User Guide

Intel® VTune™ Profiler User Guide

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Date 11/07/2023
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Document Table of Contents
Document Table of Contents x
Intel® VTune™ Profiler User Guide
Intel® VTune™ Profiler User Guide x
Introduction Install Intel® VTune™ Profiler Open Intel® VTune™ Profiler Set Up Project Set Up Analysis Target Analyze Performance Intel® VTune™ Profiler Command Line Interface API Support Troubleshooting Reference Notices and Disclaimers
Introduction x
Tuning Methodology Tutorials and Samples Notational Conventions Get Help Product Website and Support Related Information
Install Intel® VTune™ Profiler x
Sampling Drivers Set Up System for GPU Analysis Verify Intel® VTune™ Profiler Installation Install VTune Profiler Server Security Best Practices
Set Up System for GPU Analysis x
Rebuild and Install the Kernel for GPU Analysis Rebuild and Install Module i915 for GPU Analysis on CentOS* Rebuild and Install Module i915 for GPU Analysis on Ubuntu*
Install VTune Profiler Server x
Set Up Transport Security Configure User Authentication/Authorization
Open Intel® VTune™ Profiler x
Get Started with Intel® VTune™ Profiler Intel® VTune™ Profiler Graphical User Interface Web Server Interface Microsoft Visual Studio* Integration Eclipse* and Intel System Studio IDE Integration Containerization Support macOS* Support
Containerization Support x
Run VTune Profiler in a Container Profile Container Targets from the Host
Set Up Project x
WHERE: Analysis System WHAT: Analysis Target HOW: Analysis Types Search Directories
WHERE: Analysis System x
Analysis System Options
WHAT: Analysis Target x
Analysis Target Options
Search Directories x
Search Order
Set Up Analysis Target x
Prepare Application for Analysis Windows* Targets Linux* Targets Embedded Linux* Targets FreeBSD* Targets QNX* Targets Managed Code Targets Android* Targets Intel® Xeon Phi™ Processor Targets Targets in Virtualized Environments Targets in a Cloud Environment Arbitrary Targets Embedded System Targets
Windows* Targets x
Install the Sampling Drivers for Windows* Targets Debug Information for Windows* Application Binaries Compiler Switches for Performance Analysis on Windows* Targets Debug Information for Windows* System Libraries Add Administrative Privileges
Linux* Targets x
Build and Install the Sampling Drivers for Linux* Targets Debug Information for Linux* Application Binaries Compiler Switches for Performance Analysis on Linux* Targets Enable Linux* Kernel Analysis Resolution of Symbol Names for Linux-Loadable Kernel Modules Analyze Statically Linked Binaries on Linux* Targets Set Up Remote Linux* Target
Set Up Remote Linux* Target x
Set Up Linux* System for Remote Analysis Configure SSH Access for Remote Collection Search Directories for Remote Linux* Targets Temporary Directory for Performance Results on Linux* Targets
Embedded Linux* Targets x
Configure Yocto Project* and VTune Profiler with the Integration Layer Configure Yocto Project*/Wind River* Linux* and Intel® VTune™ Profiler with the Intel System Studio Integration Layer Configure Yocto Project* and Intel® VTune™ Profiler with the Linux* Target Package
FreeBSD* Targets x
Set Up FreeBSD* System
Managed Code Targets x
.NET* Targets Windows Store Application Targets Go* Application Targets
Android* Targets x
Build and Install Sampling Drivers for Android* Targets Set Up Android* System Enable Java* Analysis on Android* System Prepare an Android* Application for Analysis Analyze Unplugged Devices Search Directories for Android* Targets
Targets in Virtualized Environments x
