SlideShare a Scribd company logo
Krzysztof Kozlowski
k.kozlowski@samsung.com
Samsung R&D Institute Poland
 Overview and goals
 CPUfreq (with clock down)
 Run-time PM and power domains
 SoC low power states
 CPU idle drivers
 Devfreq
 Summary
 Limit the consumption of energy by mobile device
 Do not hurt performance (at least to some extend)
 The speech will focus on ARM architecture and
Samsung’s Exynos System-on-Chip family, although
ideas are not limited to Exynos
 Target devices: smartphones, tablets, wearables
 Mainline Linux kernel is changing very fast
◦ Some details about specific kernel drivers may become
obsolete soon
◦ Details as for current mainline kernel: 3.16
 All measurements were done on development devices:
◦ Custom kernels
◦ Custom operating systems
 They are not representative for market/end products
 Sometimes measurements on these devices may not
be even close to market products
 Many measurements were done in specific custom
configuration, very different from market product, e.g.:
◦ No CPU idle driver, no CPUfreq driver
◦ Booted to init=/bin/sh
 Measured on:
◦ Trats2, smartphone (Exynos 4412, 4 cores,
freq 200-1400 MHz)
◦ Gear1-like wearable (Exynos 4212, 2 cores, 200-1400 MHz)
◦ Exynos 3250 development board (2 cores, 100-1000 MHz)
 Kernel used:
◦ Exynos 4212 and 4412 : linux-next (next-20140804)
◦ Exynos 3250: internal Linux kernel tree 3.10
 Lack of full support in mainline
 Ondemand governor adjusts the frequency and voltage
to current load
 Specific conditions to embedded world – one
frequency and voltage for whole cluster
◦ On most SoCs: one clock frequency/voltage for all CPUs
◦ Except big.LITTLE (e.g. 2 clusters on quad-core Exynos Octa)
 Dual cluster SoCs have big.LITTLE
CPUfreq driver
Photo by Pauli Rautakorpi
 Separate CPUfreq drivers for each SoC
 Moving toward one generic cpufreq-cpu0 driver
 cpufreq-cpu0 requires:
◦ Clock to operate on (provided by clock driver)
◦ Optionally voltage regulator (provided by regulator driver)
◦ Table of Operating Performance Points from Device Tree
 OPP is a tuple of frequency and voltage
 Clock/regulator/OPP frameworks add necessary
abstraction layer and make cpufreq-cpu0 a generic
solution
 Reduces the frequency upon entering WFI or WFE
instruction (Wait for Interrupt/Event)
◦ All cores must be idle
 Behaves like a hardware ondemand CPUfreq governor
◦ But only for clock frequency (voltages remain untouched)
 Supported by most of Exynos SoCs
◦ As part of clock driver for Exynos 3250, Exynos 4 and Exynos
5250 [1]
 Measurements in idle mode (basic CPU idle – WFI), no load
 No benefits if CPUfreq governor is ondemand which is quite obvious
 ARMCLK cannot get below minimal frequency used in CPUfreq driver
 Ondemand CPUfreq reduces also ARM voltage
Board SoC Frequency
[MHz]
Idle [mA] Idle + clock down
[mA]
Trats2 Exynos 4412
1400 198 170
200 115 114
Gear1-like Exynos 4212
1400 102 82
200 60 59
Dev-board Exynos 3250
1000 36.2 26.7
100 19.2 18.5
0
50
100
150
200
250
current[mA]
ARMCLK clk down: energy consumption
Idle
Idle + clock down
Kernel Features for Reducing Power Consumption on Embedded Devices
 Putting devices into low power states when not used
◦ Optionally: automatically delayed suspends
 Needs support in device drivers
◦ Driver specifies when it is working and idle
 Usage counter (pm_runtime_get()/put())
 Time of last activities (pm_runtime_mark_last_busy())
◦ Driver implements runtime suspend and resume callbacks
 Local power control, powered independently
 Example power domains:
◦ CPU-s
◦ Multi-Format Codec (MFC)
◦ G3D (e.g. Mali)
◦ LCD
◦ Image Signal Processor
◦ Camera
 Linux offers a generic power domain framework [2]
◦ Used by SH-Mobile and Exynos
 Other vendors implement this on their own
 Multiple Linux devices can be attached to a domain
SoC
CPU0
CPU1
MFC
Camera
Camera
JPEG
TV
Mixer
Video
Processor
HDMI
Power Domain Devices
 Integrates with runtime PM
