Profile Guided Optimization. Instrument with guards for threaded application: Select this checkbox to produce an instrumented object file that includes the collection of PGO data on applications that use a high level of parallelism.
Using the threadsafe keyword produces instrumented object files that support the collection of PGO data on applications that use a high level of parallelism but may Compile and link the source files with [Q]prof-use; the option instructs the compiler to use the generated dynamic information to guide the optimization:
The PGO report can help identify where and how the compiler used profile information to optimize the source code. The PGO report is most useful when combined with the PGO compilation steps outlined in the topic, Profile an Application. Without the profiling data generated during the application profiling process the report
Profile-guided Optimization (PGO) improves application performance by reorganizing code layout to reduce instruction-cache problems, shrinking code size, and reducing branch mispredictions. PGO provides information to the compiler about areas of an application that are most frequently executed. By knowing these
2 Apr 2014 Intel® C++ Compiler has supported Profile-guided Optimization (PGO) for a long history, PGO improves application performance by reorganizing code layout to reduce instruction-cache problems, shrinking code size, and reducing branch mispredictions. PGO provides information to the compiler about
Profile-guided optimization also known as profile-directed feedback (PDF) and feedback-directed optimization (FDO), is a compiler optimization technique in computer programming that uses profiling to improve program runtime performance. Contents. [hide]. 1 Method; 2 Adoption; 3 Implementations; 4 See also
9 Oct 2014 Generally speaking, there are 6 steps for the performance optimization with Intel® C++ Compiler. Compilation without optimization Enable general optimization Enable processor-specific optimization Use IPO optimization Use PGO optimization Tune Auto Vectorization 1. Compilation without optimization.
21 Jul 2012 A 3.3-second floating-point application isn't going to see benefit from profile-guided optimization. From my guess, you're doing some sort of raw data crunching, which is better suited to hand-coded assembly if you need raw FLOPs than it is to PGO. PGO will not tell the compiler how to optimize your inner
Profile-guided Optimization (PGO) improves application performance by re-ordering code layout to reduce instruction-cache problems, shrinking code size, and reducing branch mispredictions. PGO provides information to the compiler about areas of an application that are most

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March 2018