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build,win: add PGO workload scripts · nodejs/node@1a4f5e5 · GitHub

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build,win: add PGO workload scripts
Signed-off-by: StefanStojanovic <stefan.stojanovic@janeasystems.com> PR-URL: #63696 Refs: #61964 Reviewed-By: Richard Lau <richard.lau@ibm.com>
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‎pgo.ps1‎

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# PGO (Profile-Guided Optimization) training script for Node.js (Clang / LLVM)
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#
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# Runs PGO training workloads against an instrumented Node.js binary
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# (Release\node.exe) and merges the resulting .profraw files into
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# node.profdata for use with -fprofile-use.
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#
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# Usage (from a VS Developer Command Prompt):
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# .\pgo.ps1 # Run workloads (15s each) and merge
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# .\pgo.ps1 -Duration 30 # Run workloads (30s each) and merge
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#
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# Prerequisites:
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# - Release\node.exe must be an instrumented build (built with pgo-generate)
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# - llvm-profdata must be available (shipped with VS LLVM toolset)
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#
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# Output:
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# - node.profdata in the repo root (ready for vcbuild.bat pgo-use)
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param(
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[int]$Duration = 15
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)
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Set-StrictMode -Version Latest
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$ErrorActionPreference = 'Stop'
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# ---------------------------------------------------------------------------
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# Locate llvm-profdata shipped with Visual Studio's LLVM toolset
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# ---------------------------------------------------------------------------
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function Find-LlvmProfdata {
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# vcbuild.bat uses %VCINSTALLDIR%\Tools\Llvm\x64\bin for clang.exe - same spot for profdata
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$vcInstallDir = $env:VCINSTALLDIR
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if ($vcInstallDir) {
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$candidate = Join-Path $vcInstallDir "Tools\Llvm\x64\bin\llvm-profdata.exe"
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if (Test-Path $candidate) {
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return $candidate
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}
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}
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# Fallback: try VS 2022 / 2026 default install locations
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$vsPaths = @(
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"${env:ProgramFiles}\Microsoft Visual Studio\2026\Enterprise\VC\Tools\Llvm\x64\bin",
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"${env:ProgramFiles}\Microsoft Visual Studio\2026\Community\VC\Tools\Llvm\x64\bin",
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"${env:ProgramFiles}\Microsoft Visual Studio\2022\Enterprise\VC\Tools\Llvm\x64\bin",
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"${env:ProgramFiles}\Microsoft Visual Studio\2022\Community\VC\Tools\Llvm\x64\bin"
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)
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foreach ($dir in $vsPaths) {
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$candidate = Join-Path $dir "llvm-profdata.exe"
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if (Test-Path $candidate) {
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return $candidate
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}
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}
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# Last resort: PATH
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$fromPath = Get-Command llvm-profdata -ErrorAction SilentlyContinue
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if ($fromPath) {
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return $fromPath.Source
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}
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return $null
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}
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# ---------------------------------------------------------------------------
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# Validate prerequisites
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# ---------------------------------------------------------------------------
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$instrumentedNode = Join-Path $PSScriptRoot "Release\node.exe"
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if (-not (Test-Path $instrumentedNode)) {
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Write-Error "Instrumented binary not found: $instrumentedNode`nBuild with: vcbuild.bat pgo-generate"
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exit 1
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}
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$pgoRunAll = Join-Path $PSScriptRoot "tools\pgo\pgo-run-all.js"
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if (-not (Test-Path $pgoRunAll)) {
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Write-Error "PGO training script not found: $pgoRunAll"
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exit 1
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}
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$llvmProfdata = Find-LlvmProfdata
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if (-not $llvmProfdata) {
