mirror of
https://github.com/andre-wojtowicz/blas-benchmarks
synced 2024-11-25 07:20:28 +01:00
markdown: added results per library; added table of contents
This commit is contained in:
parent
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results.Rmd
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results.Rmd
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---
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---
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title: "Results"
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title: "BLAS libraries benchmarks"
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author: "Andrzej Wójtowicz"
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author: "Andrzej Wójtowicz"
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output: html_document
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output:
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html_document:
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keep_md: yes
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---
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---
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Document generation date: `r Sys.time()`
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```{r checkpoint, echo=FALSE, warning=FALSE, message=FALSE}
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```{r checkpoint, echo=FALSE, warning=FALSE, message=FALSE}
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library(checkpoint)
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library(checkpoint)
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@ -14,6 +17,50 @@ library(ggplot2)
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library(RColorBrewer)
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library(RColorBrewer)
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```
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```
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## Table of Contents
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1. [Configuration](#configuration)
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2. [Results per host](#results-per-host)
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* [Intel Core i5-4590 + NVIDIA GeForce GT 430](#intel-core-i5-4590-nvidia-geforce-gt-430)
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* [Intel Core i5-3570](#intel-core-i5-3570)
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* [Intel Core i3-2120](#intel-core-i3-2120)
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* [Intel Core i3-3120M](#intel-core-i3-3120m)
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3. [Results per library](#results-per-library)
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* [Netlib](#netlib)
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* [Atlas (st)](#atlas-st)
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* [OpenBLAS](#openblas)
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* [Atlas (mt)](#atlas-mt)
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* [GotoBLAS2](#gotoblas2)
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* [MKL](#mkl)
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* [BLIS](#blis)
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***
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## Configuration
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**R software**: [Microsoft R Open](https://mran.microsoft.com/open/).
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**Libraries**:
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|CPU (single-threaded)|CPU (multi-threaded)|GPU|
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|[Netlib](http://www.netlib.org/) (debian package)|[OpenBLAS](http://www.openblas.net/) (debian package)|[NVIDIA cuBLAS](https://developer.nvidia.com/cublas) (NVBLAS + Intel MKL)|
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|[ATLAS](http://math-atlas.sourceforge.net/) (debian package)|[ATLAS](http://math-atlas.sourceforge.net/) (dev branch)| |
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| |[GotoBLAS2](https://prs.ism.ac.jp/~nakama/SurviveGotoBLAS2/) (Survive fork)| |
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| |[Intel MKL](https://mran.microsoft.com/download/) (part of Microsoft R Open)| |
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| |[BLIS](https://github.com/flame/blis)| |
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**Hosts**:
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|No.|CPU|GPU|
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|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)|
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|2.|[Intel Core i5-3570](http://ark.intel.com/products/65702/Intel-Core-i5-3570-Processor-6M-Cache-up-to-3_80-GHz)| - |
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|3.|[Intel Core i3-2120](http://ark.intel.com/products/53426/Intel-Core-i3-2120-Processor-3M-Cache-3_30-GHz)| - |
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|4.|[Intel Core i3-3120M](http://ark.intel.com/products/71465/Intel-Core-i3-3120M-Processor-3M-Cache-2_50-GHz)| - |
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**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).
