Profile-based Vectorization for MATLAB

Abstract

International audienceIn recent years, MATLAB just-in-time (JIT) interpreter has improved the execution time of for-loops to a level whereloops can outperform equivalent array operations in some scenarios. This has allowed systematic translation of loopsto array operations, a prevalent approach for performance improvement in MATLAB, to sometimes yield a performanceloss. Therefore, we propose a selective strategy to loop translation with selection criteria guided by loop profiling data.As a result, only loops with a high performance speedup potential are selected for translation to array operations. Ourexperimental results confirm the efficiency of our approach and illustrate the cases where systematic translation lead toperformance degradation