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graphics.R
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graphics.R
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dirpath <- "./experiments/"
#General Configurations of the graphics
cexTam=1.25
PaletteColor <- c("red", "blue", "darkgray", "orange","black","lightblue", "lightblue","violet")
graphics <- function(){
setEPS()
postscript(paste("../../../images/", app[j], "-", sizes[k], "-", gpu[i],
"-Box.eps",sep=""),
height = 10, width = 11)
par(mar=c(4, 9, 1, 1) + 0.1, mgp=c(7, 1.5, 0), las=1)
boxplot(opt0[(opt0 < 9999)], opt1[(opt1 < 9999)], opt2[(opt2 < 9999)],
opt3[(opt3 < 9999)], benchmark[(benchmark < 9999)],
names = c("-O0", "-O1","-O2","-O3", "Tuned"),
ylab="Execution Time (seconds)",
cex.axis = 2.3,
cex.lab = 2.3
)
dev.off()
postscript(paste("../../../images/", app[j],"-", sizes[k], "-", gpu[i],
"-Best.eps",sep=""),
height = 11, width = 11)
par(mar=c(9, 9, 1, 1) + 0.1, mgp=c(7, 1.5, 0), las=1)
plot(logBest[["V2"]]~logBest[["V1"]],
type="l", col="black",
xlab="Tunning Time (seconds)",
ylab="Execution Time (seconds)",
cex.main=1.43,
cex.axis = 2.3,
cex.lab = 2.3
)
points(logBest[["V2"]]~logBest[["V1"]],
cex=3)
dev.off()
}
calc_speedup <- function(old, new){
return (median(old[old < 9999]) / median(new[new < 9999]))
}
rodinia_results_summary <- function(){
app <- c("backprop", "gaussian", "hotspot", "lud", "bfs",
"b+tree", "lavaMD", "heartwall", "myocyte", "kmeans",
"needle", "Pathfinder")
for(j in 1:length(app)){
target <- paste("./GTX-980/", app[j], "/size_default_time_3600/run_0/benchmark.txt",sep="")
print(target)
if(file.exists(target)) {
gtx9 <- scan(target)
}
else {
gtx9 <- scan(paste("./GTX-980/", app[j], "/size_default_time_7200/run_0/benchmark.txt",sep=""))
}
target <- paste("./GTX-750/", app[j], "/size_default_time_3600/run_0/benchmark.txt",sep="")
print(target)
if(file.exists(target)) {
gtx7 <- scan(target)
}
else {
gtx7 <- scan(paste("./GTX-750/", app[j], "/size_default_time_7200/run_0/benchmark.txt",sep=""))
}
target <- paste("./Tesla-K40/", app[j], "/size_default_time_3600/run_0/benchmark.txt",sep="")
print(target)
if(file.exists(target)) {
k40 <- scan(target)
} else {
k40 <- scan(paste("./Tesla-K40/", app[j], "/size_default_time_7200/run_0/benchmark.txt",sep=""))
}
o2gtx9 <- scan(paste("./GTX-980/", app[j], "/size_default_baseline/opt_2.txt",sep=""))
o2gtx7 <- scan(paste("./GTX-750/", app[j], "/size_default_baseline/opt_2.txt",sep=""))
if(app[j] != "needle") {
o2k40 <- scan(paste("./Tesla-K40/", app[j], "/size_default_baseline/opt_2.txt",sep=""))
}
if(app[j] == "backprop"){
backprop <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "gaussian"){
gaussian <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "hotspot"){
hotspot <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "lud"){
lud <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "bfs"){
bfs <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "b+tree"){
b_tree <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "heartwall"){
heartwall <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "lavaMD"){
lavaMD <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "myocyte"){
myocyte <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "kmeans") {
kmeans <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "needle") {