Profile Targets on a VMware* Guest System Profile Targets on a Parallels* Guest System Profile Targets on a KVM* Guest System Profile Targets on a Xen* Virtualization Platform Profile Targets in the Hyper-V* Environment
Profile Targets on a KVM* Guest System x
Profile KVM Kernel Modules from the Host Profile KVM Kernel and User Space on the KVM System Profile KVM Kernel and User Space from the Host
Analyze Performance x
User-Mode Sampling and Tracing Collection Hardware Event-based Sampling Collection Performance Snapshot Algorithm Group Microarchitecture Analysis Group Parallelism Analysis Group Input and Output Analysis Accelerators Analysis Group Platform Analysis Group Platform Analysis Hybrid CPU Analysis Source Code Analysis Custom Analysis Energy Analysis Code Profiling Scenarios Control Data Collection Manage Data Views Manage Result Files
Hardware Event-based Sampling Collection x
Allow Multiple Runs or Multiplex Events Hardware Event-based Sampling Collection with Stacks
Algorithm Group x
Hotspots Analysis for CPU Usage Issues Anomaly Detection Analysis (preview) Memory Consumption Analysis
Hotspots Analysis for CPU Usage Issues x
Hotspots View
Anomaly Detection Analysis (preview) x
Anomaly Detection View
Memory Consumption Analysis x
Memory Consumption and Allocations View
Microarchitecture Analysis Group x
Microarchitecture Exploration Analysis for Hardware Issues Memory Access Analysis for Cache Misses and High Bandwidth Issues
Microarchitecture Exploration Analysis for Hardware Issues x
Microarchitecture Exploration View Microarchitecture Pipe
Memory Access Analysis for Cache Misses and High Bandwidth Issues x
Memory Usage View
Parallelism Analysis Group x
Threading Analysis HPC Performance Characterization Analysis
Threading Analysis x
Threading Efficiency View
HPC Performance Characterization Analysis x
HPC Performance Characterization View
Input and Output Analysis x
Analyze Platform Performance Analyze DPDK Applications Analyze SPDK Applications Analyze Linux Kernel I/O
Accelerators Analysis Group x
GPU Offload Analysis GPU Compute/Media Hotspots Analysis (Preview) CPU/FPGA Interaction Analysis NPU Exploration Analysis (Preview)
GPU Compute/Media Hotspots Analysis (Preview) x
GPU Compute/Media Hotspots View
CPU/FPGA Interaction Analysis x
CPU/FPGA Interaction View
NPU Exploration Analysis (Preview) x
NPU Exploration View
Platform Analysis Group x
System Overview Analysis
System Overview Analysis x
Analyze Interrupts Analyze Latency Issues
Custom Analysis x
Custom Analysis Options
Custom Analysis Options x
Highly Accurate CPU Time Data Collection Hardware Event List Linux* and Android* Kernel Analysis Sampling Interval Sample After Value
Hardware Event List x
Hardware Event Skid Instructions Retired Event Precise Events
Energy Analysis x
Run Energy Analysis View Energy Analysis Data with Intel® VTune™ Profiler Interpret Energy Analysis Data with Intel® VTune™ Profiler
Code Profiling Scenarios x
Java* Code Analysis Python* Code Analysis Intel® Threading Building Blocks Code Analysis MPI Code Analysis OpenSHMEM* Code Analysis with Fabric Profiler GPU Application Analysis on Intel® HD Graphics and Intel® Iris® Graphics Frame Data Analysis Task Analysis
GPU Application Analysis on Intel® HD Graphics and Intel® Iris® Graphics x
GPU OpenCL™ Application Analysis Intel® Media SDK Program Analysis
Control Data Collection x
Finalization Pause Data Collection Limit Data Collection Generate Command Line Configuration from GUI Minimize Collection Overhead Import External Data
Import External Data x
Use a Custom Collector Create a CSV File with External Data Import Linux Perf* Trace with VTune Profiler Metrics Examples of CSV Format and Imported Data
Manage Data Views x