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```{r config, echo=FALSE}
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```{r config, echo=FALSE}
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HOSTNAMES = suppressWarnings(readLines("hosts-list.txt"))
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HOSTNAMES = suppressWarnings(readLines("hosts-list.txt"))
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"cublas")
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"cublas")
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LIBRARY.REF = "netlib"
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LIBRARY.REF = "netlib"
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HOST.REF = "Intel Core i3-3120M"
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HOST.REF.GPU = "NVIDIA GeForce GT 430"
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HOST.INFO.PATTERN = "host-info-<HOST>.log"
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HOST.INFO.PATTERN = "host-info-<HOST>.log"
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BENCHMKAR.PATTERN = "test-<BENCHMARK>-<HOST>-<LIBRARY>.rds"
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BENCHMKAR.PATTERN = "test-<BENCHMARK>-<HOST>-<LIBRARY>.rds"
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@ -132,7 +181,7 @@ saveRDS(benchmark.results, file.path(DATA.DIR, "benchmark.results.rds"))
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```{r per-host, echo=FALSE, results='asis'}
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```{r per-host, echo=FALSE, results='asis'}
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cat("# Per host\n\n")
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cat("# Results per host\n\n")
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for (host in hosts.info$Host)
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for (host in hosts.info$Host)
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{
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{
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@ -148,7 +197,7 @@ for (host in hosts.info$Host)
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for (benchmark in BENCHMARKS)
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for (benchmark in BENCHMARKS)
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{
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{
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cat(paste0("## ", paste(toupper(substring(benchmark, 1,1)), substring(benchmark, 2),sep="", collapse=" "), " benchmark\n\n"))
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cat(paste0("### ", paste(toupper(substring(benchmark, 1,1)), substring(benchmark, 2),sep="", collapse=" "), " benchmark\n\n"))
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testnames = benchmark.results %>%
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testnames = benchmark.results %>%
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filter(Benchmark == benchmark) %>%
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filter(Benchmark == benchmark) %>%
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names(myColors) = levels(data.to.plot$Color)
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names(myColors) = levels(data.to.plot$Color)
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colScale = scale_fill_manual(name = "Color", values = myColors)
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colScale = scale_fill_manual(name = "Color", values = myColors)
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#if (benchmark=="gcbd")
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# browser()
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if (benchmark != "gcbd")
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if (benchmark != "gcbd")
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{
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{
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png(image.path, width=600, height=35*nrow(data.to.plot))
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png(image.path, width=600, height=35*nrow(data.to.plot))
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}
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}
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```
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```
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```{r per-library, echo=FALSE, results='asis'}
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cat("# Results per library\n\n")
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renamedLibs = list(
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"cublas"="cuBLAS",
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"blis"="BLIS",
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"mkl"="MKL",
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"atlas_mt"="ATLAS (mt)",
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"openblas"="OpenBLAS",
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"gotoblas2"="GotoBLAS2",
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"atlas_st"="ATLAS (st)",
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"netlib"="Netlib")
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for (lib in LIBRARIES)
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{
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cat(paste("##", renamedLibs[[lib]]))
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cat("\n\n\n\n")
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for (benchmark in BENCHMARKS)
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{
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cat(paste0("### ", paste(toupper(substring(benchmark, 1,1)), substring(benchmark, 2),sep="", collapse=" "), " benchmark\n\n"))
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testnames = benchmark.results %>%
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filter(Benchmark == benchmark) %>%
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select(Test) %>%
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unique
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if (benchmark == "urbanek")
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# remove tests with almost the same results
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testnames = testnames %>% filter(row_number() %in% c(4, 5, 7, 8, 9, 10, 15))
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for (i in 1:nrow(testnames))
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{
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test = as.character(testnames[i, "Test"])
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data.to.plot = benchmark.results %>%
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filter(Library == lib & Benchmark == benchmark &
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Test == test)
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if (benchmark != "gcbd")
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{
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if (lib!="cublas")
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data.to.plot = data.to.plot %>%
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mutate(PerfGain=data.to.plot[which(hosts.info$CPU==HOST.REF), "Time"]/Time)
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else
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data.to.plot = data.to.plot %>%
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mutate(PerfGain=data.to.plot[which(hosts.info$GPU==HOST.REF.GPU), "Time"]/Time)
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}
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data.to.plot = data.to.plot %>% rowwise() %>%
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mutate(CPUGPU=hosts.info[which(hosts.info$Host==Host), ifelse(lib!="cublas", "CPU", "GPU")])
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image.path = file.path(IMAGES.DIR,
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paste0("img_pl",
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"_l", which(lib == LIBRARIES),
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"_b", which(benchmark == BENCHMARKS),
