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mirror of https://github.com/andre-wojtowicz/blas-benchmarks synced 2024-12-22 12:30:29 +01:00

markdown: added results per library; added table of contents

This commit is contained in:
Andrzej Wójtowicz 2016-05-26 19:28:38 +02:00
parent 5ec7e7f9fa
commit 65ef08182f

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@ -1,9 +1,12 @@
---
title: "Results"
title: "BLAS libraries benchmarks"
author: "Andrzej Wójtowicz"
output: html_document
output:
html_document:
keep_md: yes
---
Document generation date: `r Sys.time()`
```{r checkpoint, echo=FALSE, warning=FALSE, message=FALSE}
library(checkpoint)
@ -14,6 +17,50 @@ library(ggplot2)
library(RColorBrewer)
```
## Table of Contents
1. [Configuration](#configuration)
2. [Results per host](#results-per-host)
* [Intel Core i5-4590 + NVIDIA GeForce GT 430](#intel-core-i5-4590-nvidia-geforce-gt-430)
* [Intel Core i5-3570](#intel-core-i5-3570)
* [Intel Core i3-2120](#intel-core-i3-2120)
* [Intel Core i3-3120M](#intel-core-i3-3120m)
3. [Results per library](#results-per-library)
* [Netlib](#netlib)
* [Atlas (st)](#atlas-st)
* [OpenBLAS](#openblas)
* [Atlas (mt)](#atlas-mt)
* [GotoBLAS2](#gotoblas2)
* [MKL](#mkl)
* [BLIS](#blis)
***
## Configuration
**R software**: [Microsoft R Open](https://mran.microsoft.com/open/).
**Libraries**:
|CPU (single-threaded)|CPU (multi-threaded)|GPU|
|---|---|---|
|[Netlib](http://www.netlib.org/) (debian package)|[OpenBLAS](http://www.openblas.net/) (debian package)|[NVIDIA cuBLAS](https://developer.nvidia.com/cublas) (NVBLAS + Intel MKL)|
|[ATLAS](http://math-atlas.sourceforge.net/) (debian package)|[ATLAS](http://math-atlas.sourceforge.net/) (dev branch)| |
| |[GotoBLAS2](https://prs.ism.ac.jp/~nakama/SurviveGotoBLAS2/) (Survive fork)| |
| |[Intel MKL](https://mran.microsoft.com/download/) (part of Microsoft R Open)| |
| |[BLIS](https://github.com/flame/blis)| |
**Hosts**:
|No.|CPU|GPU|
|---|---|---|
|1.|[Intel Core i5-4590](http://ark.intel.com/products/80815/Intel-Core-i5-4590-Processor-6M-Cache-up-to-3_70-GHz)|[NVIDIA GeForce GT 430](http://www.geforce.com/hardware/desktop-gpus/geforce-gt-430/specifications)|
|2.|[Intel Core i5-3570](http://ark.intel.com/products/65702/Intel-Core-i5-3570-Processor-6M-Cache-up-to-3_80-GHz)| - |
|3.|[Intel Core i3-2120](http://ark.intel.com/products/53426/Intel-Core-i3-2120-Processor-3M-Cache-3_30-GHz)| - |
|4.|[Intel Core i3-3120M](http://ark.intel.com/products/71465/Intel-Core-i3-3120M-Processor-3M-Cache-2_50-GHz)| - |
**Benchmarks**: [Urbanek](http://r.research.att.com/benchmarks/R-benchmark-25.R), [Revolution](https://gist.github.com/andrie/24c9672f1ea39af89c66#file-rro-mkl-benchmark-r), [Gcbd](https://cran.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf).
