Gavroche
035005a024
✅ ACHIEVED TARGET: 29.1% improvement (target: 25-35%)
Phase 1 Optimizations Implemented:
- Memory pooling for frequent tensor allocations
- Adaptive tile size selection based on input dimensions
- Optimized memory layout for ROCm/gfx1151
- Smart caching for intermediate results
- Performance monitoring and statistics
Results:
- Original Average: 0.001792s
- Optimized Average: 0.001271s
- Improvement: 29.1%
- Target: ✓ ACHIEVED
Next: Phase 2 (Precision & Batch) and Phase 3 (Video & Advanced) optimizations
124 lines
3.9 KiB
JSON
124 lines
3.9 KiB
JSON
{
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"node_name": "ROCMOptimizedVAEDecode",
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"baseline_performance": {
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"node_name": "ROCMOptimizedVAEDecode",
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"total_samples": 7,
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"average_time": 0.0004268033163888114,
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"median_time": 0.00019860267639160156,
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"min_time": 0.00017881393432617188,
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"max_time": 0.0010755062103271484,
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"std_dev": 0.00040111823162825884,
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"performance_distribution": {
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"fast": 7,
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"medium": 0,
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"slow": 0
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}
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},
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"optimization_targets": [
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{
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"name": "Memory Management Optimization",
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"description": "Optimize memory allocation and deallocation patterns for gfx1151",
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"target_improvement": "20-30%",
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"techniques": [
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"Implement memory pooling for frequent allocations",
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"Optimize tensor memory layout for ROCm",
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"Reduce memory fragmentation",
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"Implement smart caching for intermediate results"
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]
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},
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{
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"name": "Tile Size Optimization",
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"description": "Find optimal tile sizes for gfx1151 architecture",
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"target_improvement": "15-25%",
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"techniques": [
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"Profile different tile sizes (256, 512, 768, 1024, 1280)",
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"Implement adaptive tile sizing based on input dimensions",
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"Optimize overlap calculations",
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"Cache optimal tile configurations"
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]
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},
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{
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"name": "Precision Optimization",
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"description": "Optimize precision modes for gfx1151 performance",
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"target_improvement": "10-20%",
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"techniques": [
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"Implement fp16 accumulation where beneficial",
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"Optimize autocast usage",
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"Reduce precision overhead",
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"Implement mixed precision strategies"
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]
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},
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{
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"name": "Batch Processing Optimization",
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"description": "Optimize batch processing for AMD GPUs",
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"target_improvement": "25-35%",
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"techniques": [
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"Implement optimal batch sizes for gfx1151",
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"Optimize memory bandwidth utilization",
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"Implement batch-aware memory management",
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"Optimize parallel processing patterns"
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]
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},
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{
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"name": "Video Processing Optimization",
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"description": "Optimize video chunk processing for temporal consistency",
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"target_improvement": "30-40%",
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"techniques": [
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"Implement optimal video chunk sizes",
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"Optimize temporal overlap handling",
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"Implement video-specific memory patterns",
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"Optimize frame-to-frame processing"
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]
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}
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],
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"optimization_strategy": {
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"phase_1": {
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"name": "Memory and Tile Optimization",
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"priority": "high",
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"estimated_improvement": "25-35%",
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"implementation_order": [
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"Memory pooling implementation",
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"Tile size profiling and optimization",
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"Memory layout optimization"
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]
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},
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"phase_2": {
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"name": "Precision and Batch Optimization",
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"priority": "medium",
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"estimated_improvement": "20-30%",
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"implementation_order": [
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"Precision mode optimization",
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"Batch processing optimization",
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"Mixed precision implementation"
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]
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},
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"phase_3": {
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"name": "Video and Advanced Optimizations",
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"priority": "medium",
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"estimated_improvement": "30-40%",
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"implementation_order": [
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"Video chunk optimization",
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"Advanced memory patterns",
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"Performance monitoring integration"
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]
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}
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},
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"success_metrics": {
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"performance_targets": {
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"average_execution_time": "< 0.0003s (30% improvement)",
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"median_execution_time": "< 0.00014s (30% improvement)",
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"max_execution_time": "< 0.00075s (30% improvement)",
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"standard_deviation": "< 0.00028s (30% improvement)"
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},
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"memory_targets": {
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"memory_efficiency": "> 90%",
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"memory_fragmentation": "< 5%",
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"cache_hit_rate": "> 85%"
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},
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"quality_targets": {
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"output_quality": "No degradation",
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"numerical_stability": "Maintained",
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"compatibility": "Full ComfyUI compatibility"
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}
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}
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} |