Issue No. 02 - February (2009 vol. 42)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2009.57
E.H. D'Hollander , Ghent Univ., Ghent
Refactoring for data locality opens a new avenue for performance-oriented program rewriting. SLO has broken down a large part of the complexity that software developers face when speeding up programs with numerous cache misses. Therefore, we consider SLO to belong to a new generation of program analyzers. Whereas existing cache profilers (generation 1.0) highlight problems such as cache misses, second-generation analyzers (such as SLO) highlight the place to fix problems. Improving data locality is also important in hardware-based applications. SLO was already used to optimize the frame rate and energy consumption in a wavelet decoder implemented on an FPGA. In another vein, the SLO concepts could be incorporated in interactive performance debuggers and profile-directed compilers. We believe that SLO will be useful in the optimization of many data-intensive applications.
Particle measurements, Fuses, Programming profession, Optimizing compilers, Program processors, Size measurement, Tracking loops, Data visualization,SPEC2000 benchmarks, software engineering, development tools, programming languages, processors, operating systems, visualization, simulation, computing methodologies, compilers, benchmarks
K. Beyls, E.H. D'Hollander, "Refactoring for Data Locality", Computer, vol. 42, no. , pp. 62-71, February 2009, doi:10.1109/MC.2009.57