Switch Viewpoints Control Window Synchronization View Stacks Manage Grid Views Manage Timeline View Change Threshold Values Choose Data Format Group and Filter Data View Data on Inline Functions Analyze Loops Stitch Stacks for Intel® oneAPI Threading Building Blocks or OpenMP* Analysis Search for Data
View Stacks x
Call Stack Mode Metrics Distribution Over Call Stacks
Manage Result Files x
VTune Profiler Filenames and Locations Import Results and Traces into VTune Profiler GUI Compare Results
Compare Results x
Compare Source Code View Comparison Data
View Comparison Data x
Comparison Summary Bottom-up Comparison Top-down Tree Comparison
Intel® VTune™ Profiler Command Line Interface x
vtune Command Syntax vtune Actions Run Command Line Analysis Work with Results from Command Line Generate Command Line Reports Command Line Usage Scenarios Command Line Interface Reference Report Problems from Command Line
Run Command Line Analysis x
performance-snapshot Command Line Analysis hotspots Command Line Analysis anomaly-detection Command Line Analysis threading Command Line Analysis memory-consumption Command Line Analysis hpc-performance Command Line Analysis uarch-exploration Command Line Analysis memory-access Command Line Analysis tsx-exploration Command Line Analysis tsx-hotspots Command Line Analysis sgx-hotspots Command Line Analysis gpu-hotspots Command Line Analysis gpu-offload Command Line Analysis npu graphics-rendering Command Line Analysis fpga-interaction Command Line Analysis io Command Line Analysis system-overview Command Line Analysis runsa/runss Custom Command Line Analysis Configure Analysis Options from Command Line
Configure Analysis Options from Command Line x
Collect System-Wide Data from Command Line Collect Data on Remote Linux* Systems from Command Line Configure GPU Analysis from Command Line Specify Search Directories from Command Line Specify Result Directory from Command Line Pause Collection from Command Line Manage Analysis Duration from Command Line Limit Data Collection from Command Line
Work with Results from Command Line x
View Command Line Results in the GUI Import Results from Command Line Re-finalize Results from Command Line
Generate Command Line Reports x
Summary Report Hotspots Report Hardware Events Report Callstacks Report Timeline Report Generate a Timeline Report from an Existing Result Example: Timeline Report for CPU Time Example: Timeline Report for CPU Time within Time Range Example: Timeline Report as a CSV File Example: Timeline Report of PMU Core Events Grouped by Threads Example: Timeline Report of PMU Uncore Events Grouped by Packages Example: Timeline Report of Context Switches per Thread Example: Timeline Report of Tasks per Thread See Also Top-down Report gprof-cc Report Difference Report View Source Objects from Command Line Save and Format Command Line Reports Filter and Group Command Line Reports
Command Line Usage Scenarios x
Use VTune Profiler Server in Containers Android* Target Analysis from the Command Line OpenMP* Analysis from the Command Line Java* Code Analysis from the Command Line
Command Line Interface Reference x
Option Descriptions and General Rules allow-multiple-runs analyze-kvm-guest analyze-system app-working-dir archive call-stack-mode collect collect-with column command cpu-mask csv-delimiter cumulative-threshold-percent custom-collector data-limit discard-raw-data duration filter finalization-mode finalize format group-by help import inline-mode knob kvm-guest-kallsyms kvm-guest-modules limit loop-mode mrte-mode no-follow-child no-summary no-unplugged-mode quiet report report-knob report-output report-width result-dir resume-after return-app-exitcode ring-buffer search-dir show-as sort-asc sort-desc source-object source-search-dir stack-size start-paused strategy target-install-dir target-system target-tmp-dir target-duration-type target-pid target-process time-filter trace-mpi user-data-dir verbose version