◦ If all attached devices have been suspended, power down
whole domain
 Differences in energy consumption:
Board SoC All domains
enabled
permanently [mA]
Power domain
runtime PM
[mA]
Diff [%]
Trats2 Exynos 4412 124 114 -8%
Dev-board Exynos 3250 24.7 18.5 -25%
 Measurements in idle mode (basic CPU idle - WFI), no load
Kernel Features for Reducing Power Consumption on Embedded Devices
 When in idle, enter low power state to save energy
◦ Responsible: CPU idle framework and drivers
 Wait for Interrupt (WFI), basic idle state
 Various SoCs support deeper low power states
◦ Msm: retention, standalone power collapse, power collapse
◦ Exynos: ARM Off TOP Running (AFTR), W-AFTR, Low Power
Audio playback (LPA)
 W-AFTR and LPA extends the AFTR low power mode
 Usually they have higher latency for enter and leave
◦ Enter deeper state only if we won’t be awaken right away
 System-level states
◦ Whole system must be prepared
1. CPU[1-n] must be powered off
2. Then CPU0 triggers entering deep low power state
 ARM Off TOP Running (AFTR)
◦ Cortex core is power gated (power supplied but internally
gated)
◦ Most of other modules are powered on (e.g. Audio, MMC,
CoreSight, USB, I2C, UART etc.)
 W-AFTR (on Exynos 3250)
◦ AFTR + power gating everything that can be power gated
◦ Except Dynamic Memory Controller, DDR, RTC
◦ Fast wake-up
 Low Power Audio playback (LPA, on other Exynos SoCs)
◦ AFTR + power gating everything that can be power gated
◦ Contents of L2 cache and TOP modules are preserved
(retention)
◦ Audio related blocks are on
 Sleep
◦ Power not supplied (regulators turned off)
◦ Only ALIVE and RTC blocks are on
◦ Entered with Suspend-to-RAM
Low power state Subsystem Requires additional drivers
WFI Scheduler (idle loop) No, built-in
AFTR, W-AFTR,
LPA
CPU idle
CPU idle driver and support
for board (arch/arm/mach-*)
Sleep Suspend
support for board
(arch/arm/mach-*)
 From CPU idle perspective: states are „coupled”
◦ Entering AFTR/W-AFTR/LPA depends on powering down all
other CPUs[1-n]
◦ If only CPU0 is left on, then CPU idle triggers low power state
 User space may hot unplug idle CPUs[1-n]
◦ echo 0 > /sys/bus/cpu/devices/cpu1/online
◦ E.g. mpdecision daemon for msm
 Kernel may synchronize entering idle states
◦ Coupled CPU idle drivers
 echo mem > /sys/power/state
Sync
Wait for CPU1 to
power down
Power
down
Enter AFTR
or WAFTR
CPU0
awake
Sync
Wait for CPU1 to
power up
Power
down
AFTR or
WAFTR
Woken
up
Woken up
by CPU0
IRQ
Wake
CPU1
 big.LITTLE
◦ Suspend whole cluster
◦ Supported Versatile TC2 (Linux 3.16) and Exynos 5420 (next)
 Exynos AFTR
◦ Currently only for Exynos 4210 and Exynos 5250
◦ Requires manual hot unplug of CPU1 to work
 Coupled CPU idle driver for Exynos (CPU1 off, CPU0
AFTR)
◦ On going work, patch by Daniel Lezcano [3]
 Due to lack of support in mainline all measurements
were done on internal Linux kernel tree 3.10
 Development board with Exynos 3250 (2 cores,
100-1000 MHz)
 The goal of measurements is to show overall
differences between CPU low power states
 Workload: simple computation tasks (work-sleep-
work), mainly used to test scheduler
 Tested configurations:
◦ CPUs enter only WFI (no CPU idle driver)
◦ Power down CPU1 from userspace permanently, CPU0 enters
WFI (no CPU idle driver)
◦ Coupled CPU idle: CPU1 power off, CPU0 AFTR
◦ Coupled CPU idle: CPU1 power off, CPU0 AFTR or W-AFTR
 W-AFTR is entered if certain conditions are met. If no, enter AFTR.
 Conditions:
 Camera, G3D, MFC power domains are off
 Certain bus clocks are gated
 MMC is idle
CPU frequency 2 tasks 3 tasks 4 tasks
WFI (CPU0 + CPU1) 200 MHz 200-600 MHz 200-600 MHz
CPU1 powered off 500 MHz 300-900 MHz 400-1000 MHz
25%
23%
35%35%
44%
46%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
2 3 4
TotalCPUload[%]
No. tasks
Total CPU usage, during load
WFI (CPU0 + CPU1)
CPU0 WFI + CPU1 always off
22.6
26
28
23.8
26.4
20
21
22
23
24
25
26
27
28
29
2 3 4
current[mA]
No. tasks
Energy consumption, during load
