Abstract
Optimizing compilers increase the resulting code performance by carrying out a number of code optimization techniques. Profile information assistance for code optimizations gives an opportunity to greatly increase the code performance in some cases. However, the impossibility to provide a representative training execution often leads to the decline in efficiency of profile-dependent code optimizations. This paper investigates the main causes of the performance loss for the one-stage optimization as compared to the profileguided optimization (PGO) and introduces some alternative compilation techniques to reduce this loss. The effectiveness of these techniques is evaluated for a VLIW-architecture Elbrus compiler.
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