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Write-Error "llvm-profdata not found. Install the LLVM toolset via Visual Studio Installer."
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exit 1
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}
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# ---------------------------------------------------------------------------
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# STEP 1 – Run workloads with the instrumented binary to collect profiles
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# ---------------------------------------------------------------------------
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Write-Host "`n=== STEP 1: Collect PGO profiles ===" -ForegroundColor Cyan
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# Directory that will receive .profraw files from the instrumented binary.
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# %p (PID) and %m (module hash) keep concurrent/fork'd processes from colliding.
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$profileDir = Join-Path $PSScriptRoot "pgo-profiles"
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if (Test-Path $profileDir) {
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Remove-Item -Recurse -Force $profileDir
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}
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New-Item -ItemType Directory -Path $profileDir | Out-Null
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$env:LLVM_PROFILE_FILE = Join-Path $profileDir "node-%p-%m.profraw"
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Write-Host "Instrumented node : $instrumentedNode"
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Write-Host "Profile output : $($env:LLVM_PROFILE_FILE)"
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Write-Host "Duration per script: ${Duration}s"
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Write-Host ""
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$sw = [System.Diagnostics.Stopwatch]::StartNew()
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$proc = Start-Process `
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-FilePath $instrumentedNode `
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-ArgumentList "`"$pgoRunAll`" --verbose --duration=$Duration" `
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-Wait -PassThru -NoNewWindow
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$sw.Stop()
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Write-Host ("PGO training completed in {0}m {1}s (exit code: {2})" -f `
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$sw.Elapsed.Minutes, $sw.Elapsed.Seconds, $proc.ExitCode)
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if ($proc.ExitCode -ne 0) {
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Write-Warning "PGO training exited with code $($proc.ExitCode) - continuing with merge"
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}
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# Remove the env var so subsequent builds are not affected
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Remove-Item Env:\LLVM_PROFILE_FILE -ErrorAction SilentlyContinue
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# ---------------------------------------------------------------------------
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# STEP 2 – Merge .profraw files -> node.profdata
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# ---------------------------------------------------------------------------
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Write-Host "`n=== STEP 2: Merge profile data ===" -ForegroundColor Cyan
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Write-Host "Using llvm-profdata: $llvmProfdata"
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$profrawFiles = Get-ChildItem -Path $profileDir -Filter "*.profraw" -ErrorAction SilentlyContinue
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if ($profrawFiles.Count -eq 0) {
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Write-Error "No .profraw files found in '$profileDir'. The instrumented binary may not have generated profile data."
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exit 1
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}
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$totalSize = ($profrawFiles | Measure-Object -Property Length -Sum).Sum
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$totalSizeMB = [math]::Round($totalSize / 1MB, 1)
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Write-Host "Found $($profrawFiles.Count) .profraw file(s), ${totalSizeMB} MB total"
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$profdata = Join-Path $PSScriptRoot "node.profdata"
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$mergeArgs = @("merge", "--output=$profdata") + ($profrawFiles | Select-Object -ExpandProperty FullName)
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$mergeStopwatch = [System.Diagnostics.Stopwatch]::StartNew()
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& $llvmProfdata @mergeArgs
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$mergeExitCode = $LASTEXITCODE
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$mergeStopwatch.Stop()
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if ($mergeExitCode -ne 0) {
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Write-Error "llvm-profdata merge failed (exit code $mergeExitCode)"
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exit $mergeExitCode
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}
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$profdataSize = [math]::Round((Get-Item $profdata).Length / 1MB, 1)
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Write-Host "Merge completed in $([math]::Round($mergeStopwatch.Elapsed.TotalSeconds, 1))s"
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# Clean up .profraw files now that they've been merged
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Remove-Item -Recurse -Force $profileDir
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Write-Host "Removed $($profrawFiles.Count) .profraw file(s) (${totalSizeMB} MB reclaimed)"
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Write-Host "`n=== PGO training complete ===" -ForegroundColor Green
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Write-Host " Profile data: $profdata (${profdataSize} MB)"
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Write-Host " Next step: vcbuild.bat pgo-use"