needle <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
} else if(app[j] == "Pathfinder") {
pathfinder <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
}
}
final <- data.frame(BCK=backprop,
HOT=hotspot,
LUD=lud,
BFS=bfs,
BPT=b_tree,
LMD=lavaMD,
MYO=myocyte,
KMN=kmeans,
PTF=pathfinder)
print(as.matrix(final))
setEPS()
postscript(paste("../images/RodiniaSummary_small.eps",sep=""),
height = 10, width = 21)
par(mar=c(4, 9, 1, 1) + 0.1, mgp=c(7, 1.5, 0), las=1)
barplot(as.matrix(final),
ylab="Speedup vs. -O2",
beside=T,
ylim=c(0.95, 1.11),
xpd=F,
col=gray.colors(3, start=0, end=1),
cex.names = 3,
space=c(0,0.3),
cex.axis = 3,
cex.lab = 3
)
legend(1.11, 1.11, c("GTX-980", "GTX-750", "Tesla-K40"), fill=gray.colors(3, start=0, end=1), cex=4)
abline(h = 1.0, untf = FALSE)
dev.off()
final <- data.frame(GAU=gaussian,
HWL=heartwall,
NDL=needle)
print(as.matrix(final))
setEPS()
postscript(paste("../images/RodiniaSummary.eps",sep=""),
height = 10, width = 21)
par(mar=c(4, 9, 1, 1) + 0.1, mgp=c(7, 1.5, 0), las=1)
barplot(as.matrix(final),
ylab="Speedup vs. -O2",
beside=T,
ylim=c(0, 2.5),
xpd=F,
col=gray.colors(3, start=0, end=1),
cex.names = 3,
space=c(0,0.3),
cex.axis = 3,
cex.lab = 3
)
legend(6.7, 2.5, c("GTX-980", "GTX-750", "Tesla-K40"), fill=gray.colors(3, start=0, end=1), cex=4)
abline(h = 1.0, untf = FALSE)
dev.off()
}
results_summary <- function(){
app <- c("MatMulGPU", "MatMulShared", "MatMulSharedUn", "MatMulUn", "SubSeqMax", "Bitonic", "Quicksort", "VecAdd")
for(j in 1:length(app)){
if (app[j] == "MatMulGPU" | app[j] == "MatMulShared" | app[j] == "MatMulUn" | app[j] == "MatMulSharedUn"){
size <- 8192
}
if (app[j] == "SubSeqMax"){
size <- 1073741824
}
if (app[j] == "Bitonic"){
size <- 4194304
}
if (app[j] == "Quicksort"){
size <- 65536
}
if (app[j] == "VecAdd"){
size <- 4194304
}
gtx9 <- scan(paste("./GTX-980/", app[j], "/size_", size, "_time_7200/run_0/benchmark.txt",sep=""))
gtx7 <- scan(paste("./GTX-750/", app[j], "/size_", size, "_time_7200/run_0/benchmark.txt",sep=""))
k40 <- scan(paste("./Tesla-K40/", app[j], "/size_", size, "_time_7200/run_0/benchmark.txt",sep=""))
o2gtx9 <- scan(paste("./GTX-980/", app[j], "/size_", size, "_baseline/opt_2.txt",sep=""))
o2gtx7 <- scan(paste("./GTX-750/", app[j], "/size_", size, "_baseline/opt_2.txt",sep=""))
o2k40 <- scan(paste("./Tesla-K40/", app[j], "/size_", size, "_baseline/opt_2.txt",sep=""))
print("MMG")
print("gtx9")
print(calc_speedup(o2gtx9, gtx9))
print("gtx7")
print(calc_speedup(o2gtx7, gtx7))
print("K40")
print(calc_speedup(o2k40, k40))
if(app[j] == "MatMulGPU"){
matmulgpu <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
}
if(app[j] == "MatMulUn"){
matmulun <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
}
if(app[j] == "MatMulShared"){
matmulshared <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
}
if(app[j] == "MatMulSharedUn"){
matmulsharedun <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
}
if (app[j] == "SubSeqMax"){
subseqmax <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
}
if (app[j] == "Bitonic"){
Bitonic <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
}
if (app[j] == "Quicksort"){
QuickSort <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
}
if (app[j] == "VecAdd"){
VecAdd <- c(calc_speedup(o2gtx9, gtx9), calc_speedup(o2gtx7, gtx7), calc_speedup(o2k40, k40))