API Support x
Instrumentation and Tracing Technology APIs JIT Profiling API System APIs Supported by Intel® VTune™ Profiler
Instrumentation and Tracing Technology APIs x
Basic Usage and Configuration Instrumentation and Tracing Technology API Reference
Basic Usage and Configuration x
Configure Your Build System Attach ITT APIs to a Launched Application Instrument Your Application Minimize ITT API Overhead View Instrumentation and Tracing Technology (ITT) API Task Data in Intel® VTune™ Profiler
Instrumentation and Tracing Technology API Reference x
Domain API String Handle API Collection Control API Thread Naming API Task API Frame API Histogram API User-Defined Synchronization API Event API Counter API Context Metadata API Load Module API Memory Allocation APIs
JIT Profiling API x
Using JIT Profiling API JIT Profiling API Reference
JIT Profiling API Reference x
iJIT_NotifyEvent iJIT_IsProfilingActive iJIT_ GetNewMethodID
Troubleshooting x
Best Practices: Resolve Intel® VTune™ Profiler BSODs, Crashes, and Hangs in Windows* OS Error Message: Application Sets Its Own Handler for Signal Error Message: Cannot Enable Event-Based Sampling Collection Error Message: Cannot Collect GPU Hardware Metrics Error Message: Cannot Load Data File Error Message: Cannot Locate Debugging Information Error Message: Cannot Open Data Error Message: Client Is Not Authorized to Connect to Server Error Message: Root Privileges Required for Processor Graphics Events Error Message: No Pre-built Driver Exists for This System Error Message: Not All OpenCL™ API Profiling Callbacks Are Received Error Message: Problem Accessing the Sampling Driver Error Message: Required Key Not Available Error Message: Scope of ptrace System Call Is Limited Error Message: Stack Size Is Too Small Error Message: Symbol File Is Not Found Problem: Analysis of the .NET* Application Fails Problem: Cannot Access VTune Profiler Documentation Problem: CPU time for Hotspots or Threading Analysis is Too Low Problem: 'Events= Sample After Value (SAV) * Samples' Is Not True If Multiple Runs Are Disabled Problem: Guessed Stack Frames Problem: GUI Hangs or Crashes Problem: Inaccurate Sum in the Grid Problem: Information Collected via ITT API Is Not Available When Attaching to a Process Problem: No GPU Utilization Data Is Collected Problem: Same Functions Are Compared As Different Instances Problem: Skipped Stack Frames Problem: Stack in the Top-Down Tree Window Is Incorrect Problem: Stacks in Call Stack and Bottom-Up Panes Are Different Problem: System Functions Appear in the User Functions Only Mode Problem: VTune Profiler is Slow to Respond When Collecting or Displaying Data Problem: VTune Profiler is Slow on X-Servers with SSH Connection Problem: Unexpected Paused Time Problem: {Unknown Timer} in the Platform Power Analysis Viewpoint Problem: Unknown Critical Error Due to Disabled Loopback Interface Problem: Unknown Frames Problem: Unreadable Text on macOS* Problem: Unsupported Microsoft* Windows* OS Warnings about Accurate CPU Time Collection
Reference x
User Interface Reference CPU Metrics Reference GPU Metrics Reference OpenCL™ Kernel Analysis Metrics Reference Energy Analysis Metrics Reference Intel Processor Events Reference
User Interface Reference x
