Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
An approach for exploring code improving transformations
ACM Transactions on Programming Languages and Systems (TOPLAS)
Advanced compiler design and implementation
Advanced compiler design and implementation
Optimizing for reduced code space using genetic algorithms
Proceedings of the ACM SIGPLAN 1999 workshop on Languages, compilers, and tools for embedded systems
VISTA: a system for interactive code improvement
Proceedings of the joint conference on Languages, compilers and tools for embedded systems: software and compilers for embedded systems
Compiler Construction
Theory and Practice of Compiler Writing
Theory and Practice of Compiler Writing
A Machine Learning Approach to Automatic Production of Compiler Heuristics
AIMSA '02 Proceedings of the 10th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Compiler optimization-space exploration
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
Predicting the impact of optimizations for embedded systems
Proceedings of the 2003 ACM SIGPLAN conference on Language, compiler, and tool for embedded systems
Meta optimization: improving compiler heuristics with machine learning
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Combined Selection of Tile Sizes and Unroll Factors Using Iterative Compilation
PACT '00 Proceedings of the 2000 International Conference on Parallel Architectures and Compilation Techniques
Statistical Selection of Compiler Options
MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Fast and Effective Orchestration of Compiler Optimizations for Automatic Performance Tuning
Proceedings of the International Symposium on Code Generation and Optimization
In search of near-optimal optimization phase orderings
Proceedings of the 2006 ACM SIGPLAN/SIGBED conference on Language, compilers, and tool support for embedded systems
PEAK—a fast and effective performance tuning system via compiler optimization orchestration
ACM Transactions on Programming Languages and Systems (TOPLAS)
Improving both the performance benefits and speed of optimization phase sequence searches
Proceedings of the ACM SIGPLAN/SIGBED 2010 conference on Languages, compilers, and tools for embedded systems
JIT compilation policy for modern machines
Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications
Exploring single and multilevel JIT compilation policy for modern machines 1
ACM Transactions on Architecture and Code Optimization (TACO)
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Finding nearly optimal optimization settings for modern compilers which can utilize a large number of optimizations is a combinatorially exponential problem. In this paper, we investigate whether in the presence of many optimization choices random generation of compiler settings can be used to obtain well performing compiler settings. We apply this random generation of compiler setting to gcc 3.3.1 which implements 54 optimizations. Our results show that this technique can be used to obtain a setting which exceeds the performance of the default optimization settings O1, O2, and O3 for each program in the SPECint95 benchmark suite. We also apply this technique to obtain a general setting which is suitable for many programs. This setting performs equally well as the default settings using significantly less options. Finally, we compare our setting with the default settings of gcc and analyze the difference.