}
}
mat_final <- data.frame(MMU=matmulun,
MMG=matmulgpu,
MSU=matmulsharedun,
MMS=matmulshared)
final <- data.frame(MSA=subseqmax,
VAD=VecAdd,
BTN=Bitonic,
QKS=QuickSort)
setEPS()
postscript(paste("../images/MatrixSummary.eps",sep=""),
height = 10, width = 18)
par(mar=c(4, 9, 1, 1) + 0.1, mgp=c(7, 1.5, 0), las=1)
barplot(as.matrix(mat_final),
ylab="Speedup vs. -O2",
beside=T,
ylim=c(0, 4.5),
xpd=F,
col=gray.colors(3, start=0, end=1),
cex.names = 3,
space=c(0,0.3),
cex.axis = 3,
cex.lab = 3
)
legend(3.5, 3.5, c("GTX-980", "GTX-750", "Tesla-K40"), fill=gray.colors(3, start=0, end=1), cex=4)
abline(h = 1.0, untf = FALSE)
dev.off()
setEPS()
postscript(paste("../images/Summary.eps",sep=""),
height = 10, width = 18)
par(mar=c(4, 9, 1, 1) + 0.1, mgp=c(7, 1.5, 0), las=1)
barplot(as.matrix(final),
ylab="Speedup vs. -O2",
beside=T,
ylim=c(0.98, 1.030),
xpd=F,
col=gray.colors(3, start=0, end=1),
cex.names = 3,
space=c(0,0.3),
cex.axis = 3,
cex.lab = 3
)
legend(4, 1.030, c("GTX-980", "GTX-750", "Tesla-K40"), fill=gray.colors(3, start=0, end=1), cex=4)
abline(h = 1.0, untf = FALSE)
dev.off()
}
setwd(paste(dirpath, sep=""))
rodinia_results_summary()
results_summary()
gpu <- c("Tesla-K40", "GTX-750", "GTX-980")
for(i in 1:length(gpu)){
print(getwd())
setwd(paste(gpu[i], sep=""))
print(getwd())
app <- c("MatMulGPU", "MatMulShared", "MatMulSharedUn", "MatMulUn",
"SubSeqMax", "Bitonic", "Quicksort", "VecAdd","backprop",
"gaussian", "hotspot", "lud", "bfs", "b+tree", "heartwall",
"lavaMD", "myocyte", "Pathfinder")
for(j in 1:length(app)){
print(getwd())
setwd(paste("./", app[j], sep=""))
print(getwd())
if (app[j] == "MatMulGPU" | app[j] == "MatMulShared" | app[j] == "MatMulUn" | app[j] == "MatMulSharedUn"){
sizes <- c(8192)
for(k in 1:length(sizes)){
opt0 <- scan(paste("./size_", sizes[k], "_baseline/opt_0.txt",sep=""))
opt1 <- scan(paste("./size_", sizes[k], "_baseline/opt_1.txt",sep=""))
opt2 <- scan(paste("./size_", sizes[k], "_baseline/opt_2.txt",sep=""))
opt3 <- scan(paste("./size_", sizes[k], "_baseline/opt_3.txt",sep=""))
benchmark <- scan(paste("./size_", sizes[k], "_time_7200/run_0/benchmark.txt",sep=""))
logAll <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logall.txt",sep=""))
logBest <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logbest.txt",sep=""))
graphics()
}
}
if (app[j] == "SubSeqMax"){
sizes <- c(1073741824)
for(k in 1:length(sizes)){
opt0 <- scan(paste("./size_", sizes[k], "_baseline/opt_0.txt",sep=""))
opt1 <- scan(paste("./size_", sizes[k], "_baseline/opt_1.txt",sep=""))
opt2 <- scan(paste("./size_", sizes[k], "_baseline/opt_2.txt",sep=""))
opt3 <- scan(paste("./size_", sizes[k], "_baseline/opt_3.txt",sep=""))
benchmark <- scan(paste("./size_", sizes[k], "_time_7200/run_0/benchmark.txt",sep=""))
logAll <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logall.txt",sep=""))
logBest <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logbest.txt",sep=""))
graphics()
}
}
if (app[j] == "Bitonic" ){
sizes <- c(4194304)
for(k in 1:length(sizes)){
opt0 <- scan(paste("./size_", sizes[k], "_baseline/opt_0.txt",sep=""))
opt1 <- scan(paste("./size_", sizes[k], "_baseline/opt_1.txt",sep=""))
opt2 <- scan(paste("./size_", sizes[k], "_baseline/opt_2.txt",sep=""))
opt3 <- scan(paste("./size_", sizes[k], "_baseline/opt_3.txt",sep=""))
