Intel VTune Profiler Performance Analysis Cookbook

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ID 766316
Date 12/16/2022
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Document Table of Contents
Document Table of Contents x
Intel® VTune™ Profiler Performance Analysis Cookbook
Intel® VTune™ Profiler Performance Analysis Cookbook x
Methodologies Configuration Recipes Tuning Recipes Notices and Disclaimers
Methodologies x
Top-down Microarchitecture Analysis Method OpenMP* Code Analysis Method Software Optimization for Intel® GPUs (NEW) Core Utilization in DPDK Apps PCIe Traffic in DPDK Apps DPDK Event Device Profiling Effective Utilization of Intel® Data Direct I/O Technology Compile a Portable Optimized Binary with the Latest Instruction Set
Configuration Recipes x
Analyzing Hot Code Paths Using Flame Graphs (NEW) Improving Hotspot Observability in a C++ Application Using Flame Graphs Profiling Games built with Unity* (NEW) Profiling Games built with Unreal Engine* (NEW) Profiling Java Applications as a Remote User (NEW) Profiling JavaScript* Code in Node.js* Ingredients Enable VTune Amplifier Support in Node.js Profile JavaScript Code Running in Node.js Measuring Performance Impact of NUMA in Multi-Processor Systems (NEW) Analyzing CPU and FPGA (Intel® Arria® 10 GX) Interaction Profiling a .NET* Core Application Profiling Applications in Amazon Web Services* (AWS) EC2 Instances Enabling Performance Profiling in GitLab* CI Configuring a Hyper-V* Virtual Machine for Hardware-Based Hotspots Analysis Profiling an Application for Performance Anomalies (NEW) Profiling an OpenMP* Offload Application running on a GPU (NEW) Profiling a SYCL* Application running on a GPU Using the Command-Line Interface to Analyze the Performance of a SYCL* Application running on a GPU (NEW) Profiling an FPGA-driven SYCL* Application Profiling Hardware Without Intel Sampling Drivers Profiling MPI Applications Profiling Docker* Containers Profiling a Remote Target Through a Proxy Server (NEW) Using Intel® VTune™ Profiler Server with Visual Studio Code and Intel® DevCloud for oneAPI (NEW) Using Intel® VTune™ Profiler Server in HPC Clusters Profiling in a Singularity* Container Profiling Linux*, Android*, and QNX* System Boot Time
Tuning Recipes x
Cache-Related Latency Issues in Segmented Cache Environment False Sharing Frequent DRAM Accesses Poor Port Utilization Page Faults Instruction Cache Misses Inefficient Synchronization Inefficient TCP/IP Synchronization OS Thread Migration OpenMP* Imbalance and Scheduling Overhead Processor Cores Underutilization: OpenMP* Serial Time Scheduling Overhead in Intel® Threading Building Blocks (Intel® TBB) Apps PMDK Application Overhead
Intel® VTune™ Profiler Performance Analysis Cookbook

Profiling JavaScript* Code in Node.js*

This recipe provides configuration steps to rebuild Node.js* and enable Intel® VTune™ Amplifier performance analysis for your JavaScript code including mixed-mode call stacks containing JS frames and native frames (native code, for example, system libraries or native libraries called from the JavaScript code).

Ingredients

This section lists the hardware and software tools used for the performance analysis scenario.

  • Application: sample.js. The application is used as a demo and not available for download.

  • JavaScript environment: Node.js version 8.0.0 with Chrome* V8 version 5.8.283.41

  • Performance analysis tools: Intel VTune Amplifier 2018 - Advanced Hotspots analysis

    NOTE:

    • Starting with the 2020 release, Intel® VTune™ Amplifier has been renamed to Intel® VTune™ Profiler.

    • Most recipes in the Intel® VTune™ Profiler Performance Analysis Cookbook are flexible. You can apply them to different versions of Intel® VTune™ Profiler. In some cases, minor adjustments may be required.

    • Get the latest version of Intel® VTune™ Profiler:

  • Operating system: Windows* 10

Enable VTune Amplifier Support in Node.js

  1. Download node.js sources (nightly build).

  2. Run the vcbuild.bat script from the root node-v8.0.0 folder: 

    echo vcbuild.bat enable-vtune

    This script builds Node.js with the VTune Profiler support to profile JavaScript code.

NOTE:

  • On Linux* systems, avoid using the enable-vtune flag with the fully-static configure flag. This combination is not compatible and causes the Node.js environment to crash.

  • If you use Microsoft Visual Studio* 2015 IDE or higher, make sure to add #define _SILENCE_STDEXT_HASH_DEPRECATION_WARNINGS to the node-v8.0.0-win\deps\v8\src\third_party\vtune\vtune-jit.cc file: 

    #include <string.h>

#ifdef WIN32
#define _SILENCE_STDEXT_HASH_DEPRECATION_WARNINGS
#include <hash_map>
using namespace std;
#else
...

Profile JavaScript Code Running in Node.js

This recipe uses a sample JavaScript application: 

function say(word) {
console.log("Calculating ...");
var res = 0;
for (var i = 0; i < 20000; i++) {
  for (var j = 0; j < 20000; j++) {
    res = i * j / 2;
  }
 }
console.log("Done.");
console.log(word);
}

function execute(someFunction, value) {
  someFunction(value);
}

execute(say, "Hello from Node.js!");
To profile this application with the VTune Amplifier:

  1. Launch the VTune Amplifier: 

    amplxe-gui.exe

  2. Click the New Project icon on the toolbar to create a new project.

  3. In the Analysis Target tab, specify node.exe in the Application field and sample.js in the Application parameters field:

  4. Switch to the Analysis Type tab and select the Advance Hotspots analysis type from the left pane and click Start to run the analysis.

    NOTE:

    Advanced Hotspots analysis was integrated into the generic Hotspots analysis starting with Intel VTune Amplifier 2019, and is available via the Hardware Event-Based Sampling collection mode.

When the analysis is complete, the VTune Amplifier opens the result in the default Hotspots viewpoint. Use the Bottom-up window to explore how the samples are distributed through JavaScript functions. Double-click the function that took the most CPU time to execute to view the source code and identify the hottest code line:

Parent topic: Configuration Recipes
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