Static reuse distances for locality-based optimizations in MATLAB
Proceedings of the 24th ACM International Conference on Supercomputing
Automated refactorings for high performance Fortran programmes
International Journal of High Performance Systems Architecture
On-the-fly detection of precise loop nests across procedures on a dynamic binary translation system
Proceedings of the 8th ACM International Conference on Computing Frontiers
Refactoring ActionScript for improving application execution time
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
Pinpointing data locality problems using data-centric analysis
CGO '11 Proceedings of the 9th Annual IEEE/ACM International Symposium on Code Generation and Optimization
Proceedings of the 21st international conference on Parallel architectures and compilation techniques
Refactoring legacy AJAX applications to improve the efficiency of the data exchange component
Journal of Systems and Software
Run-time reconfiguration of expandable cache for embedded systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A data-centric profiler for parallel programs
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Refactoring Flash Embedding Methods
International Journal of Systems and Service-Oriented Engineering
Imbalanced cache partitioning for balanced data-parallel programs
Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture
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Suggestions for locality optimizations (SLO), a cache profiling tool, analyzes runtime reuse paths to find the root causes of poor data locality, and suggests the most promising code optimizations. Refactoring using the hints of the SLO analyzer doubles the average execution speed of several SPEC2000 benchmark programs.