WFI (CPU0 + CPU1)
CPU0 WFI + CPU1 always off
 What about coupled CPU idle drivers (CPU1 off, CPU0
AFTR or W-AFTR)?
◦ No differences because the load prevented entering deeper
idle states
 But a new driver which powers off CPU1 also when
CPU0 is busy makes sense
◦ Workload consolidation in scheduler could also help
(increased idle time of CPU1)
◦ Already discussed and some works are in progress [4]
 Power-aware scheduling [5]
 Sched packing [6]
 Workload consolidation and CPU ConCurrency [7]
CPU idle driver Idle [mA] Diff against WFI
WFI (CPU0 + CPU1) 18.5
CPU0 WFI + CPU1 always off 18.3 -1.0%
CPU idle, coupled, OFF+AFTR 17.8 -3.8%
CPU idle, coupled, OFF+AFTR/WAFTR 9.8 -47.0%
Suspend-to-RAM 0.46
 No load
 Exynos 3250 CPU @100 MHz
0
2
4
6
8
10
12
14
16
18
20
WFI (CPU0 + CPU1) CPU0 WFI + CPU1
always off
Coupled,
OFF+AFTR
Coupled,
OFF+AFTR/WAFTR
Suspend-to-RAM
current[mA]
CPU idle: energy consumption, idle
Kernel Features for Reducing Power Consumption on Embedded Devices
 Dynamic Voltage and Frequency Scaling for devices
◦ e.g. Memory bus, MFC, G2D, ISP, SD/MMC
 Governors similar to CPUfreq (ondemand etc.)
◦ Current load may be taken from device performance counters
 Exynos: number of read and write operations in Dynamic Memory
Controller
 Mainline: only drivers for Exynos 4 and Exynos 5250
◦ ... but only for Exynos 5250 is working
 Due to lack of support in mainline all measurements
were done on internal Linux kernel tree 3.10
 Development board with Exynos 3250 (2 cores,
100-1000 MHz)
 The goal of measurements is to show overall difference
that devfreq makes
Possible values for Exynos 3250
development board
Min Max
INT voltage 0.80 V 1.00 V
MIF voltage 0.85 V 1.00 V
DMC clock 50 MHz 400 MHz
LEFT/RIGHT buses clock 50 MHz 133 MHz
 No devfreq means that highest voltages and clock rates
are chosen for:
◦ bus clocks
◦ INT and MIF regulators supplying power to many SoC modules
CPU idle driver No devfreq [mA] With devfreq [mA] Diff [%]
WFI (CPU0 + CPU1) 28.9 18.5 -36%
CPU0 WFI + CPU1
always off
28.6 18.3 -36%
CPU idle, coupled,
OFF+AFTR
27.9 17.8 -36%
CPU idle, coupled,
OFF+AFTR/WAFTR
16.3 9.8 -40%
 No load
 Exynos 3250 CPU @100 MHz
0
5
10
15
20
25
30
35
WFI (CPU0 + CPU1) CPU0 WFI + CPU1
always off
Coupled,
OFF+AFTR
Coupled,
OFF+AFTR/WAFTR
current[mA]
Devfreq: energy consumption, idle
devfreq
no devfreq
 Linux kernel has a number of features for reducing
energy usage
◦ Unfortunately many drivers are not yet present in mainline
 Most benefits come with:
◦ Frequency and voltage scaling (CPUfreq, devfreq)
◦ Entering low power CPU states (CPU idle)
◦ Developing good drivers
 For external resources use abstraction provided by the kernel (e.g.
Common Clock Framework, regulators)
 Runtime PM (if it is applicable)
 Still a lot of work to do
◦ Drivers: CPU idle, devfreq
◦ Integration between scheduler, CPUfreq and CPU idle
◦ Mobile devices are somehow different
 Energy consumption is an important factor (How often do you
have to charge your phone?)
 Mobile device is mostly idle (more opportunities to sleep)
 Consolidating workload makes sense (to some extend)
Thank you!
Any questions?
 [1] Common Clock Framework drivers for Exynos 4, 3250 and
5250
drivers/clk/samsung/clk-exynos*.c
 [2] Generic Device Power Domains
include/linux/om_domain.h
 [3] Coupled cpuidle driver for Exynos
Exynos4: cpuidle: support dual CPUs with AFTR state
http://thread.gmane.org/gmane.linux.power-
management.general/44248
 [4] Toward a more power-efficient scheduler, Jonathan Corbet
http://lwn.net/Articles/546664/
 [5] Morten Rasmussen
 Power-aware scheduling v2
https://lkml.org/lkml/2013/10/11/547
 sched: Energy cost model for energy-aware scheduling
https://lkml.org/lkml/2014/5/23/621
 [6] Sched: packing tasks (and newer works), Vincent Guittot
https://lkml.org/lkml/2013/10/18/121
 [7] A new CPU load metric for power-efficient scheduler: CPU
ConCurrency, Yuyang Du
https://lkml.org/lkml/2014/6/25/162

