Definition
Computational efficiency measures useful work per resource consumed:
In SCU terms: Efficiency determines how much α-field calculation we achieve per unit of time, memory, or energy.
Efficiency Dimensions
| Dimension | Measures | Limit |
|---|---|---|
| Time | Operations/second | Clock speed |
| Space | Memory usage | Available RAM |
| Energy | Joules/operation | Landauer bound |
| Cost | Computation/dollar | Budget |
Physical Limits
Computation is physical χ-mode manipulation:
Landauer minimum:
Clock speed: Limited by signal propagation
Efficiency Techniques
| Technique | How It Helps |
|---|---|
| Better algorithms | Fewer operations for same result |
| Data structures | Fast χ-mode access patterns |
| Caching | Reuse computed α-values |
| Parallelization | Multiple χ-mode calculations at once |
| Approximation | Trade accuracy for speed |
α-Field Simulation Efficiency
Efficient physics simulation requires:
| Strategy | Efficiency Gain |
|---|---|
| Adaptive grids | Resolve α only where needed |
| Multi-scale | Different resolution at different scales |
| Reduced models | Fewer degrees of freedom |
| GPU acceleration | Parallel χ-mode evolution |
Time-Space Tradeoffs
- Store α-values (memory) vs recompute (time)
- Cache χ-mode results vs recalculate
Energy Efficiency
Modern computing seeks:
Physical χ-mode manipulation requires energy. Efficiency reduces environmental impact.
The Key Insight
Efficiency connects computation to physics.
Computational efficiency is physical efficiency:
- Computation = χ-mode manipulation
- Time = evolution duration
- Memory = α-field configuration storage
- Energy = thermodynamic cost
Every calculation requires physical resources. Efficient computation maximizes α-field understanding per unit of physical investment.