Context Menu: Grid Context Menus: Call Stack Pane Context Menus: Project Navigator Context Menus: Source/Assembly Window Dialog Box: Binary/Symbol Search Dialog Box: Source Search Hot Keys Menu: Customize Grouping Menu: Intel VTune Profiler Pane: Call Stack Pane: Options - General Pane: Options - Result Location Pane: Options - Source/Assembly Project Navigator Pane: Timeline Toolbar: Configure Analysis Toolbar: Filter Toolbar: Source/Assembly Toolbar: Intel VTune Profiler Window: Bandwidth - Platform Power Analysis Window: Bottom-up Window: Caller/Callee Window: Cannot Find <file type> File Window: Collection Log Window: Compare Results Window: Configure Analysis Window: Core Wake-ups - Platform Power Analysis Window: Correlate Metrics - Platform Power Analysis Window: CPU C/P States - Platform Power Analysis Window: Debug Window: Event Count - Hardware Events Window: Flame Graph Window: Graphics - GPU Compute/Media Hotspots Window: Graphics C/P States - Platform Power Analysis Window: NC Device States - Platform Power Analysis Window: Platform Window: Platform Power Analysis Window: Sample Count - Hardware Events Window: SC Device States - Platform Power Analysis Window: Summary Window: System Sleep States - Platform Power Analysis Window: Temperature/Thermal Sample - Platform Power Analysis Window: Timer Resolution - Platform Power Analysis Window: Top-down Tree Window: Uncore Event Count - Hardware Events Window: Wakelocks - Platform Power Analysis
Window: Summary x
Window: Summary - Input and Output Summary Window: Summary - Microarchitecture Exploration Window: Summary - GPU Analysis Window: Summary - Hardware Events Window: Summary - Hotspots by CPU Utilization Window: Summary - HPC Performance Characterization Window: Summary - Memory Consumption Window: Summary - Memory Usage Window: Summary - Platform Power Analysis
GPU Metrics Reference x
ALU0 Active ALU0 Instructions ALU1 Active ALU1 Instructions ALU2 Active ALU2 Instructions ALU0 and ALU1 Active ALU0 and ALU2 Active Average Time Computing Threads Started Computing Threads Started, Threads/sec CPU Time EU 2 FPU Pipelines Active EU Array Active EU Array Idle EU Array Stalled/Idle EU Array Stalled EU IPC Rate EU Send pipeline active EU Threads Occupancy Host to GPU Memory Read Bandwidth Host-to-GPU Memory Write Bandwidth Global GPU EU Array Usage GPU L3 Bound GPU L3 Miss Ratio GPU L3 Misses GPU L3 Misses, Misses/sec GPU Memory Read Bandwidth, GB/sec GPU Memory Texture Read Bandwidth, GB/sec GPU Memory Write Bandwidth, GB/sec GPU Texel Quads Count, Count/sec GPU Utilization Instance Count L3 Read Bandwidth L3 Write Bandwidth L3 Sampler Bandwidth, GB/sec L3 Shader Bandwidth, GB/sec LLC Miss Rate due GPU Lookups LLC Miss Ratio due GPU Lookups Local Maximum GPU Utilization Occupancy PS EU Active % PS EU Stall % Ratio to Max Bandwidth, % Ratio to Max Bandwidth, % Ratio to Max Bandwidth, % Render/GPGPU Command Streamer Loaded Samples Blended Samples Killed in PS, pixels Samples Written Sampler Busy Sampler Is Bottleneck Shared Local Memory Read Bandwidth, GB/sec Shared Local Memory Write Bandwidth, GB/sec SIMD Width Stack-to-stack Incoming Bandwidth Stack-to-stack Outgoing Bandwidth System Memory Read Bandwidth System Memory Write Bandwidth Size Total, GB/sec Total Time Typed Memory Read Bandwidth, GB/sec Typed Memory Write Bandwidth, GB/sec Typed Reads Coalescence Typed Writes Coalescence Untyped Memory Read Bandwidth, GB/sec Untyped Memory Write Bandwidth, GB/sec Untyped Reads Coalescence Untyped Writes Coalescence VS EU Active VS EU Stall
OpenCL™ Kernel Analysis Metrics Reference x
Computing Task Total Time Instance Count SIMD Width SIMD Utilization Work Size
Energy Analysis Metrics Reference x
Available Core Time C-State D0ix States DRAM Self Refresh Energy Consumed (mJ) Idle Wake-ups P-State S0ix States Temperature Timer Resolution Total Time in C0 State Total Time in Non-C0 States Total Time in S0 State Total Wake-up Count Wake-ups Wake-ups/sec per Core
Intel® VTune™ Profiler User Guide