‎tools/pgo/README.md‎

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# Node.js PGO Training Scripts
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Training workloads for Profile-Guided Optimization (PGO) builds using
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Clang/LLVM (including Clang-CL on Windows).
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## What is PGO?
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PGO uses runtime profile data to guide compiler optimizations (inlining,
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branch prediction, code layout), typically improving throughput by 5-20%.
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The process has three phases:
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1. **Instrument** — Build with `-fprofile-generate` (produces `.profraw` files)
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2. **Train** — Run representative workloads to collect profile data
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3. **Optimize** — Merge `.profraw` → `node.profdata` via `llvm-profdata`,
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then rebuild with `-fprofile-use`
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## Quick Start
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From a VS Developer Command Prompt:
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```powershell
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# Step 1: Build the instrumented binary
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vcbuild.bat pgo-generate
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# Step 2: Run workloads and merge profile data
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.\pgo.ps1
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# Step 3: Build the optimized binary
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vcbuild.bat pgo-use
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```
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`pgo.ps1` expects the instrumented binary at `Release\node.exe` (produced by
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step 1) and writes `node.profdata` to the repo root (consumed by step 3).
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```powershell
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# Optionally set a longer training duration (default: 15s per script)
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.\pgo.ps1 -Duration 30
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```
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## Training Scripts
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All scripts use only Node.js built-in modules (no npm dependencies).
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Each script is run as a separate process via `fork()`, producing its own
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`.profraw` file.
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| Script | What it exercises |
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| ------------------------ | ------------------------------------------------------------- |
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| `pgo-http-server.js` | llhttp parser, TCP stack, header serialization, JSON, routing |
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| `pgo-json.js` | V8 JSON parser/serializer, string allocation, GC pressure |
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| `pgo-crypto.js` | OpenSSL (hashing, HMAC, AES, RSA, ECDSA, random, KDF) |
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| `pgo-streams-buffers.js` | Buffer C++ impl, stream state machine, back-pressure |
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| `pgo-fs.js` | libuv fs operations, thread pool, path module |
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| `pgo-async-patterns.js` | V8 Promises, microtask queue, EventEmitter, timers |
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| `pgo-url-string.js` | Ada URL parser, V8 string internals, regex JIT |
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| `pgo-compression.js` | zlib, brotli C libraries, streaming compression |
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| `pgo-net.js` | libuv TCP/pipe handles, c-ares DNS resolver |
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| `pgo-module-loading.js` | Module resolver, V8 script compilation, vm module |
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| `pgo-child-workers.js` | Worker thread messaging, SharedArrayBuffer, inline eval |
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### Running the Orchestrator Directly
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The orchestrator can also be invoked directly (e.g. for testing individual
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workloads). When used with `pgo.ps1`, this is handled automatically.
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```bash
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# Run all scripts
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node tools/pgo/pgo-run-all.js --duration=15 --verbose
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# Run specific scripts
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node tools/pgo/pgo-run-all.js --scripts=http-server,json,crypto --duration=30
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# Show help
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node tools/pgo/pgo-run-all.js --help
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```
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Each script reads the `PGO_TRAINING_DURATION` environment variable (in
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milliseconds) to determine how long to run. The orchestrator sets this
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automatically from the `--duration` flag (in seconds).
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## Files
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```
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tools/pgo/
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├── pgo-run-all.js # Training orchestrator
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├── pgo-http-server.js # HTTP server + client workload
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├── pgo-json.js # JSON parse/stringify workload
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├── pgo-crypto.js # Crypto operations workload
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├── pgo-streams-buffers.js # Streams and Buffer workload
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├── pgo-fs.js # File system operations workload
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├── pgo-async-patterns.js # Promise/async, EventEmitter, timers workload
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├── pgo-url-string.js # URL parsing, string ops, regex workload
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├── pgo-compression.js # Gzip/brotli/deflate compression workload
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├── pgo-net.js # TCP networking and DNS workload
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├── pgo-module-loading.js # Module require/import, VM compilation workload
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├── pgo-child-workers.js # Worker threads workload
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└── README.md # This file
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```

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