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Visualize your system with Qualcomm® Snapdragon™ Performance Visualizer

Kevin A. Sapp, Engineer, Principal Qualcomm Innovation Center, Inc.

Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc.

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Real Time Data and Live View

Adding Custom Data

Agenda

2 3 4 6 1 Profiling and

Trace

5 Questions What is

Qualcomm® Snapdragon™ Performance

Visualizer (SPV)

Qualcomm Embedded Power Monitor is a product of Qualcomm Technologies, Inc.

Power and Qualcomm® Embedded

Power Monitor (QEPM)

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Adding Custom Data

Agenda

3 4 6 Profiling and

Trace

5 Questions Real Time Data

and Live View

2 1 What is

Qualcomm® Snapdragon™ Performance

Visualizer (SPV)

Power and Qualcomm® Embedded

Power Monitor (QEPM)

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Agenda

4 6 Profiling and

Trace

5 Questions

1 Adding Custom

Data

3 Real Time Data and Live View

2 What is

Qualcomm® Snapdragon™ Performance

Visualizer (SPV)

Power and Qualcomm® Embedded

Power Monitor (QEPM)

6

Agenda

6 Profiling and

Trace

5 Questions

1 Real Time Data and Live View

2 4 Adding Custom

Data

3 What is

Qualcomm® Snapdragon™ Performance

Visualizer (SPV)

Power and Qualcomm® Embedded

Power Monitor (QEPM)

7

Agenda

6 5 Power and

Qualcomm® Embedded

Power Monitor (QEPM)

Questions

1 Real Time Data and Live View

2 Adding Custom

Data

3 Profiling and

Trace

4 What is

Qualcomm® Snapdragon™ Performance

Visualizer (SPV)

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Agenda

6 Questions

1 Real Time Data and Live View

2 Adding Custom

Data

3 Profiling and

Trace

4 5

? What is

Qualcomm® Snapdragon™ Performance

Visualizer (SPV)

Power and Qualcomm® Embedded

Power Monitor (QEPM)

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What is Snapdragon Performance Visualizer?

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Snapdragon Performance Visualizer (SPV) is a comprehensive software tool suite that is designed to enable Android developers using the Qualcomm® Snapdragon™ Mobile Development Platform (MDP) to visualize, analyze and correlate the impact of detailed CPU and system data on application performance, making it easier to pinpoint and resolve performance bottlenecks.

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The GUI is web based − Dojo − JavaScript − Scalable Vector Graphics (SVG) − JSON

Command Line − ssh access for advanced command line tools − Access to “perf” command line − Other familiar tools, top, strace, etc − Scripting (bash, perl) for automation

Automation − Web based automation APIs available for many of the tools

− http://server:7376/api/setSessionTimeout&sessionId=131074&timeout=3600

How Does SPV Work Web based tool set and more

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Monitor performance

Examine performance monitors (CPU, L2, GPU, DSP)

Visualize system traces

Statistical (time or event) profiling

Add custom data, custom markers

Thermal data

Integrate with power monitoring (QEPM) tools

Memory leak and allocation corruption detection

Kernel probes

B and E markers from Atrace

Runs on most Linux based distributions (Android, Ubuntu, Debian, Tizen, Chrome, etc)

What can SPV do? Tools to monitor the system post processed and in real-time

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Live View

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CPU Information − Performance Monitors (cache hits) − Utilization − Frequency − Temperature − more

GPU Information − Performance monitors − Utilization − Frequency − more

DSP − Performance Monitors

Live View Real time collection and Visualization of time correlated system data

Source: Snapdragon Performance Visualizer screen shots

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Live View (2) Live View is the bridge to ProfileView’s advanced visualization and correlations

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Source: Snapdragon Performance Visualizer screen shots

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Live View Demonstration

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Custom Data

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File Line Field − Reads /proc, /sys, /debugfs files

− Periodically plots the value in a specific File …

− At a specific Line number

− And a specific Field on that line

Named Pipes − Marker

− Long

− Double

− Binary

Adding Custom Data to SPV Mechanisms to extend SPV with your unique data

Source: Snapdragon Performance Visualizer screen shots

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File Line Field node − Look at the run-queue depth on CPU0

− Stored in /sys/devices/system/cpu/cpu0/rq-stats/run_queue_avg

Pipe data format is: − timestamp,data<cr> -or- ,data<cr>

− Timestamp is gtod, in decimal seconds − e.g. 12345.34567

− Data can be written from shells using echo − echo “,123.456” > /tmp/namedpipe

Adding Custom Data to SPV Some simple code and nodes

Source: Snapdragon Performance Visualizer screen shots

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Custom Data Demonstration

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Profiling and Trace

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Sample based profiling

Uses “perf record” under the covers

Not real-time − Collect – Stop – Analyze

Multiple Visualizations − Text Based (Oprofile)

− ProfileView GUI

Libs provided for instrumented code

Profiling Statistical and instrumented

Source: Snapdragon Performance Visualizer screen shots

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Correlate events

See when frequency changes

Which processes/threads are running

When CPU issues commands to GPU

Per-context Performance Monitors

Call stack analysis

Hot Spot analysis

Not real-time − Collect – Stop – Analyze

Correlates with Live View data

Correlates with Profile data

Correlates with Custom data

Tracing Instrumented kernel and code

Source: Snapdragon Performance Visualizer screen shots

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Profile and Trace Demonstrations

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Qualcomm® Embedded Power Monitor (QEPM)

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Monitors current and voltage rails

Combined sample rates up 50K

Simultaneously monitor multiple devices

Correlate data with SPV − Frequency

− Thermal

− Performance

Web based

Automation interface

Data export capabilities

QEPM

Source: Snapdragon Performance Visualizer screen shots

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QEPM Demonstration

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Questions?

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FAQ and Support for SPV is available on

Qualcomm Developer Network

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developer.qualcomm.com

Augmented reality

Context awareness

Peer to peer

Wireless health

Graphics & gaming

Computer vision

Android applications

App development SDKs & tools

Marketing opportunities

Case Studies & Tutorials

News & Information

Hardware development platforms

Forums & technical support

Tools & resources to help developers build, integrate, and optimize

Qualcomm Developer Network

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For more information on Qualcomm, visit us at: www.qualcomm.com & www.qualcomm.com/blog

Thank you

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