More Related Content

PDF
U-Boot - An universal bootloader
PDF
Docker, Linux Containers (LXC), and security
PDF
Audio Drivers
PPTX
Linux interview questions and answers
PPT
Introduction to Linux Kernel by Quontra Solutions
PDF
The kvm virtualization way
PPT
Android CTS training
PDF
Linux kernel debugging
U-Boot - An universal bootloader
Docker, Linux Containers (LXC), and security
Audio Drivers
Linux interview questions and answers
Introduction to Linux Kernel by Quontra Solutions
The kvm virtualization way
Android CTS training
Linux kernel debugging

What's hot (20)

PDF
Virtualization with KVM (Kernel-based Virtual Machine)
PPTX
virtualization and hypervisors
PDF
Trusted firmware deep_dive_v1.0_
ODP
Kvm virtualization platform
PDF
SFO15-302: Energy Aware Scheduling: Progress Update
PPT
Vitualization - Công nghệ ảo hóa.
PPT
Bootstrap process of u boot (NDS32 RISC CPU)
PDF
Linux Internals - Part II
PPT
U Boot or Universal Bootloader
PPTX
What is Bootloader???
PPTX
Linux Memory Management
PDF
Linux Hardening
PDF
Ansible - Introduction
ODP
Basics of boot-loader
PDF
Project ACRN hypervisor introduction
PPTX
Virtualization concept slideshare
ODP
The Theory and Implementation of DVFS on Linux
PPTX
Introducing Xen Server
PPTX
What Is Ansible? | How Ansible Works? | Ansible Tutorial For Beginners | DevO...
PDF
Virtualization with KVM (Kernel-based Virtual Machine)
virtualization and hypervisors
Trusted firmware deep_dive_v1.0_
Kvm virtualization platform
SFO15-302: Energy Aware Scheduling: Progress Update
Vitualization - Công nghệ ảo hóa.
Bootstrap process of u boot (NDS32 RISC CPU)
Linux Internals - Part II
U Boot or Universal Bootloader
What is Bootloader???
Linux Memory Management
Linux Hardening
Ansible - Introduction
Basics of boot-loader
Project ACRN hypervisor introduction
Virtualization concept slideshare
The Theory and Implementation of DVFS on Linux
Introducing Xen Server
What Is Ansible? | How Ansible Works? | Ansible Tutorial For Beginners | DevO...
Ad

