Intel® VTune™ Profiler

Find and Fix Performance Bottlenecks Quickly and Realize All the Value of Your Hardware

Performance Analysis for Applications & Systems

Intel® VTune™ Profiler optimizes application performance, system performance, and system configuration for HPC, cloud, IoT, media, storage, and more.

  • CPU, GPU, and FPGA: Tune the entire application’s performance―not just the accelerated portion. 
  • Multilingual: Profile Data Parallel C++ (DPC++), C, C++, C#, Fortran, OpenCL™ code, Python*, Google Go* programming language, Java*, .NET, Assembly, or any combination of languages.
  • System or Application: Get coarse-grained system data for an extended period or detailed results mapped to source code.
  • Power: Optimize performance while avoiding power- and thermal-related throttling. 

Develop in the Cloud

Get what you need to build, test, and optimize your oneAPI projects for free. With an Intel® DevCloud account, you get 120 days of access to the latest Intel® hardware—CPUs, GPUs, FPGAs—and Intel oneAPI tools and frameworks. No software downloads. No configuration steps. No installations.

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Download the Toolkit

Intel VTune Profiler is included in the Intel® oneAPI Base Toolkit, which is a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.

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Features

Algorithm Optimization

  • Locate hot spots—the most time-consuming parts of your code.
  • Visualize hot code paths and time spent in each function and with its callees with Flame Graph.

Analyze Hot Code Paths

Analyze Hot Spots

 

Microarchitecture and Memory Bottlenecks

  • Identify the most significant hardware issues that affect the performance of your application with microarchitecture exploration analysis.
  • Pinpoint memory-access-related issues such as cache misses and high-bandwidth problems.

Code-Tuning Methods for Intel® CPU Microarchitecture

Profile a Memory-Bound Application

Accelerators and XPUs

  • Optimize GPU offload schema and data transfers for DPC++, OpenCL code, Microsoft DirectX*, or OpenMP* offload code. Identify the most time-consuming GPU kernels for further optimization.
  • Analyze GPU-bound code for performance bottlenecks caused by microarchitectural constraints or inefficient kernel algorithms.
  • Explore CPU and FPGA interactions, and FPGA use.

Optimize Software for Intel® GPUs

Profile OpenMP Offload Code on a GPU

Parallelism

  • Examine how efficiently the code is threaded. Identify threading issues that impact performance.
  • Evaluate compute-intensive or throughput HPC applications for efficient CPU use, vectorization, and memory use.

Method for OpenMP Code Analysis

Schedule Overhead in Intel® oneAPI Threading Building Blocks Applications

Platform and I/O

  • Locate performance bottlenecks in I/O-intensive applications. Explore how effectively the hardware processes I/O traffic generated by external PCIe* devices or integrated accelerators.
  • See a holistic view of system behavior for long-running workloads with Platform Profiler.
  • Get a fine-grained overview for short-running workloads with System Overview.

Effective Use of Intel® Data Direct I/O Technology

Multi-Node

  • Characterize performance aspects of large-scale message passing interface (MPI) and OpenMP workloads.
  • Identify scalability issues and get recommendations for in-depth analysis.

Profile MPI Applications

What's New in 2022?

Expanded Accelerator Profiling

  • Identify occupancy issues that prevent  GPU code from efficiently using available execution unit (EU) threads by using the GPU Compute/Media hot spots analysis.
  • Analyze data transfer to pinpoint inefficient code paths between host and device in the GPU Offload Analysis. 
  • Profile DirectX applications on the CPU host to determine the gaps between the API calls and the reasons causing such inefficiencies.

 

New Profiles

  • Visualize hot code paths and identify time spent in each function and its callees using the Flame Graph in Hot Spots analysis.
  • Diagnose the issues that may cause your system to be overheated or consume significant power using the CPU Throttling analysis.

Better Workflow

  • Gain insight into system configuration, performance, and behavior with Platform Profiler—now fully integrated into Intel VTune Profiler.
  • Quickly analyze the application performance characterization with pointers to deeper analysis using Performance Snapshot.

Hardware Support

  • Get support for the 3rd generation Intel® Xeon® Scalable processors (formerly code named Ice Lake server) and 12th generation Intel® Core™ processor family (formerly code named Alder Lake)

Better Data

  • Expanded I/O Analysis: Quickly visualize I/O hardware use with a platform diagram. Discover the root cause of low throughput in Intel Data Direct I/O Technology. Optimize latency using extended utilization metrics in I/O analysis. Get added support for MPI applications.
  • Application Performance Snapshot: Analyze workloads at scale to identify outliers and where they occurred. Get PCIe bandwidth information in command-line reports.

For a more complete and up-to-date list, see the release notes.

Get Started

Download

Intel VTune Profiler is a part of the Intel® oneAPI Base Toolkit.

Get the Intel oneAPI Base Toolkit

Get Intel VTune Profiler Only

System Requirements

Try It Out

Follow the Get Started Guide and use an introductory code sample to see how Intel VTune Profiler works.

Get Started Guide

Learn Analysis Techniques

Browse the cookbook to see if there are recipes for analysis of your performance bottlenecks.

Tutorials and Videos

Intel VTune Profiler Cookbook

Profiling GPUs

GPU Optimization Workflow

Specifications

Processor:

  • 3rd generation Intel® Xeon® processor family v3 (or later)
  • 4th generation (or later) Intel® Core™ processor

GPUs:

  • Gen9 of Intel® HD Graphics or Intel® Iris® Xe MAX graphics or newer
  • Xe Architecture

FPGAs:

  • Intel® Arria® 10 FPGA and Intel® Stratix® FPGA

Languages:

  • DPC++
  • C and C++
  • C#
  • Fortran
  • OpenCL programs
  • Google Go programming language
  • Java
  • Python
  • .NET

Development environments:

  • Windows: Microsoft Visual Studio*
  • Linux: Eclipse*
  • Virtual machine support: Kernel-based virtual machine (KVM), Hyper-V*, VMware*
  • Container support: Docker*, Singularity*, LXC, Apache Mesos*
  • Interface: Desktop or web GUI, command-line

Host operating systems:

  • Windows
  • Linux
  • macOS

Target operating systems:

  • Windows
  • Linux
  • FreeBSD
  • Android
  • Wind River Linux
  • Yocto Project

Compilers:

  • Compilers from Intel
  • Microsoft* compilers
  • GNU Compiler Collection (GCC)*

Threading analysis:

  • OpenMP
  • Intel® oneAPI Threading Building Blocks
  • Native threads

Distributed environments:

  • MPI (MPICH-based, OpenMPI)

For more information, see the system requirements.

Get the Single Component

A stand-alone version of this component is available.

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Intel® Advisor

This design and analysis tool achieves high application performance through efficient threading, vectorization, and memory use, and GPU offload on current and future Intel hardware. It supports C, C++, Fortran, DPC++, OpenMP, and Python.

  • Offload Advisor: Get your code ready for efficient GPU offload even before you have the hardware
  • Automated Roofline Analysis: See performance headroom against hardware limitations and get insights for an effective optimization roadmap
  • Vectorization Advisor: Enable more vector parallelism and get guidance to improve its efficiency
  • Threading Advisor: Model, tune, and test threading design options
  • Flow Graph Analyzer: Create, visualize, and analyze task and dependency-computation

Get Help

Your success is our success. Access these support resources when you need assistance.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.