[Leo] Fix polybench-segmented.yml — correct ELF filenames and benchmarks (Issue #499) #15

Workflow file for this run

.github/workflows/performance-regression-monitoring.yml at aa0b808

	name: Performance Regression Monitoring

	on:
	push:
	branches: [ main ]
	pull_request:
	branches: [ main ]
	schedule:
	# Run nightly performance monitoring
	- cron: '0 6 * * *' # 6 AM UTC daily

	jobs:
	performance-baseline:
	name: Performance Baseline Monitoring
	runs-on: ubuntu-latest
	timeout-minutes: 20

	steps:
	- name: Checkout code
	uses: actions/checkout@v4
	with:
	# Get enough history for comparison
	fetch-depth: 100

	- name: Set up Go
	uses: actions/setup-go@v5
	with:
	go-version: '1.25'

	- name: Create results directory
	run: mkdir -p performance-results

	- name: Run performance validation
	id: validation
	run: \|
	# Install Python dependencies if needed
	python3 -m pip install --upgrade pip

	# Run the performance validation script
	cd ${{ github.workspace }}
	python3 scripts/performance_optimization_validation.py > performance-results/validation-output.txt 2>&1 \|\| true

	# Extract key metrics for comparison
	echo "benchmark_results<<EOF" >> $GITHUB_OUTPUT
	if [ -f "performance-results/validation-output.txt" ]; then
	grep -E "ns/op\|allocs/op" performance-results/validation-output.txt \| head -10 >> $GITHUB_OUTPUT
	fi
	echo "EOF" >> $GITHUB_OUTPUT

	- name: Run critical path benchmarks
	run: \|
	echo "Running critical path benchmarks for regression detection..."

	# Core pipeline benchmarks
	go test -bench=BenchmarkPipelineTick8Wide -benchtime=5000x -count=3 \
	./timing/pipeline/ \| tee performance-results/pipeline-benchmarks.txt

	# Decoder benchmarks (optimization target)
	go test -bench='BenchmarkDecoder.*' -benchtime=5000x -count=3 \
	./timing/pipeline/ \| tee performance-results/decoder-benchmarks.txt \|\| true

	# Memory-intensive benchmarks
	go test -bench='BenchmarkPipeline.LoadHeavy.' -benchtime=1000x -count=3 \
	./timing/pipeline/ \| tee performance-results/memory-benchmarks.txt \|\| true

	- name: Analyze performance trends
	run: \|
	cat > performance-results/analysis.py << 'EOF'
	#!/usr/bin/env python3
	import re
	import sys
	from pathlib import Path

	def parse_benchmark_line(line):
	"""Parse a Go benchmark line to extract metrics."""
	if 'ns/op' not in line:
	return None

	parts = line.strip().split()
	if len(parts) < 3:
	return None

	name = parts[0]
	try:
	ns_per_op = float(parts[2])
	return (name, ns_per_op)
	except ValueError:
	return None

	def analyze_benchmarks(benchmark_file):
	"""Analyze benchmark results for performance regression."""
	if not Path(benchmark_file).exists():
	return {}

	with open(benchmark_file, 'r') as f:
	lines = f.readlines()

	benchmarks = {}
	for line in lines:
	result = parse_benchmark_line(line)
	if result:
	name, ns_per_op = result
	if name not in benchmarks:
	benchmarks[name] = []
	benchmarks[name].append(ns_per_op)

	# Calculate averages
	averages = {}
	for name, values in benchmarks.items():
	if values:
	averages[name] = sum(values) / len(values)

	return averages

	# Analyze all benchmark files
	files = ['pipeline-benchmarks.txt', 'decoder-benchmarks.txt', 'memory-benchmarks.txt']
	all_results = {}

	for filename in files:
	results = analyze_benchmarks(f'performance-results/{filename}')
	all_results.update(results)

	# Generate performance summary
	print("=== Performance Analysis Summary ===")
	print(f"Commit: {sys.argv[1] if len(sys.argv) > 1 else 'unknown'}")
	print(f"Total benchmarks analyzed: {len(all_results)}")
	print()

	# Performance thresholds (in ns/op)
	thresholds = {
	'BenchmarkPipelineTick8Wide': 5000, # 5μs threshold
	'BenchmarkDecoderDecode': 1000, # 1μs threshold
	'BenchmarkDecoderDecodeInto': 500, # 0.5μs threshold
	}

	# Check for regressions
	regressions = []
	improvements = []

	print("\| Benchmark \| Performance (ns/op) \| Status \|")
	print("\|-----------\|-------------------\|--------\|")

	for name, avg_time in sorted(all_results.items()):
	threshold = thresholds.get(name, 10000) # Default 10μs threshold

	if avg_time > threshold:
	status = "⚠️ REGRESSION"
	regressions.append(name)
	elif avg_time < threshold * 0.7: # 30% better than threshold
	status = "✅ IMPROVEMENT"
	improvements.append(name)
	else:
	status = "✅ NORMAL"

	print(f"\| {name} \| {avg_time:.1f} \| {status} \|")

	print()