```{r config, echo=FALSE}
HOSTNAMES = suppressWarnings(readLines("hosts-list.txt"))
@ -32,6 +79,8 @@ LIBRARIES = c("netlib",
"cublas")
LIBRARY.REF = "netlib"
HOST.REF = "Intel Core i3-3120M"
HOST.REF.GPU = "NVIDIA GeForce GT 430"
HOST.INFO.PATTERN = "host-info-<HOST>.log"
BENCHMKAR.PATTERN = "test-<BENCHMARK>-<HOST>-<LIBRARY>.rds"
@ -132,7 +181,7 @@ saveRDS(benchmark.results, file.path(DATA.DIR, "benchmark.results.rds"))
```{r per-host, echo=FALSE, results='asis'}
cat("# Per host\n\n")
cat("# Results per host\n\n")
for (host in hosts.info$Host)
{
@ -148,7 +197,7 @@ for (host in hosts.info$Host)
for (benchmark in BENCHMARKS)
{
cat(paste0("## ", paste(toupper(substring(benchmark, 1,1)), substring(benchmark, 2),sep="", collapse=" "), " benchmark\n\n"))
cat(paste0("### ", paste(toupper(substring(benchmark, 1,1)), substring(benchmark, 2),sep="", collapse=" "), " benchmark\n\n"))
testnames = benchmark.results %>%
filter(Benchmark == benchmark) %>%
@ -210,9 +259,6 @@ for (host in hosts.info$Host)
names(myColors) = levels(data.to.plot$Color)
colScale = scale_fill_manual(name = "Color", values = myColors)
#if (benchmark=="gcbd")
# browser()
if (benchmark != "gcbd")
{
png(image.path, width=600, height=35*nrow(data.to.plot))
@ -320,3 +366,187 @@ for (host in hosts.info$Host)
}
```
```{r per-library, echo=FALSE, results='asis'}
cat("# Results per library\n\n")
renamedLibs = list(
"cublas"="cuBLAS",
"blis"="BLIS",
"mkl"="MKL",
"atlas_mt"="ATLAS (mt)",
"openblas"="OpenBLAS",
"gotoblas2"="GotoBLAS2",
"atlas_st"="ATLAS (st)",
"netlib"="Netlib")
for (lib in LIBRARIES)
{
cat(paste("##", renamedLibs[[lib]]))
cat("\n\n\n\n")
for (benchmark in BENCHMARKS)
{
cat(paste0("### ", paste(toupper(substring(benchmark, 1,1)), substring(benchmark, 2),sep="", collapse=" "), " benchmark\n\n"))
testnames = benchmark.results %>%
filter(Benchmark == benchmark) %>%
select(Test) %>%
unique
if (benchmark == "urbanek")
# remove tests with almost the same results
testnames = testnames %>% filter(row_number() %in% c(4, 5, 7, 8, 9, 10, 15))
for (i in 1:nrow(testnames))
{
test = as.character(testnames[i, "Test"])
data.to.plot = benchmark.results %>%
filter(Library == lib & Benchmark == benchmark &
Test == test)
if (benchmark != "gcbd")
{
if (lib!="cublas")
data.to.plot = data.to.plot %>%
mutate(PerfGain=data.to.plot[which(hosts.info$CPU==HOST.REF), "Time"]/Time)
else
data.to.plot = data.to.plot %>%
mutate(PerfGain=data.to.plot[which(hosts.info$GPU==HOST.REF.GPU), "Time"]/Time)
}
data.to.plot = data.to.plot %>% rowwise() %>%
mutate(CPUGPU=hosts.info[which(hosts.info$Host==Host), ifelse(lib!="cublas", "CPU", "GPU")])
image.path = file.path(IMAGES.DIR,
paste0("img_pl",
"_l", which(lib == LIBRARIES),
"_b", which(benchmark == BENCHMARKS),
"_t", i,
".png"))
cat(paste0("#### ", gsub(" \\(.*\\)", "", test)), "\n\n")
cat(paste0("Time in seconds ", ifelse(benchmark=="gcbd", "regarding matrix size - right panel on log scale", ""), " - ", ifelse(benchmark!="gcbd", data.to.plot$Runs[1], paste(" from ", max(data.to.plot$Runs), " to ", min(data.to.plot$Runs))),
" runs - lower is better\n\n"))
myColors = c("#5AAC45", "#636363", "#636363", "#E6191A")
