Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
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
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
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
Fast searches for effective optimization phase sequences
Proceedings of the ACM SIGPLAN 2004 conference on Programming language design and implementation
Finding effective compilation sequences
Proceedings of the 2004 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
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
Microarchitecture Sensitive Empirical Models for Compiler Optimizations
Proceedings of the International Symposium on Code Generation and Optimization
Rapidly Selecting Good Compiler Optimizations using Performance Counters
Proceedings of the International Symposium on Code Generation and Optimization
Program optimization space pruning for a multithreaded gpu
Proceedings of the 6th annual IEEE/ACM international symposium on Code generation and optimization
Iterative optimization in the polyhedral model: part ii, multidimensional time
Proceedings of the 2008 ACM SIGPLAN conference on Programming language design and implementation
Program optimization carving for GPU computing
Journal of Parallel and Distributed Computing
Exploring and predicting the architecture/optimising compiler co-design space
CASES '08 Proceedings of the 2008 international conference on Compilers, architectures and synthesis for embedded systems
Convergent Compilation Applied to Loop Unrolling
Transactions on High-Performance Embedded Architectures and Compilers I
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Proceedings of the 7th annual IEEE/ACM International Symposium on Code Generation and Optimization
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
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
Eliminating false phase interactions to reduce optimization phase order search space
CASES '10 Proceedings of the 2010 international conference on Compilers, architectures and synthesis for embedded systems
On the impact of data input sets on statistical compiler tuning
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
An evaluation of different modeling techniques for iterative compilation
CASES '11 Proceedings of the 14th international conference on Compilers, architectures and synthesis for embedded systems
Using machine learning to improve automatic vectorization
ACM Transactions on Architecture and Code Optimization (TACO) - HIPEAC Papers
ACM Transactions on Embedded Computing Systems (TECS)
Predictive modeling in a polyhedral optimization space
CGO '11 Proceedings of the 9th Annual IEEE/ACM International Symposium on Code Generation and Optimization
AutoTune: a plugin-driven approach to the automatic tuning of parallel applications
PARA'12 Proceedings of the 11th international conference on Applied Parallel and Scientific Computing
Preliminary results for neuroevolutionary optimization phase order generation for static compilation
Proceedings of the 11th Workshop on Optimizations for DSP and Embedded Systems
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In this paper, we propose a statistical method to determine the setting of compiler options. Conventionally, programmers use standard -Ox settings which are provided by compiler developers. However, in order to obtain maximal performance, it is necessary to tune the compiler setting for the application as well as the underlying architecture. In this paper, we propose a methodology to con?gure compiler options automatically using pro?le information. We apply non-parametric statistical analysis, in particular the Mann-Whitney test, to decide whether to turn on or to turn off compiler flags. This approach produces compiler settings of gcc 3.3.1 for the SPEC2000 benchmark suite that outperform the standard -Ox switches on a Pentium 4 processor.