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Allow to select datafile for charts/explore/compare (filtered/non-filtered)

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This commit is contained in:
Christoph Urlacher
2026-06-14 17:06:43 +02:00
parent 1d1ed3581a
commit e3be326c42
7 changed files with 226 additions and 70 deletions
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17
scripts/charts/combined_sankey.r
View File

@ -6,13 +6,16 @@ library(ggalluvial)
args <- commandArgs(trailingOnly = TRUE)
argc <- length(args)
if (argc != 2) {
print("Expecting two input files")
if (argc < 2 || argc > 3) {
print("Expecting two or three arguments: exp1 exp2 [faults_file]")
stop()
}
for (experiment in args) {
datafile <- paste(experiment, "/faults.csv", sep = "")
faults_file <- if (argc == 3) args[3] else "faults.csv"
suffix <- gsub("^faults|\\.csv$", "", faults_file)
for (experiment in args[1:2]) {
datafile <- file.path(experiment, faults_file)
if (!file.exists(datafile)) {
print(paste("Input file", datafile, "is missing"))
stop()
@ -30,13 +33,13 @@ resulttype_labels <- c(
)
# Read data
datafile1 <- paste(args[1], "/faults.csv", sep = "")
datafile1 <- file.path(args[1], faults_file)
data1 <- readr::read_csv(datafile1)
data1$fault_address <- strtoi(data1$fault_address)
data1$resulttype <- resulttype_labels[data1$resulttype]
# tibble::glimpse(data1)
datafile2 <- paste(args[2], "/faults.csv", sep = "")
datafile2 <- file.path(args[2], faults_file)
data2 <- readr::read_csv(datafile2)
data2$fault_address <- strtoi(data2$fault_address)
data2$resulttype <- resulttype_labels[data2$resulttype]
@ -75,6 +78,6 @@ plot <- ggplot(
# TODO: Name the file according to the benchmarks
ggsave(
paste(args[2], "/../sankey.svg", sep = ""),
paste0(args[2], "/../sankey", suffix, ".svg"),
plot = plot,
)

