User Guide

Intel® VTune™ Profiler User Guide

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ID 766319
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 User-mode Sampling and Tracing Collection Summary Report Example 1: User-Mode Sampling Hotspots Summary Example 2: Threading Summary Hardware Event-based Sampling Collection Summary Report Example 3: Hardware Event-Based Sampling Hotspots Summary Example 4: HPC Performance Characterization Summary Example 5: Memory Access Summary See Also Hotspots Report Hardware Events Report Callstacks Report Timeline Report 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

Summary Report

Similar to the Summary window, available in GUI, the summary report provides overall performance data of your target. Intel® VTune™ Profiler automatically generates the summary report when data collection completes. To disable this report, use the no-summary option in your command when performing a collect or collect-with action.

Use the following syntax to generate the Summary report from a preexisting result:

vtune -report summary -result-dir <result_path>

The summary report output depends on the collection type:

User-mode Sampling and Tracing Collection Summary Report

For User-Mode Sampling and Tracing Collection results, the summary report includes the following sections:

  • Collection and Platform Information

  • CPU Information

  • Summary per basic analysis metrics

Example 1: User-Mode Sampling Hotspots Summary

This example generates the summary report for the r000hs Hotspots analysis result on Windows*: 

vtune -report summary -r r000hs
Elapsed Time: 1.857s
CPU Time: 10.069s
    Effective Time: 10.069s
    Idle: 0.000s
    Poor: 1.294s
    Ok: 6.381s
    Ideal: 2.395s
    Over: 0s
Spin Time: 0s
Overhead Time: 0s
Total Thread Count: 9
Paused Time: 0s

Top Hotspots
Function   Module      CPU Time
---------  ----------  --------
multiply1  matrix.exe   10.069s

Collection and Platform Info
    Application Command Line: C:\temp\samples\en\C++\matrix_vtune\matrix\vc14\Win32\Release\matrix.exe 
    Operating System: Microsoft Windows 10
    Computer Name: my-computer
    Result Size: 5 MB 
    Collection start time: 09:41:57 06/09/2018 UTC
    Collection stop time: 09:41:58 06/09/2018 UTC
    Collector Type: Event-based counting driver,User-mode sampling and tracing
    CPU
        Name: Intel(R) Processor code named Skylake
        Frequency: 4.008 GHz
        Logical CPU Count: 8

Example 2: Threading Summary

This example generates a summary report for the Threading analysis result r003tr. The summary portion of the report shows that the multithreaded target spent 64 seconds waiting, with an average concurrency of only 1.073: 

vtune -report summary -r r003tr
Summary
-------
Average Concurrency:  1.073
Elapsed Time:         13.911
CPU Time:             11.031
Wait Time:            64.468
Average CPU Usage:    0.768

To identify the cause of the wait, view the result in the GUI performance pane, or generate a performance report.

Hardware Event-based Sampling Collection Summary Report

For Hardware Event-based Sampling Collection results, the summary report includes the following information (if available):

  • Collection and Platform information
  • Microarchitecture Exploration metrics
  • CPU information
  • GPU information
  • Summary per basic analysis metrics
  • Event summary
  • Uncore Event summary

For some analysis types, the command-line summary report provides an issue description for metrics that exceed the predefined threshold. If you want to skip issues in the summary report, do one of the following:

  • Use the -report-knob show-issues=false option when generating the report, for example: vtune -report summary -r r001hpc -report-knob show-issues=false

  • Use the -format=csv option to view the report in the CSV format, for example: vtune -report summary -r r001hpc -format=csv

Example 3: Hardware Event-Based Sampling Hotspots Summary

This example generates the summary report for the r001hs Hotspots analysis (hardware event-based sampling mode) result on Windows* OS. 

vtune -report summary -r r001hs
Elapsed Time: 3.986s
    CPU Time: 1.391s
    CPI Rate: 0.860
    Wait Time: 65.023s
    Inactive Time: 14.819s
    Total Thread Count: 25
    Paused Time: 0s

Hardware Events
Hardware Event Type                  Hardware Event Count  Hardware Event Sample Count  Events Per Sample
-----------------------------------  --------------------  ---------------------------  -----------------
CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE             24,832,593                            8  1000030          
CPU_CLK_UNHALTED.REF_TSC                    3,471,208,416                          120  24000000         
CPU_CLK_UNHALTED.REF_XCLK                      43,877,874                           14  1000030          
CPU_CLK_UNHALTED.THREAD                     3,903,569,890                          127  24000000         
FP_ARITH_INST_RETIRED.SCALAR_DOUBLE           943,046,424                           14  20000030         
INST_RETIRED.ANY                            4,536,715,682                          140  24000000         
UOPS_EXECUTED.THREAD                        5,282,967,942                           72  20000030         
UOPS_RETIRED.RETIRE_SLOTS                   5,587,595,565                           76  20000030         
Collection and Platform Info
    Application Command Line: C:\samples\tachyon\vc10\analyze_locks_Win32_Release\analyze_locks.exe C:\samples\tachyon\dat\balls.dat
    Operating System: Microsoft Windows 10
    Computer Name: My Computer
    Result Size: 13 MB 
    Collection start time: 12:12:52 24/07/2018 UTC
    Collection stop time: 12:13:03 24/07/2018 UTC
    Collector Type: Event-based sampling driver
    CPU
        Name: Intel(R) Processor code named Skylake ULT
        Frequency: 2.496 GHz
        Logical CPU Count: 4

Use the Elapsed Time metric as your performance baseline to estimate your optimizations.

