| name | optimization-performance |
| version | 2.0.0 |
| description | Game optimization, performance profiling, multi-platform support, and
frame rate optimization for smooth gameplay experiences.
|
| sasmp_version | 1.3.0 |
| bonded_agent | 02-game-programmer |
| bond_type | SECONDARY_BOND |
| parameters | [{"name":"bottleneck","type":"string","required":false,"validation":{"enum":["cpu","gpu","memory","loading","network"]}},{"name":"platform","type":"string","required":false,"validation":{"enum":["pc","console","mobile","vr","web"]}}] |
| retry_policy | {"enabled":true,"max_attempts":3,"backoff":"exponential"} |
| observability | {"log_events":["start","complete","error"],"metrics":["frame_time_ms","draw_calls","memory_mb","cpu_usage"]} |
Optimization & Performance
Performance Targets
FRAME BUDGETS:
┌─────────────────────────────────────────────────────────────┐
│ TARGET FPS │ FRAME TIME │ PLATFORM │
├─────────────┼────────────┼─────────────────────────────────┤
│ 30 FPS │ 33.3 ms │ Console (heavy games) │
│ 60 FPS │ 16.6 ms │ PC, Console, Mobile │
│ 90 FPS │ 11.1 ms │ VR (minimum) │
│ 120 FPS │ 8.3 ms │ Competitive games │
│ 144+ FPS │ 6.9 ms │ High-end PC │
└─────────────┴────────────┴─────────────────────────────────┘
FRAME TIME BREAKDOWN (16.6ms target):
┌─────────────────────────────────────────────────────────────┐
│ CPU: 8ms │
│ ├─ Game Logic: 3ms │
│ ├─ Physics: 2ms │
│ ├─ Animation: 1.5ms │
│ └─ Audio/Other: 1.5ms │
│ │
│ GPU: 8ms │
│ ├─ Geometry: 2ms │
│ ├─ Lighting: 3ms │
│ ├─ Post-process: 2ms │
│ └─ UI: 1ms │
└─────────────────────────────────────────────────────────────┘
Profiling Process
OPTIMIZATION WORKFLOW:
┌─────────────────────────────────────────────────────────────┐
│ 1. MEASURE: Profile before optimizing │
│ → Never guess, always profile │
│ │
│ 2. IDENTIFY: Find the bottleneck │
│ → CPU-bound: Frame time > GPU time │
│ → GPU-bound: GPU time > CPU time │
│ │
│ 3. ANALYZE: Drill into specific systems │
│ → Which function? Which shader? Which asset? │
│ │
│ 4. OPTIMIZE: Fix the actual bottleneck │
│ → One change at a time │
│ → Measure before/after │
│ │
│ 5. VERIFY: Confirm improvement │
│ → Check all platforms │
│ → Test edge cases │
│ │
│ 6. REPEAT: Move to next bottleneck │
└─────────────────────────────────────────────────────────────┘
CPU Optimization
CPU OPTIMIZATION TECHNIQUES:
┌─────────────────────────────────────────────────────────────┐
│ ALGORITHMIC: │
│ • Use appropriate data structures (spatial hashing) │
│ • Early-out conditions │
│ • Reduce O(n²) to O(n log n) │
├─────────────────────────────────────────────────────────────┤
│ CACHE: │
│ • Data-oriented design (SoA vs AoS) │
│ • Minimize cache misses │
│ • Process data linearly │
├─────────────────────────────────────────────────────────────┤
│ ALLOCATION: │
│ • Object pooling │
│ • Avoid GC in hot paths │
│ • Pre-allocate collections │
├─────────────────────────────────────────────────────────────┤
│ THREADING: │
│ • Offload work to job system │
│ • Async loading │
│ • Parallel processing │
└─────────────────────────────────────────────────────────────┘