197
scripts/charts/single_heatmap.r
View File

@ -29,27 +29,84 @@ max_tile <- 0.5
# Generate all heatmaps with crossproduct of this
benchmarks <- c("ip", "mem", "regs")
markers <- c(
"OK_MARKER", "FAIL_MARKER", "DETECTED_MARKER",
"ACCESS_OUTERSPACE", "WRITE_TEXTSEGMENT",
"GROUP1_MARKER", "TRAP", "TIMEOUT"
"OK_MARKER",
"FAIL_MARKER",
"DETECTED_MARKER",
"ACCESS_OUTERSPACE",
"WRITE_TEXTSEGMENT",
"GROUP1_MARKER",
"TRAP",
"TIMEOUT"
)
# Labels for _start/_end symbols from linker.ld
regions <- list(
list(label = "WAMR AOT", start = "_wamr_aot_start", end = "_wamr_aot_end"),
list(label = "WAMR os_mmap", start = "_wamr_mmap_start", end = "_wamr_mmap_end"),
list(label = "WAMR runtime mem", start = "_wamr_runtime_pool_start", end = "_wamr_runtime_pool_end"),
list(label = "WAMR linear mem", start = "_wamr_linear_pool_start", end = "_wamr_linear_pool_end"),
list(label = "WAMR global heap", start = "_wamr_global_heap_start", end = "_wamr_global_heap_end"),
list(label = "IWASM AOT runtime", start = "_iwasm_aot_runtime_start", end = "_iwasm_aot_runtime_end"),
list(label = "IWASM bh/util", start = "_iwasm_bh_start", end = "_iwasm_bh_end"),
list(label = "IWASM mem_alloc", start = "_iwasm_mem_alloc_start", end = "_iwasm_mem_alloc_end"),
list(label = "IWASM platform", start = "_iwasm_platform_init_start", end = "_iwasm_platform_init_end"),
list(label = "IWASM exec_env", start = "_iwasm_exec_env_start", end = "_iwasm_exec_env_end"),
list(label = "IWASM interp", start = "_iwasm_interp_classic_start", end = "_iwasm_interp_classic_end"),
list(label = "IWASM memory", start = "_iwasm_memory_start", end = "_iwasm_memory_end"),
list(label = "IWASM native", start = "_iwasm_native_start", end = "_iwasm_native_end"),
list(label = "IWASM runtime", start = "_iwasm_runtime_start", end = "_iwasm_runtime_end"),
list(
label = "WAMR os_mmap",
start = "_wamr_mmap_start",
end = "_wamr_mmap_end"
),
list(
label = "WAMR runtime mem",
start = "_wamr_runtime_pool_start",
end = "_wamr_runtime_pool_end"
),
list(
label = "WAMR linear mem",
start = "_wamr_linear_pool_start",
end = "_wamr_linear_pool_end"
),
list(
label = "WAMR global heap",
start = "_wamr_global_heap_start",
end = "_wamr_global_heap_end"
),
list(
label = "IWASM AOT runtime",
start = "_iwasm_aot_runtime_start",
end = "_iwasm_aot_runtime_end"
),
list(
label = "IWASM bh/util",
start = "_iwasm_bh_start",
end = "_iwasm_bh_end"
),
list(
label = "IWASM mem_alloc",
start = "_iwasm_mem_alloc_start",
end = "_iwasm_mem_alloc_end"
),
list(
label = "IWASM platform",
start = "_iwasm_platform_init_start",
end = "_iwasm_platform_init_end"
),
list(
label = "IWASM exec_env",
start = "_iwasm_exec_env_start",
end = "_iwasm_exec_env_end"
),
list(
label = "IWASM interp",
start = "_iwasm_interp_classic_start",
end = "_iwasm_interp_classic_end"
),
list(
label = "IWASM memory",
start = "_iwasm_memory_start",
end = "_iwasm_memory_end"
),
list(
label = "IWASM native",
start = "_iwasm_native_start",
end = "_iwasm_native_end"
),
list(
label = "IWASM runtime",
start = "_iwasm_runtime_start",
end = "_iwasm_runtime_end"
),
list(label = "TEXT", start = "_text_start", end = "_text_end"),
list(label = "BSS", start = "_sbss", end = "_ebss")
)
@ -75,22 +132,27 @@ if (length(args) < 1) {
}
experiment <- args[1]
faults_file <- if (length(args) >= 2) args[2] else "faults.csv"
suffix <- gsub("^faults|\\.csv$", "", faults_file)
# =============================================================================
# INPUT DATA (read once)
# =============================================================================
datafile <- file.path(experiment, "faults.csv")
datafile <- file.path(experiment, faults_file)
if (!file.exists(datafile)) {
stop(paste("Input file not found:", datafile))
}
raw <- read_csv(datafile, col_types = cols(
benchmark = col_character(),
resulttype = col_character(),
faults = col_double(),
fault_address = col_character() # hex string "0x10001A"; converted below
))
raw <- read_csv(
datafile,
col_types = cols(
benchmark = col_character(),
resulttype = col_character(),
faults = col_double(),
fault_address = col_character() # hex string "0x10001A"; converted below
)
)
# =============================================================================
# ELF SYMBOLS (parsed once)
@ -155,10 +217,12 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
# "0x10001A" -> substr strips "0x" -> strtoi parses base-16 -> integer
aggregated <- aggregated |>
mutate(addr_int = strtoi(
substr(.data$fault_address, 3L, nchar(.data$fault_address)),
16L
))
mutate(
addr_int = strtoi(
substr(.data$fault_address, 3L, nchar(.data$fault_address)),
16L
)
)
# ===========================================================================
# SCALE ROWS
@ -168,17 +232,24 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
row_width <- row_width_init
# Double row_width until occupied rows <= max_rows
while (row_width < 65536L && n_occupied_rows(
aggregated$addr_int, row_width
) > max_rows) {
while (
row_width < 65536L &&
n_occupied_rows(
aggregated$addr_int,
row_width
) >
max_rows
) {
row_width <- row_width * 2L
}
if (row_width > row_width_init) {
message(sprintf(
"Note: [%s/%s] row_width auto-scaled to %d (%d occupied rows)",
target_resulttype, target_benchmark,
row_width, n_occupied_rows(aggregated$addr_int, row_width)
target_resulttype,
target_benchmark,
row_width,
n_occupied_rows(aggregated$addr_int, row_width)
))
}
@ -210,8 +281,8 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
# - Adding that offset to 1...n gives the row_idx values with gap slots
cumulative_gaps <- cumsum(has_gap_before)
row_order <- tibble(
row = rows_sorted,
row_idx = seq_len(n_data_rows) + cumulative_gaps,
row = rows_sorted,
row_idx = seq_len(n_data_rows) + cumulative_gaps,
has_gap_before = has_gap_before
)
@ -240,8 +311,8 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
region_rects <- data.frame(
label = character(0),
ymin = numeric(0),
ymax = numeric(0)
ymin = numeric(0),
ymax = numeric(0)
)
if (length(sym_addr) > 0) {
@ -256,7 +327,8 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
# Row with base address r covers bytes r ... r + row_width - 1.
# Overlap if r < e && r + row_width > s
overlapping <- row_order[
row_order$row < e & (row_order$row + row_width) > s, ,
row_order$row < e & (row_order$row + row_width) > s,
,
drop = FALSE
]
@ -266,8 +338,8 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
data.frame(
label = reg$label,
ymin = min(overlapping$row_idx) - 0.5,
ymax = max(overlapping$row_idx) + 0.5
ymin = min(overlapping$row_idx) - 0.5,
ymax = max(overlapping$row_idx) + 0.5
)
})
@ -310,9 +382,14 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
# PLOT
# ===========================================================================
plot <- ggplot(grid_complete, aes(
x = col, y = .data$row_idx, fill = .data$faults
)) +
plot <- ggplot(
grid_complete,
aes(
x = col,
y = .data$row_idx,
fill = .data$faults
)
) +
# One rectangle per (col, row_idx) tuple
geom_tile(width = 1, height = 1, colour = NA) +
@ -330,10 +407,10 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
# Heatmap color ramp
scale_fill_viridis_c(
name = "Faults",
trans = "log1p",
name = "Faults",
trans = "log1p",
na.value = "grey85",
option = "viridis"
option = "viridis"
) +
# X-axis hex labels
@ -355,10 +432,13 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
# Title + axis labels
labs(
title = paste(target_resulttype, "/", target_benchmark),
subtitle = paste("Total:", format(
sum(aggregated$faults, na.rm = TRUE),
big.mark = ","
)),
subtitle = paste(
"Total:",
format(
sum(aggregated$faults, na.rm = TRUE),
big.mark = ","
)
),
x = "Byte Offset",
y = "Base Address"
) +
@ -367,7 +447,10 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
theme_minimal() +
theme(
axis.text.x = element_text(
family = "mono", angle = 45, hjust = 1, size = 9
family = "mono",
angle = 45,
hjust = 1,
size = 9
),
axis.text.y = element_text(family = "mono", size = 9),
panel.grid = element_blank(),
@ -399,9 +482,17 @@ make_heatmap <- function(target_resulttype, target_benchmark) {
fig_w <- row_width * tile_size + 4.5
fig_h <- total_slots * tile_size + 2.5
outfile <- file.path(experiment, paste0(
"heatmap_", target_resulttype, "_", target_benchmark, ".svg"
))
outfile <- file.path(
experiment,
paste0(
"heatmap_",
target_resulttype,
"_",
target_benchmark,
suffix,
".svg"
)
)
ggsave(outfile, plot = plot, width = fig_w, height = fig_h, units = "in")
message(sprintf("Saved: %s", basename(outfile)))