Timeline Report

Like the Timeline window in the Intel® VTune™ Profiler user interface, the Timeline report provides information about a metric which changed over time. This is a tabular report where each row displays the average metric value in each time interval.

For example, this command generates a timeline report that captures the CPU Utilization section highlighted in the Timeline pane below: 

vtune -result-dir <result_path> -report timeline -report-knob column-by=CPUTime -report-knob bin-count=5

When you run the command, you see the following information: 

vtune: Using result path `C:\VTune\Projects\sample (matrix)\r005hs'
vtune: Executing actions 75 % Generating a report                              
timeBin  Bin Start Time  Bin End Time  CPU Time:Self
-------  --------------  ------------  -------------
0                 0.000         7.440       621.445s
1                 7.440        14.879       620.543s
2                14.879        22.319       675.243s
3                22.319        29.758       573.878s
4                29.758        37.198       404.154s
vtune: Executing actions 100 % done

Generate a Timeline Report from an Existing Result

Run this command: 

vtune -result-dir <result_path>
      -report timeline
      -report-knob column-by=<metric name>
    [ -report-knob sort-column-by=<metric name> ]
    [ -report-knob group-by=<grouper name> ]
    [ -report-knob bin-count=<30 by default> ]
    [ -report-knob start=<0 by default> ]
    [ -report-knob end=<end of collection by default> ]
    [ -report-knob time-format=<seconds|milliseconds|events> ]
    [ -report-knob object-names=True|False by default ]
    [ -report-knob query-type=interval|... ]

where:

  • <metric name> is the metric information you want. For example, CPUTime, OvertimeBandwidth, ContextSwitches, Task, PMUEventCount/PMUEventType etc.

  • <grouper name> is an optional name given to a grouper. During data collection, every metric on the timeline gets detected within a context. The metric is then attributed to the context. You use this context as the <grouper name> to group metric actions. Some examples of <grouper name> are Thread, UncorePackage, Task etc. Each instance of the <grouper name> generates an output table for that collection of metric actions. For example, if a parallel application runs on eight threads, setting group-by=Thread generates eight timeline reports. To see the overall behavior of the metric over time, do not set <grouper name>.

Example: Timeline Report for CPU Time

This example generates a timeline report for the r000hs result of a Hotspots analysis. The timeline report shows CPU Time utilization over 30 intervals: 

vtune.exe -r r000hs -report timeline -report-knob column-by=CPUTime
timeBin  Bin Start Time  Bin End Time  CPU Time:Self
-------  --------------  ------------  -------------
0                 0.000         1.240         5.456s
1                 1.240         2.480         6.318s
2                 2.480         3.720         6.462s
3                 3.720         4.960         6.502s
4                 4.960         6.200         6.638s
5                 6.200         7.440         5.908s
6                 7.440         8.679         6.659s
7                 8.679         9.919         6.018s
8                 9.919        11.159         5.555s
9                11.159        12.399         5.599s
10               12.399        13.639         6.404s
11               13.639        14.879         6.994s
12               14.879        16.119         6.997s
13               16.119        17.359         6.290s
14               17.359        18.599         6.986s
15               18.599        19.839         6.859s
16               19.839        21.079         6.496s
17               21.079        22.319         6.883s
18               22.319        23.558         7.044s
19               23.558        24.798         4.416s
20               24.798        26.038         5.306s
21               26.038        27.278         6.219s
22               27.278        28.518         6.140s
23               28.518        29.758         5.305s
24               29.758        30.998         5.874s
25               30.998        32.238         5.617s
26               32.238        33.478         3.909s
27               33.478        34.718         3.688s
28               34.718        35.958         3.232s
29               35.958        37.198         1.927s

Example: Timeline Report for CPU Time within Time Range

In this example, a timeline report is generated from the r006ue result of a Microarchitecture analysis. The data is collected between the second and fifth seconds. The data collected during these three seconds is presented over 50 intervals of time. 