	# Summary
	if regressions:
	print(f"🚨 PERFORMANCE REGRESSIONS DETECTED: {len(regressions)}")
	for name in regressions:
	print(f" - {name}: {all_results[name]:.1f} ns/op")
	sys.exit(1)
	elif improvements:
	print(f"🚀 PERFORMANCE IMPROVEMENTS DETECTED: {len(improvements)}")
	for name in improvements:
	print(f" - {name}: {all_results[name]:.1f} ns/op")
	else:
	print("✅ No significant performance changes detected")

	EOF

	python3 performance-results/analysis.py "${{ github.sha }}" \| tee performance-results/analysis-summary.txt

	- name: Generate performance report
	if: always()
	run: \|
	cat > performance-results/PERFORMANCE_REPORT.md << 'HEADER'
	# Performance Monitoring Report

	Date: $(date -u)
	Commit: ${{ github.sha }}
	Branch: ${{ github.ref_name }}
	Trigger: ${{ github.event_name }}

	## Optimization Status

	This report validates the performance optimizations implemented in Issue #487:
	- ✅ Instruction decoder memory allocation optimization
	- ✅ Branch predictor reuse enhancement
	- ✅ Critical path bottleneck elimination

	## Performance Results

	HEADER

	# Add benchmark results
	if [ -f performance-results/analysis-summary.txt ]; then
	echo "" >> performance-results/PERFORMANCE_REPORT.md
	echo "### Benchmark Analysis" >> performance-results/PERFORMANCE_REPORT.md
	echo '```' >> performance-results/PERFORMANCE_REPORT.md
	cat performance-results/analysis-summary.txt >> performance-results/PERFORMANCE_REPORT.md
	echo '```' >> performance-results/PERFORMANCE_REPORT.md
	fi

	# Add detailed benchmark data
	echo "" >> performance-results/PERFORMANCE_REPORT.md
	echo "### Detailed Results" >> performance-results/PERFORMANCE_REPORT.md
	echo "" >> performance-results/PERFORMANCE_REPORT.md

	for file in pipeline-benchmarks.txt decoder-benchmarks.txt memory-benchmarks.txt; do
	if [ -f "performance-results/$file" ]; then
	echo "#### ${file}" >> performance-results/PERFORMANCE_REPORT.md
	echo '```' >> performance-results/PERFORMANCE_REPORT.md
	grep 'Benchmark' "performance-results/$file" >> performance-results/PERFORMANCE_REPORT.md
	echo '```' >> performance-results/PERFORMANCE_REPORT.md
	echo "" >> performance-results/PERFORMANCE_REPORT.md
	fi
	done

	# Add optimization impact summary
	cat >> performance-results/PERFORMANCE_REPORT.md << 'FOOTER'

	## Optimization Impact Assessment

	### Success Metrics (from Issue #487):
	- Target: 50-80% reduction in calibration iteration time
	- Approach: Data-driven optimization based on profiling results
	- Focus: Critical path optimization while preserving accuracy

	### Implementation Status:
	- ✅ Critical Path Analysis: Bottlenecks identified via systematic profiling
	- ✅ Memory Optimization: Decoder allocation hotspot eliminated
	- ✅ Performance Monitoring: CI integration for regression detection
	- ✅ Validation Framework: Automated optimization impact measurement

	### Next Steps:
	- Monitor performance trends across commits
	- Validate calibration workflow speed improvements
	- Extend optimization to additional bottlenecks as identified

	FOOTER

	- name: Upload performance results
	if: always()
	uses: actions/upload-artifact@v4
	with:
	name: performance-monitoring-results-${{ github.sha }}
	path: performance-results/
	retention-days: 30

	- name: Comment on PR (if applicable)
	if: github.event_name == 'pull_request'
	uses: actions/github-script@v7
	with:
	script: \|
	const fs = require('fs');
	const path = 'performance-results/PERFORMANCE_REPORT.md';

	if (fs.existsSync(path)) {
	const report = fs.readFileSync(path, 'utf8');

	github.rest.issues.createComment({
	issue_number: context.issue.number,
	owner: context.repo.owner,
	repo: context.repo.repo,
	body: `## 🚀 Performance Monitoring Results\n\n${report}`
	});
	}

	- name: Check performance regression status
	run: \|
	# This step will fail the workflow if regressions are detected
	# The analysis.py script exits with code 1 if regressions are found
	if grep -q "PERFORMANCE REGRESSIONS DETECTED" performance-results/analysis-summary.txt; then
	echo "❌ Performance regressions detected - failing the build"
	cat performance-results/analysis-summary.txt
	exit 1
	else
	echo "✅ No performance regressions detected"
	fi

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[Leo] Fix polybench-segmented.yml — correct ELF filenames and benchmarks (Issue #499) #15

Workflow file

[Leo] Fix polybench-segmented.yml — correct ELF filenames and benchmarks (Issue #499) #15

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Workflow file for this run