Examples of CSV Format and Imported Data

Explore examples of the performance data gathered with an external collector and imported into an Intel® VTune™ Amplifier project in the CSV format.

Examples for Importing Interval Data

Example 1: CSV File with the Performance Counter Timestamp

name,start_tsc.QPC,end_tsc,pid,tid
frame1,2,30,,
frame1,33,59,,
taskType1,3,43,1,1
taskType2,5,33,1,1
taskType1,46,59,1,1
taskType2,45,54,1,1

VTune Amplifier will process data with missing PID and TID as frames. Data with the PID and TID specified will be processed as tasks.

Example 2: CSV File with the System Counter Timestamp

name,start_tsc.UTC,end_tsc,pid,tid
Frame1,2013-08-28 01:02:03.0004,2013-08-28 01:02:03.0005,,
Task,2013-08-28 01:02:03.0004,2013-08-28 01:02:03.0005,1234,1235

Example 3: CSV File with Interval Data Bound to a Process

name,start_tsc.TSC,end_tsc,pid,tid
function1_task_type,419280823342846,419280876920231,12832,11644
function2_task_type,419280876920231,419281044717992,12832,11644
function1_task_type,419281044745822,419281102121452,12832,11644
function2_task_type,419281102121452,419281277898762,12832,11644
function1_task_type,419281277935812,419281342158661,12832,11644
function2_task_type,419281342158661,419281527040239,12832,11644

VTune Amplifier processes this data as tasks (TID and PID values are specified) and displays the result in the Platform window as follows:

Example 4: Command Line Report for Imported Interval Data Bound to a Process

In this example, the hotspots report shows counters bound to a specific process/thread grouped by tasks:

amplxe-cl -R hotspots -group-by=task -r my_result
amplxe: Using result path 'my_result'
amplxe: Executing actions 50 % Generating a report
Task Type           CPU Time:Self  Task Time:Self  Overhead Time:Self  Spin Time:Self  Thread Counter:victim_counter:Self  Thread Counter:victim_counter_x2:Self
------------------  -------------  --------------  ------------------  --------------  ---------------------------         ---------------------------------
[Outside any task]              0               0                   0               0                            0         2
ITT Task                        0           0.009                   0               0                            2         6
victim_task                     0           0.000                   0               0                            0         0
amplxe: Executing actions 100 % done

Example 5: Interval Data Not Bound to a Particular Process

name,start_tsc.TSC,end_tsc,pid,tid
calibrating_frame,419743756747826,419747241283878,,
open_file_frame,419747251423510,419747504506086,,

VTune Amplifier processes this data as frames (there are no TID and PID values specified) and displays the result as follows:

With the VTune Amplifier, you can easily correlate the frame data in the Timeline pane and grid view.

Example 6: Command Line Report for Imported Interval Data Not Bound to a Process

In this example, the hotspots report shows counters not bound to a specific thread/process grouped by frame domain:

amplxe-cl -R hotspots -group-by=frame-domain -r my_result
amplxe: Using result path 'my_result'
amplxe: Executing actions 50 % Generating a report
Frame Domain     Frame Time:Self  Counter:global_counter:Self  Counter:global_counter_x2:Self
------------     ---------------  ---------------------------  -----------------------------
cuscol_frame     0.126            4                            8
cuscol_utc_frame 0.126            4                            8
amplxe: Executing actions 100 % done

Examples for Importing Discrete Data

Example 1: CSV File with the Performance Counter Timestamp

tsc.QPC,MyCounter1.COUNT,MyCounter2.INST,pid,tid
2,1,3,1,1
5,2,5,1,1
10,3,3,1,1
23,10,7,1,1

Example 2: CSV File with the System Counter Timestamp

tsc.UTC,MyCounter1.COUNT,MyCounter2.COUNT,pid,tid
2013-08-28 01:02:03.0004,1234,,1234,1235
2013-08-28 01:02:03.0005,1234,,1234,1235
 2013-08-28 01:02:03.0006,,1000234,,

Example 3: CSV File with Discrete Data Not Bound to a Particular Process

tsc.TSC,global_inst_val1.INST,global_counterWIV.COUNT,pid,tid
78912463824135,3,6,,
78916553573577,6,9,,
78919519641325,3,12,,
78922574591880,6,18,,
78925599513489,3,21,,

VTune Amplifier processes this data and displays the result as follows:

Discrete cumulative counter values, both thread-specific and global (not thread-specific), are provided in the grid view and in the Timeline pane in yellow. Instantaneous counter values, thread-specific and global, are displayed in blue in the Timeline pane only.

Note

To view global counter values in the grid, make sure to select a generic (not thread specific) grouping level like Frame Domain/Frame/Function/Call Stack.

Example 4: Command Line Report for Imported Discrete Data

This example provides the hw-events report with external discrete data (counters) integrated into a VTune Amplifier hardware event-based sampling analysis result cl_result.amplxe:

amplxe-cl -R hw-events -group-by=process -r my_result
amplxe: Using result path 'my_result'
amplxe: Executing actions 50 % Generating a report
Process          Counter:victim_counter:Self  Counter:victim_counter_x2:Self
---------------  ---------------------------  ------------------------------
itt_and_csv.exe                            2                               4
amplxe: Executing actions 100 % done
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