8
scripts/charts/single_result.r
View File

@ -1,10 +1,12 @@
library(ggplot2)
# Usage: Rscript single_result.r exp_abspath
# Usage: Rscript single_result.r exp_abspath [resultsdata_file]
args <- commandArgs(trailingOnly = TRUE)
experiment <- args[1]
datafile <- paste(experiment, "/resultsdata.csv", sep = "")
resultsdata_file <- if (length(args) >= 2) args[2] else "resultsdata.csv"
suffix <- gsub("^resultsdata|\\.csv$", "", resultsdata_file)
datafile <- file.path(experiment, resultsdata_file)
if (!file.exists(datafile)) {
print(paste("Input file", datafile, "is missing"))
@ -21,6 +23,6 @@ plot <- ggplot(data, aes(x = benchmark, y = faults, fill = resulttype)) +
theme_minimal()
ggsave(
paste(experiment, "/single_result.svg", sep = ""),
paste0(experiment, "/single_result", suffix, ".svg"),
plot = plot,
)

6
scripts/charts/single_scatter.r
View File

@ -6,7 +6,9 @@ library(ggplot2)
args <- commandArgs(trailingOnly = TRUE)
experiment <- args[1]
datafile <- paste(experiment, "/faults.csv", sep = "")
faults_file <- if (length(args) >= 2) args[2] else "faults.csv"
suffix <- gsub("^faults|\\.csv$", "", faults_file)
datafile <- file.path(experiment, faults_file)
if (!file.exists(datafile)) {
print(paste("Input file", datafile, "is missing"))
@ -27,6 +29,6 @@ plot <- ggplot(data, aes(x = fault_address, y = faults)) +
theme_minimal()
ggsave(
paste(experiment, "/scatter.svg", sep = ""),
paste0(experiment, "/scatter", suffix, ".svg"),
plot = plot,
)