ENAP: An efficient number-aware pruning framework for design space exploration of approximate configurations

Computer Science

• Iterations 100%
• Design-Space Exploration 100%
• Approximation (Algorithm) 100%
• Application 50%
• Design 50%
• Accuracy 50%
• Fault Tolerant 50%
• User 50%
• Approximate Computing 50%
• System Efficiency 50%
• Optimal Configuration 50%
• Search Space 50%
• Computer Architecture 50%
• Compression Rate 50%
• Error Characteristic 50%
• improved genetic algorithm 50%