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Example of Profile-Guided Optimization. The sections in this topic provide examples of the three basic phases of PGO, which are: Instrumentation Compilation and Linking. Instrumented Execution. Feedback Compilation. Profile-guided Optimization (PGO) Phases Instrumentation Compilation and Linking
Using Profile Guided Optimization. Profile Guided Optimization (PGO) is an advanced feature for wringing every last bit of performance out of your app. It is not hard to use but requires some extra build steps and some care to collect good profile information.
The Managed Profile Guided Optimization Tool (Mpgo.exe) is a command-line tool that uses common end-user scenarios to optimize the native image assemblies that are created by the Native Image Generator (Ngen.exe).This tool enables you to run training scenarios that generate profile data.
Launch the instrumented version of your application by using the ‘Run Instrumented/Optimized Application’ menu item under the ‘Profile Guided Optimization menu’. In case of this sample application letting the sample run with max bodies (15360) is a reasonable training scenario as this is the bread and butter performance-centric steady
Inlining – For example, if there exists a function A that frequently calls function B, and function B is relatively small, then profile-guided optimizations will inline function B in function A.
Profile-Guided JavaScript Optimization. Jul 26, 2013 4 min read #javascript #optimization #web. Profile-guided optimization (PGO) is a known compiler technique to produce an optimized code. The generated code is biased towards the common data set which will be fed to the code.
Profile Guided Optimization (PGO) improves application performance by reorganizing code layouts to reduce instruction-cache problems, shrinking code size, and reducing branch misprediction. PGO provides information to the compiler about areas of an application that are most frequently executed.
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