data value prediction
DESCRIPTION
Data value prediction. Bas van der Tol. Limits to ILP. Instruction Level Parallelism is limited by Control flow Data flow: true dependencies. Types of Speculative Execution. Sources of predicatable data. Data redundancy Error-checking Program constants Virtual function calls Glue code - PowerPoint PPT PresentationTRANSCRIPT
Data value prediction
Bas van der Tol
Limits to ILP
Instruction Level Parallelism is limited by
• Control flow
• Data flow: true dependencies
Types of Speculative Execution
Sources of predicatable data
• Data redundancy
• Error-checking
• Program constants
• Virtual function calls
• Glue code
• Call-subgraph identities
• Register spill code
Register value locality
Value Prediction Unit
VPT Hit rate sensitivity to Size
Example use of Value Prediction
Penalties
• Misprediction penalty• Structural hazards, both on correct and mispredictions
Penalties
Configurations used for experiments
PowerPC 620 Speedup
PowerPC 620+ Speedup
Infinite Machine Model Speedup
Data cache vs. Value Prediction
Improving Prediction Accuracy
• Last Value Prediction
• Stride Prediction
• Finite Context Method Predictors (fcm)
Finite Context Models
Prediction Success
Conclusions
• Data value prediction increases performance by 5% on PowerPC 620
• A performance gain of 23% is possible
Future Developments
• More parallel execution units
• Better prediction models