Learning to schedule straight-line code

Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts

Machine Learning

Inducing heuristics to decide whether to schedule

Proceedings of the ACM SIGPLAN 2004 conference on Programming language design and implementation

Adaptive java optimisation using instance-based learning

Proceedings of the 18th annual international conference on Supercomputing

Predicting Unroll Factors Using Supervised Classification

Proceedings of the international symposium on Code generation and optimization

Learning basic block scheduling heuristics from optimal data

CASCON '05 Proceedings of the 2005 conference of the Centre for Advanced Studies on Collaborative research

Method-specific dynamic compilation using logistic regression

Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications

A spatial path scheduling algorithm for EDGE architectures

Proceedings of the 12th international conference on Architectural support for programming languages and operating systems

Intelligent selection of application-specific garbage collectors

Proceedings of the 6th international symposium on Memory management

Instruction scheduling using evolutionary programming

ACC'08 Proceedings of the WSEAS International Conference on Applied Computing Conference

Feature selection and policy optimization for distributed instruction placement using reinforcement learning

Proceedings of the 17th international conference on Parallel architectures and compilation techniques

Learning heuristics for basic block instruction scheduling

Journal of Heuristics

Convergent Compilation Applied to Loop Unrolling

Transactions on High-Performance Embedded Architectures and Compilers I

Raced profiles: efficient selection of competing compiler optimizations

Proceedings of the 2009 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems

Automatic Feature Generation for Machine Learning Based Optimizing Compilation

Proceedings of the 7th annual IEEE/ACM International Symposium on Code Generation and Optimization

Automatic creation of tile size selection models

Proceedings of the 8th annual IEEE/ACM international symposium on Code generation and optimization

Partitioning streaming parallelism for multi-cores: a machine learning based approach

Proceedings of the 19th international conference on Parallel architectures and compilation techniques

A workload-aware mapping approach for data-parallel programs

Proceedings of the 6th International Conference on High Performance and Embedded Architectures and Compilers

Using machine learning to partition streaming programs

ACM Transactions on Architecture and Code Optimization (TACO)