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Resource  |  
        Description  |  
       
|---|---|
Refer to this guide for instructions to get started with the command line, detailed information on analysis types, information on how to use the GUI, and more.  |  
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| View the most useful resources that can help you achieve better performance of your application using vectorization. | |
| Roofline Resources for Intel® Advisor Users | View the most useful resources that can help you identify hardware-imposed ceilings using Intel Advisor CPU/GPU Roofline perspectives. | 
| Explore typical use-cases of Intel Advisor. Follow the step-by-step instructions to help effectively use more cores, vectorization, or heterogeneous processing. | |
| Explore a built-in graphical tool that helps you visualize and analyze graphs of a oneAPI Threading Building Blocks (oneTBB), OpenMP*, and SYCL applications. | |
Analyze Performance Remotely and Visualize Results on a Local macOS* System  |  
        View a step-by-step instruction how to visualize Intel Advisor perspective results on a macOS machine. | 
| Explore new features of Intel Advisor. | |
Vectorization Tutorial for Windows* OS Vectorization Tutorial for Linux* OS Threading Tutorial for Windows* OS  |  
        View tutorials that can help you experiment with Intel Advisor sample applications and run different perspectives. | 
Offline Resources  |  
        One of the key Vectorization perspective features is GUI-embedded advice on how to fix vectorization issues specific to your code. To help you quickly locate information that augments that GUI-embedded advice, the Intel Advisor provides offline compiler mini-guides. You can also find offline Recommendations and Compiler Diagnostic Details advice libraries in the same location as the mini-guides. Each issue and recommendation in these HTML files is collapsible/expandable. Linux* OS: Available offline documentation is installed inside <advisor-install-dir>/documentation/<locale>/. Windows* OS: Available offline documentation is installed inside <advisor-install-dir>\documentation\<locale>\.  |  
       
You can find the complete list of oneAPI code samples in the oneAPI Samples Catalog (GitHub*). Use these samples to develop, offload, and optimize multi-architecture applications that target CPUs, GPUs, and FPGAs.
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