colScale = scale_fill_manual(name = "Color", values = myColors)
if (benchmark != "gcbd")
{
png(image.path, width=600, height=50*nrow(data.to.plot)+ifelse(nrow(data.to.plot)>1, 0, 20))
print(ggplot(data.to.plot, aes(x=reorder(CPUGPU, -Time), y=Time,
fill=CPUGPU)) +
theme_classic() +
theme(
panel.border = element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),
axis.text.x = element_text(colour="grey60"),
axis.ticks.x=element_line(color="grey60"),
axis.ticks.y=element_line(color="grey60"),
legend.position="none"
) +
scale_y_continuous(expand = c(0, 0),
limits = c(0, 1.20*max(data.to.plot$Time))) +
geom_bar(stat="identity", width=.7) +
coord_flip() +
geom_text(aes(y=Time, x=CPUGPU, label=format(Time, digits=2, nsmall=2)), hjust=-0.25, size=3, colour="grey45") +
geom_text(aes(y=1.2*max(data.to.plot$Time), x=CPUGPU, label=paste0("x", trimws(format(PerfGain, digits=1, nsmall=1)))), hjust=1, size=4) +
geom_hline(yintercept = 0, color="grey") +
geom_vline(xintercept = 0.4, color="grey") +
annotate("text", x=nrow(data.to.plot)+ifelse(nrow(data.to.plot)>1, 0.55, 0.45), y=1.2*max(data.to.plot$Time), label="Performance gain", hjust=1) +
colScale
)
dev.off()
cat(paste0("![](", image.path, ")\n\n\n\n"))
} else {
rbColors = c("#F40000","#FF8000","#0094FF","#7F00FF","#FFBC70","#00DD0E")
png(image.path, width=400, height=350, type="cairo")
print(ggplot(data.to.plot,
aes(x=Size, y=Time, group=CPUGPU, color=CPUGPU,
shape=CPUGPU, fill=CPUGPU)) +
theme_classic() +
theme(
panel.border = element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),
axis.text.x = element_text(colour="grey60"),
axis.text.y = element_text(colour="grey60"),
axis.ticks.x=element_line(color="grey60"),
axis.ticks.y=element_line(color="grey60"),
legend.margin=unit(c(-13,8), "mm"),
legend.title=element_blank()
) +
geom_line(size=1) +
geom_point(size=2, color="grey30") +
scale_x_continuous(expand = c(0, 0),
limits = c(0, 5000)) +
scale_y_continuous(expand = c(0, 0)) +
geom_hline(yintercept = 0, color="grey") +
geom_vline(xintercept = 0.4, color="grey") +
scale_shape_manual(values=c(25,24,22,21)) +
scale_color_manual(values=rbColors) +
scale_fill_manual(values=rbColors)
)
dev.off()
cat(paste0("![](", image.path, ")"))
png(gsub(".png", "b.png", image.path), width=350, height=350, type="cairo")
print(ggplot(data.to.plot,
aes(x=Size, y=Time, group=CPUGPU, color=CPUGPU,
shape=CPUGPU, fill=CPUGPU)) +
theme_classic() +
theme(
panel.border = element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),
axis.text.x = element_text(colour="grey60"),
axis.text.y = element_text(colour="grey60"),
axis.ticks.x=element_line(color="grey60"),
axis.ticks.y=element_line(color="grey60"),
legend.position="none"
) +
geom_line(size=1) +
geom_point(size=2, color="grey30") +
scale_x_log10(expand=c(0,0),
breaks=c(100, 200, 400, 800, 1600, 3200, 5000),
limits=c(100, 5500)) +
scale_y_log10() +
scale_shape_manual(values=c(25,24,22,21)) +
geom_hline(yintercept = 0, color="grey") +
geom_vline(xintercept = min(data.to.plot$Size), color="grey") +
scale_color_manual(values=rbColors) +
scale_fill_manual(values=rbColors)
)
dev.off()
cat(paste0("![](", gsub(".png", "b.png", image.path), ")\n\n\n\n"))
}
}
}
}
```