Viewers also liked (6)

PDF
SoC Idling for unconf COSCUP 2016
PDF
Q2.12: Idling ARMs in a busy world: Linux Power Management for ARM Multiclust...
PDF
Kernel Recipes 2015: Introduction to Kernel Power Management
PDF
LCA13: CPUIDLE: One driver to rule them all?
PDF
Android power management
PDF
Q2.12: Research Update on big.LITTLE MP Scheduling
SoC Idling for unconf COSCUP 2016
Q2.12: Idling ARMs in a busy world: Linux Power Management for ARM Multiclust...
Kernel Recipes 2015: Introduction to Kernel Power Management
LCA13: CPUIDLE: One driver to rule them all?
Android power management
Q2.12: Research Update on big.LITTLE MP Scheduling
Ad

Similar to Kernel Features for Reducing Power Consumption on Embedded Devices (20)

PDF
Linux_swspnd_v0.3_pub1
PPTX
Intern presentation nicolechiou_2018_vareximaging_sanitized
PDF
Hilman-Runtime-Power management linux .pdf
PPTX
Understanding the characteristics of android wear os
PPT
OK Labs - Virtualization as the Nexus of Multicore Power Management
PDF
Tizen Developer Conference 2017 San Francisco - Tizen Power Management Servic...
PDF
BKK16-TR08 How to generate power models for EAS and IPA
PDF
Hibernation in Linux 2.6.29
PDF
BKK16-317 How to generate power models for EAS and IPA
PDF
HKG15-107: ACPI Power Management on ARM64 Servers (v2)
PPTX
Computer Architecture and Organization
PDF
Dynamic Frequency Scaling Regarding Memory for Energy Efficiency of Embedded...
PDF
BKK16-104 sched-freq
PPTX
Multi-Core Architectural Decomposition Methods for Low-Power Symmetric and As...
PDF
PowerManagement
PPTX
참여기관_발표자료-국민대학교 201301 정기회의
PDF
Analyze and optimize Android apps power consumption
PDF
Energy Consumption Saving in Embedded Microprocessors Using Hardware Accelera...
PPTX
FD-SOI Harnessing the Power - DAC 2016 Austin Presentation
PDF
Linux power management: are you doing it right?
Linux_swspnd_v0.3_pub1
Intern presentation nicolechiou_2018_vareximaging_sanitized
Hilman-Runtime-Power management linux .pdf
Understanding the characteristics of android wear os
OK Labs - Virtualization as the Nexus of Multicore Power Management
Tizen Developer Conference 2017 San Francisco - Tizen Power Management Servic...
BKK16-TR08 How to generate power models for EAS and IPA
Hibernation in Linux 2.6.29
BKK16-317 How to generate power models for EAS and IPA
HKG15-107: ACPI Power Management on ARM64 Servers (v2)
Computer Architecture and Organization
Dynamic Frequency Scaling Regarding Memory for Energy Efficiency of Embedded...
BKK16-104 sched-freq
Multi-Core Architectural Decomposition Methods for Low-Power Symmetric and As...
PowerManagement
참여기관_발표자료-국민대학교 201301 정기회의
Analyze and optimize Android apps power consumption
Energy Consumption Saving in Embedded Microprocessors Using Hardware Accelera...
FD-SOI Harnessing the Power - DAC 2016 Austin Presentation
Linux power management: are you doing it right?