benchmark <- scan(paste("./size_", sizes[k], "_time_7200/run_0/benchmark.txt",sep=""))
logAll <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logall.txt",sep=""))
logBest <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logbest.txt",sep=""))
graphics()
}
}
if (app[j] == "Quicksort"){
sizes <- c(65536)
for(k in 1:length(sizes)){
opt0 <- scan(paste("./size_", sizes[k], "_baseline/opt_0.txt",sep=""))
opt1 <- scan(paste("./size_", sizes[k], "_baseline/opt_1.txt",sep=""))
opt2 <- scan(paste("./size_", sizes[k], "_baseline/opt_2.txt",sep=""))
opt3 <- scan(paste("./size_", sizes[k], "_baseline/opt_3.txt",sep=""))
benchmark <- scan(paste("./size_", sizes[k], "_time_7200/run_0/benchmark.txt",sep=""))
logAll <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logall.txt",sep=""))
logBest <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logbest.txt",sep=""))
graphics()
}
}
if (app[j] == "VecAdd"){
sizes <- c(4194304)
for(k in 1:length(sizes)){
opt0 <- scan(paste("./size_", sizes[k], "_baseline/opt_0.txt",sep=""))
opt1 <- scan(paste("./size_", sizes[k], "_baseline/opt_1.txt",sep=""))
opt2 <- scan(paste("./size_", sizes[k], "_baseline/opt_2.txt",sep=""))
opt3 <- scan(paste("./size_", sizes[k], "_baseline/opt_3.txt",sep=""))
benchmark <- scan(paste("./size_", sizes[k], "_time_7200/run_0/benchmark.txt",sep=""))
logAll <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logall.txt",sep=""))
logBest <- read.table(paste("./size_", sizes[k], "_time_7200/run_0/logbest.txt",sep=""))
graphics()
}
}
if (app[j] == "ParticleFilterNaive" & gpu[i] == "Tesla-K40"){
opt0 <- scan(paste("./size_50000_baseline/opt_0.txt",sep=""))
opt1 <- scan(paste("./size_50000_baseline/opt_1.txt",sep=""))
opt2 <- scan(paste("./size_50000_baseline/opt_2.txt",sep=""))
opt3 <- scan(paste("./size_50000_baseline/opt_3.txt",sep=""))
benchmark <- scan(paste("./size_50000_time_7200/run_0/benchmark.txt",sep=""))
logAll <- read.table(paste("./size_50000_time_7200/run_0/logall.txt",sep=""))
logBest <- read.table(paste("./size_50000_time_7200/run_0/logbest.txt",sep=""))
graphics()
}
if (app[j] == "backprop" | app[j] == "gaussian" | app[j] == "hotspot" |
app[j] == "kmeans" | app[j] == "lud" | app[j] == "nn" |
app[j] == "bfs" | app[j] == "b+tree" | app[j] == "heartwall" |
app[j] == "hybridsort" | app[j] == "lavaMD" | app[j] == "myocyte" |
app[j] == "Pathfinder"){
sizes <- c(0)
opt0 <- scan(paste("./size_default_baseline/opt_0.txt",sep=""))
opt1 <- scan(paste("./size_default_baseline/opt_1.txt",sep=""))
opt2 <- scan(paste("./size_default_baseline/opt_2.txt",sep=""))
opt3 <- scan(paste("./size_default_baseline/opt_3.txt",sep=""))
target <- paste("./size_default_time_3600",sep="")
if(file.exists(target)) {
benchmark <- scan(paste("./size_default_time_3600/run_0/benchmark.txt",sep=""))
logAll <- read.table(paste("./size_default_time_3600/run_0/logall.txt",sep=""))
logBest <- read.table(paste("./size_default_time_3600/run_0/logbest.txt",sep=""))
}
else {
benchmark <- scan(paste("./size_default_time_7200/run_0/benchmark.txt",sep=""))
logAll <- read.table(paste("./size_default_time_7200/run_0/logall.txt",sep=""))
logBest <- read.table(paste("./size_default_time_7200/run_0/logbest.txt",sep=""))
}
graphics()
}
print(getwd())
setwd("..")
print(getwd())
}
setwd("..")
}