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"_t", i,
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".png"))
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cat(paste0("#### ", gsub(" \\(.*\\)", "", test)), "\n\n")
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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$Runs))),
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" runs - lower is better\n\n"))
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myColors = c("#5AAC45", "#636363", "#636363", "#E6191A")
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colScale = scale_fill_manual(name = "Color", values = myColors)
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if (benchmark != "gcbd")
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{
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png(image.path, width=600, height=50*nrow(data.to.plot)+ifelse(nrow(data.to.plot)>1, 0, 20))
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print(ggplot(data.to.plot, aes(x=reorder(CPUGPU, -Time), y=Time,
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fill=CPUGPU)) +
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theme_classic() +
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theme(
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panel.border = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x = element_text(colour="grey60"),
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axis.ticks.x=element_line(color="grey60"),
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axis.ticks.y=element_line(color="grey60"),
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legend.position="none"
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) +
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scale_y_continuous(expand = c(0, 0),
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limits = c(0, 1.20*max(data.to.plot$Time))) +
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geom_bar(stat="identity", width=.7) +
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coord_flip() +
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geom_text(aes(y=Time, x=CPUGPU, label=format(Time, digits=2, nsmall=2)), hjust=-0.25, size=3, colour="grey45") +
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geom_text(aes(y=1.2*max(data.to.plot$Time), x=CPUGPU, label=paste0("x", trimws(format(PerfGain, digits=1, nsmall=1)))), hjust=1, size=4) +
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geom_hline(yintercept = 0, color="grey") +
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geom_vline(xintercept = 0.4, color="grey") +
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annotate("text", x=nrow(data.to.plot)+ifelse(nrow(data.to.plot)>1, 0.55, 0.45), y=1.2*max(data.to.plot$Time), label="Performance gain", hjust=1) +
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colScale
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)
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dev.off()
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cat(paste0("![](", image.path, ")\n\n\n\n"))
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} else {
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rbColors = c("#F40000","#FF8000","#0094FF","#7F00FF","#FFBC70","#00DD0E")
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png(image.path, width=400, height=350, type="cairo")
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print(ggplot(data.to.plot,
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aes(x=Size, y=Time, group=CPUGPU, color=CPUGPU,
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shape=CPUGPU, fill=CPUGPU)) +
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theme_classic() +
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theme(
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panel.border = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x = element_text(colour="grey60"),
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axis.text.y = element_text(colour="grey60"),
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axis.ticks.x=element_line(color="grey60"),
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axis.ticks.y=element_line(color="grey60"),
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legend.margin=unit(c(-13,8), "mm"),
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legend.title=element_blank()
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) +
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geom_line(size=1) +
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geom_point(size=2, color="grey30") +
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scale_x_continuous(expand = c(0, 0),
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limits = c(0, 5000)) +
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scale_y_continuous(expand = c(0, 0)) +
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geom_hline(yintercept = 0, color="grey") +
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geom_vline(xintercept = 0.4, color="grey") +
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scale_shape_manual(values=c(25,24,22,21)) +
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scale_color_manual(values=rbColors) +
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scale_fill_manual(values=rbColors)
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)
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dev.off()
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cat(paste0("![](", image.path, ")"))
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png(gsub(".png", "b.png", image.path), width=350, height=350, type="cairo")
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print(ggplot(data.to.plot,
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aes(x=Size, y=Time, group=CPUGPU, color=CPUGPU,
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shape=CPUGPU, fill=CPUGPU)) +
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theme_classic() +
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theme(
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panel.border = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x = element_text(colour="grey60"),
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axis.text.y = element_text(colour="grey60"),
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axis.ticks.x=element_line(color="grey60"),
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axis.ticks.y=element_line(color="grey60"),
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legend.position="none"
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) +
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geom_line(size=1) +
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geom_point(size=2, color="grey30") +
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scale_x_log10(expand=c(0,0),
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breaks=c(100, 200, 400, 800, 1600, 3200, 5000),
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limits=c(100, 5500)) +
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scale_y_log10() +
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scale_shape_manual(values=c(25,24,22,21)) +
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geom_hline(yintercept = 0, color="grey") +
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geom_vline(xintercept = min(data.to.plot$Size), color="grey") +
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scale_color_manual(values=rbColors) +
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scale_fill_manual(values=rbColors)
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)
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dev.off()
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cat(paste0("![](", gsub(".png", "b.png", image.path), ")\n\n\n\n"))
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}
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}
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}
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}
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```
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