More from Ryo Jin (20)

PDF
Why is EFL used on Tizen?
PDF
Samsung Z4 User Manual
PDF
Samsung ARTIK 050 (ARTIK ZERO) Modules Data Sheet
PDF
Introduction to Watch Face Development with Tizen Studio
PDF
Tizen 3.0's Window System Integration Layer of OpenGLES/EGL & Vulkan Driver
PDF
Panduan Penggunaan Perangkat Wearable Tizen
PDF
Cara Menggunakan Smartphone Tizen
PDF
Gear Fit2 Watchface Design Guide
PDF
Samsung Indonesia: Tizen Store
PDF
Samsung Indonesia: Tizen Wearables
PDF
Samsung Indonesia: Tizen Web Apps
PDF
Samsung Indonesia: Tizen Native App
PDF
Samsung Indonesia: Tizen Platform Overview and IoT
PDF
Russian Tizen Project
PDF
Samsung SM-R360 Tizen User Manual
PDF
Tizen Micro Profile for IoT device
PDF
Panduan Dasar Pemrograman Tizen
PDF
The Story of Enlightenment, EFL, Tizen and Wayland
PDF
Tizen PASS
PDF
Tizen PASS
Why is EFL used on Tizen?
Samsung Z4 User Manual
Samsung ARTIK 050 (ARTIK ZERO) Modules Data Sheet
Introduction to Watch Face Development with Tizen Studio
Tizen 3.0's Window System Integration Layer of OpenGLES/EGL & Vulkan Driver
Panduan Penggunaan Perangkat Wearable Tizen
Cara Menggunakan Smartphone Tizen
Gear Fit2 Watchface Design Guide
Samsung Indonesia: Tizen Store
Samsung Indonesia: Tizen Wearables
Samsung Indonesia: Tizen Web Apps
Samsung Indonesia: Tizen Native App
Samsung Indonesia: Tizen Platform Overview and IoT
Russian Tizen Project
Samsung SM-R360 Tizen User Manual
Tizen Micro Profile for IoT device
Panduan Dasar Pemrograman Tizen
The Story of Enlightenment, EFL, Tizen and Wayland
Tizen PASS
Tizen PASS

Recently uploaded (20)

PDF
Mobile App Security Testing_ A Comprehensive Guide.pdf
PDF
The Rise and Fall of 3GPP – Time for a Sabbatical?
PPT
Teaching material agriculture food technology
PDF
Spectral efficient network and resource selection model in 5G networks
PPTX
KOM of Painting work and Equipment Insulation REV00 update 25-dec.pptx
PDF
Advanced methodologies resolving dimensionality complications for autism neur...
PDF
Building Integrated photovoltaic BIPV_UPV.pdf
PPTX
Cloud computing and distributed systems.
PDF
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
PDF
How UI/UX Design Impacts User Retention in Mobile Apps.pdf
PDF
Architecting across the Boundaries of two Complex Domains - Healthcare & Tech...
PDF
Empathic Computing: Creating Shared Understanding
PPTX
Understanding_Digital_Forensics_Presentation.pptx
PPTX
VMware vSphere Foundation How to Sell Presentation-Ver1.4-2-14-2024.pptx
PDF
Diabetes mellitus diagnosis method based random forest with bat algorithm
PDF
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
PDF
Review of recent advances in non-invasive hemoglobin estimation
PPTX
Programs and apps: productivity, graphics, security and other tools
PDF
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
PDF
Chapter 3 Spatial Domain Image Processing.pdf
Mobile App Security Testing_ A Comprehensive Guide.pdf
The Rise and Fall of 3GPP – Time for a Sabbatical?
Teaching material agriculture food technology
Spectral efficient network and resource selection model in 5G networks
KOM of Painting work and Equipment Insulation REV00 update 25-dec.pptx
Advanced methodologies resolving dimensionality complications for autism neur...
Building Integrated photovoltaic BIPV_UPV.pdf
Cloud computing and distributed systems.
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
How UI/UX Design Impacts User Retention in Mobile Apps.pdf
Architecting across the Boundaries of two Complex Domains - Healthcare & Tech...
Empathic Computing: Creating Shared Understanding
Understanding_Digital_Forensics_Presentation.pptx
VMware vSphere Foundation How to Sell Presentation-Ver1.4-2-14-2024.pptx
Diabetes mellitus diagnosis method based random forest with bat algorithm
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
Review of recent advances in non-invasive hemoglobin estimation
Programs and apps: productivity, graphics, security and other tools
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
Chapter 3 Spatial Domain Image Processing.pdf

