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Introduction to Intel® Graphics Performance Analyzers
Game Optimization Methodology
Install and Launch Intel® GPA
Launch Application for Analysis
Configure Analysis Settings
Analyze Desktop Graphics Applications
Quick Start with Profiling Unreal Engine* Games
Instrumentation and Tracing Technology API Support
Intel® GPA Reference
Notices and Disclaimers
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Instrumentation and Tracing Technology API Support
NOTE:
The Instrumentation and Tracing Technology API (ITT API) and the Just-in-Time Profiling API (JIT API) are open source components. Visit the GitHub* repository to access source code and contribute.
The Instrumentation and Tracing Technology API (ITT API) provided by the Intel GPA enables your application to generate and control the collection of trace data during its execution.
ITT API has the following features:
Controls application performance overhead based on the amount of traces that you collect.
Enables trace collection without recompiling your application.
Supports applications in C/C++ environments.
Automatically traces data from Microsoft DirectX* applications.
Automatically traces data from OpenGL* ES v1, v2, and v3 APIs on Android* OS applications.
Supports instrumentation for tracing application code.
This chapter describes how to add basic instrumentation to your application, and also includes examples of several advanced instrumentation topics.
User applications/modules linked to the static ITT API library do not have a runtime dependency on a dynamic library. Therefore, they can be executed without Intel GPA or other Intel tools.
ITT API enables you to manually instrument your application for further application performance analysis.
You can use the Intel GPA Trace Analyzer to view ITT trace data. The Intel GPA Trace Analyzer obtains this data from your application through the Intel GPA Monitor.
NOTE:
The ITT API is a set of pure C/C++ functions. There are no Java* or .NET* APIs. If you need runtime environment support, you can use a JNI, or C/C++ function call from the managed code. If the collector causes significant overhead or data storage, you can pause the analysis to reduce the overhead.