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
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