Example 4: HPC Performance Characterization Summary

This command generates the summary report for the HPC Performance Characterization analysis result and skips issue descriptions: 

vtune -report summary -r r001hpc -report-knob show-issues=false
Elapsed Time: 23.182s
GFLOPS: 14.748
Effective Physical Core Utilization: 58.0%
    Effective Logical Core Utilization: 13.920 Out of 24 logical CPUs
    Serial Time: 0.069s (0.3%)
    Parallel Region Time: 23.113s (99.7%)
        Estimated Ideal Time: 14.010s (60.4%)
        OpenMP Potential Gain: 9.103s (39.3%)
Memory Bound: 0.446
    Cache Bound: 0.175
    DRAM Bound: 0.216
    NUMA: % of Remote Accesses: 38.3%
FPU Utilization: 2.7%
    GFLOPS: 14.748
        Scalar GFLOPS: 4.801
        Packed GFLOPS: 9.947
Collection and Platform Info
    Application Command Line: ./sp.B.x
    User Name: vtune
    Operating System: 3.10.0-327.el7.x86_64 NAME="Red Hat Enterprise Linux Server" VERSION="7.2 (Maipo)" ID="rhel" ID_LIKE="fedora" VERSION_ID="7.2" P
RETTY_NAME="Red Hat Enterprise Linux Server 7.2 (Maipo)" ANSI_COLOR="0;31" CPE_NAME="cpe:/o:redhat:enterprise_linux:7.2:GA:server" HOME_URL="https://w
ww.redhat.com/" BUG_REPORT_URL="https://bugzilla.redhat.com/"  REDHAT_BUGZILLA_PRODUCT="Red Hat Enterprise Linux 7" REDHAT_BUGZILLA_PRODUCT_VERSION=7.
2 REDHAT_SUPPORT_PRODUCT="Red Hat Enterprise Linux" REDHAT_SUPPORT_PRODUCT_VERSION="7.2"
    Computer Name: nntvtune235
    Result Size: 1 GB
    Collection start time: 19:04:30 13/06/2017 UTC
    Collection stop time: 19:04:53 13/06/2017 UTC
    Name: Intel(R) Xeon(R) E5/E7 v2 Processor code named Ivytown
    Frequency: 2.694 GHz
    Logical CPU Count: 24
    CPU
        Name: Intel(R) Xeon(R) E5/E7 v2 Processor code named Ivytown
        Frequency: 2.694 GHz
        Logical CPU Count: 24

Example 5: Memory Access Summary

This command generates the summary report for the Memory Access analysis result collected on Windows and shows issue descriptions: 

vtune -report summary -r r001macc

Elapsed Time: 7.917s
    CPU Time: 6.473s
    Memory Bound: 21.9% of Pipeline Slots
     | The metric value is high. This may indicate that a significant fraction
     | of execution pipeline slots could be stalled due to demand memory load
     | and stores. Explore the metric breakdown by memory hierarchy, memory
     | bandwidth information, and correlation by memory objects.
     |
        L1 Bound: 8.0% of Clockticks
         | This metric shows how often machine was stalled without missing the
         | L1 data cache. The L1 cache typically has the shortest latency.
         | However, in certain cases like loads blocked on older stores, a load
         | might suffer a high latency even though it is being satisfied by the
         | L1.
         |
        L2 Bound: 3.0% of Clockticks
        L3 Bound: 5.0% of Clockticks
         | This metric shows how often CPU was stalled on L3 cache, or contended
         | with a sibling Core. Avoiding cache misses (L2 misses/L3 hits)
         | improves the latency and increases performance.
         |
        DRAM Bound: 4.1% of Clockticks
            DRAM Bandwidth Bound: 0.4% of Elapsed Time
            Memory Latency: 0.000
    Loads: 10,137,704,122
    Stores: 3,208,896,264
    LLC Miss Count: 1,750,105
    Average Latency (cycles): 11
    Total Thread Count: 21
    Paused Time: 0s
System Bandwidth
    Max DRAM System Bandwidth: 15 GB 

Bandwidth Utilization
Bandwidth Domain  Platform Maximum  Observed Maximum  Average Bandwidth  % of Elapsed Time with High BW Utilization(%)
----------------  ----------------  ----------------  -----------------  ---------------------------------------------
DRAM, GB/sec      15                          11.300              2.836                                           0.4%
Collection and Platform Info
    Application Command Line: C:\samples\tachyon\vc10\analyze_locks_Win32_Release\analyze_locks.exe "C:\samples\tachyon\dat\balls.dat" 
    Operating System: Microsoft Windows 10
    Computer Name: My Computer
    Result Size: 31 MB 
    Collection start time: 09:33:44 07/06/2017 UTC
    Collection stop time: 09:33:52 07/06/2017 UTC
    CPU
        Name: Intel(R) Processor code named Skylake ULT
        Frequency: 2.496 GHz
        Logical CPU Count: 4

The Bandwidth Utilization section in the summary report shows the following metrics:

  • Platform Maximum: Expected maximum bandwidth for the system. This value can be automatically estimated using micro-benchmark at the start of analysis or hard-coded based on theoretical bandwidth limits.

  • Observed Maximum: Maximum bandwidth observed during the analysis. If the value is close to the Platform Maximum, your workload is probably bandwidth-limited.

  • Average Bandwidth: Average bandwidth utilization during the analysis.

  • % of Elapsed Time with High BW Utilization: Percentage of Elapsed time spent heavily utilizing system bandwidth.

This information is provided for all kinds of bandwidth domains you have in the result (DRAM, MCDRAM, QPI, and so on).

Parent topic: Generate Command Line Reports

See Also

report action
no-summary action-option
Level Two Title