), bty="y", bg="white") mtext("matrix size", side=1, line=2, cex=1.6) mtext("GFlops", side=2, line=2, las=0, cex=1.6) title("LU decomposition"); } display_sched() # boxplot(result, col=c("yellow", "red", "green"), xlab=sizelist); # plot(c(sizelist,sizelist,sizelist), c(result_greedy, result_prio, result_dm)); # plot(sizelist, result_dm); # plot.new() # plot.window(range(c(sizelist,0) ), c(0, 6))