vtune -r r006ue -report timeline -report-knob column-by=CPUTime -report-knob start=20000000000 -report-knob end=50000000000 -report-knob bin-count=50
timeBin  Bin Start Time  Bin End Time  CPU Time:Self
-------  --------------  ------------  -------------
0                 2.000         2.060       583.614s
1                 2.060         2.120       596.239s
2                 2.120         2.180       568.513s
3                 2.180         2.240       656.714s
4                 2.240         2.300       593.027s
5                 2.300         2.360       582.537s
6                 2.360         2.420       686.536s
7                 2.420         2.480       630.049s
8                 2.480         2.540       683.360s
9                 2.540         2.600       449.970s
10                2.600         2.660       534.815s
11                2.660         2.720       523.006s
12                2.720         2.780       563.003s
13                2.780         2.840       650.275s
14                2.840         2.900       590.479s
15                2.900         2.960       644.241s
16                2.960         3.020       646.289s
17                3.020         3.080       644.978s
18                3.080         3.140       634.378s
19                3.140         3.200       627.582s
20                3.200         3.260       588.956s
21                3.260         3.320       621.873s
22                3.320         3.380       158.051s
23                3.380         3.440       170.440s
24                3.440         3.500       216.458s
25                3.500         3.560       121.819s
26                3.560         3.620       351.148s
27                3.620         3.680       256.142s
28                3.680         3.740       385.892s
29                3.740         3.800       507.566s
30                3.800         3.860       459.971s
31                3.860         3.920       495.019s
32                3.920         3.980       503.530s
33                3.980         4.040       565.219s
34                4.040         4.100       526.778s
35                4.100         4.160       541.870s
36                4.160         4.220       569.609s
37                4.220         4.280       474.287s
38                4.280         4.340       585.829s
39                4.340         4.400       625.578s
40                4.400         4.460       656.474s
41                4.460         4.520       438.410s
42                4.520         4.580       519.766s
43                4.580         4.640       414.919s
44                4.640         4.700       577.235s
45                4.700         4.760       596.569s
46                4.760         4.820       570.871s
47                4.820         4.880       586.414s
48                4.880         4.940       532.267s
49                4.940         5.000       564.387s

Example: Timeline Report as a CSV File

When you collect a significantly large volume of data, consider exporting the timeline report to a CSV file for easier data management.

In this example, a timeline report generated from the r008hs result (of a Hotspots analysis) is saved as a CSV file (r008hs_timeline.csv). The collected data is split into 1000 intervals of time. 

vtune -r r008hs -report timeline -report-knob column-by=CPUTime -report-knob bin-count=1000 -format=csv -csv-delimiter=semicolon -report-output r008hs_timeline.csv

The contents of r008hs_timeline.csv contain: 

timeBin;Bin Start Time;Bin End Time;CPU Time:Self
0;2.000;2.060;583.614
1;2.060;2.120;596.239
...

Example: Timeline Report of PMU Core Events Grouped by Threads

Run this command to generate a timeline report that groups PMU core events by threads and sorts the groups by event counts. 

vtune -r <result dir> -report timeline -report-knob group-by=Thread -report-knob sort-column-by=PMUEventCount -report-knob column-by=PMUEventCount/PMUEventType

Example: Timeline Report of PMU Uncore Events Grouped by Packages

Run this command to generate a timeline report that groups PMU uncore events by packages and sorts the groups by uncore event counts. 

vtune -r <result dir> -report timeline -report-knob group-by=UncorePackage -report-knob sort-column-by=UncoreEventCount -report-knob column-by=UncoreEventCount/UncoreEventType

Example: Timeline Report of Context Switches per Thread

Run this command to generate a timeline report of context switches per thread, using a time format of millisecond 

vtune -r <result dir> -report timeline -report-knob query-type=interval -report-knob group-by=Thread -report-knob sort-column-by=ContextSwitchCount -report-knob column-by=ContextSwitches -report-knob bin-count=1000000000 -report-knob time-format=millisecond

Example: Timeline Report of Tasks per Thread

Run this command to generate a timeline report of tasks per thread and also displays the names of the tasks. 

vtune -r <result dir> -report timeline -report-knob query-type=interval -report-knob group-by=Thread -report-knob sort-column-by=TaskTime -report-knob column-by=Task -report-knob object-names=True -report-knob bin-count=1000000000
Parent topic: Generate Command Line Reports
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