Kernel Features for Reducing Power Consumption on Embedded Devices

  • 2.  Overview and goals  CPUfreq (with clock down)  Run-time PM and power domains  SoC low power states  CPU idle drivers  Devfreq  Summary
  • 3.  Limit the consumption of energy by mobile device  Do not hurt performance (at least to some extend)  The speech will focus on ARM architecture and Samsung’s Exynos System-on-Chip family, although ideas are not limited to Exynos  Target devices: smartphones, tablets, wearables  Mainline Linux kernel is changing very fast ◦ Some details about specific kernel drivers may become obsolete soon ◦ Details as for current mainline kernel: 3.16
  • 4.  All measurements were done on development devices: ◦ Custom kernels ◦ Custom operating systems  They are not representative for market/end products  Sometimes measurements on these devices may not be even close to market products  Many measurements were done in specific custom configuration, very different from market product, e.g.: ◦ No CPU idle driver, no CPUfreq driver ◦ Booted to init=/bin/sh
  • 5.  Measured on: ◦ Trats2, smartphone (Exynos 4412, 4 cores, freq 200-1400 MHz) ◦ Gear1-like wearable (Exynos 4212, 2 cores, 200-1400 MHz) ◦ Exynos 3250 development board (2 cores, 100-1000 MHz)  Kernel used: ◦ Exynos 4212 and 4412 : linux-next (next-20140804) ◦ Exynos 3250: internal Linux kernel tree 3.10  Lack of full support in mainline
  • 6.  Ondemand governor adjusts the frequency and voltage to current load  Specific conditions to embedded world – one frequency and voltage for whole cluster ◦ On most SoCs: one clock frequency/voltage for all CPUs ◦ Except big.LITTLE (e.g. 2 clusters on quad-core Exynos Octa)  Dual cluster SoCs have big.LITTLE CPUfreq driver Photo by Pauli Rautakorpi
  • 7.  Separate CPUfreq drivers for each SoC  Moving toward one generic cpufreq-cpu0 driver  cpufreq-cpu0 requires: ◦ Clock to operate on (provided by clock driver) ◦ Optionally voltage regulator (provided by regulator driver) ◦ Table of Operating Performance Points from Device Tree  OPP is a tuple of frequency and voltage  Clock/regulator/OPP frameworks add necessary abstraction layer and make cpufreq-cpu0 a generic solution
  • 8.  Reduces the frequency upon entering WFI or WFE instruction (Wait for Interrupt/Event) ◦ All cores must be idle  Behaves like a hardware ondemand CPUfreq governor ◦ But only for clock frequency (voltages remain untouched)  Supported by most of Exynos SoCs ◦ As part of clock driver for Exynos 3250, Exynos 4 and Exynos 5250 [1]
  • 9.  Measurements in idle mode (basic CPU idle – WFI), no load  No benefits if CPUfreq governor is ondemand which is quite obvious  ARMCLK cannot get below minimal frequency used in CPUfreq driver  Ondemand CPUfreq reduces also ARM voltage Board SoC Frequency [MHz] Idle [mA] Idle + clock down [mA] Trats2 Exynos 4412 1400 198 170 200 115 114 Gear1-like Exynos 4212 1400 102 82 200 60 59 Dev-board Exynos 3250 1000 36.2 26.7 100 19.2 18.5
  • 10. 0 50 100 150 200 250 current[mA] ARMCLK clk down: energy consumption Idle Idle + clock down
  • 12.  Putting devices into low power states when not used ◦ Optionally: automatically delayed suspends  Needs support in device drivers ◦ Driver specifies when it is working and idle  Usage counter (pm_runtime_get()/put())  Time of last activities (pm_runtime_mark_last_busy()) ◦ Driver implements runtime suspend and resume callbacks
  • 13.  Local power control, powered independently  Example power domains: ◦ CPU-s ◦ Multi-Format Codec (MFC) ◦ G3D (e.g. Mali) ◦ LCD ◦ Image Signal Processor ◦ Camera  Linux offers a generic power domain framework [2] ◦ Used by SH-Mobile and Exynos  Other vendors implement this on their own
  • 14.  Multiple Linux devices can be attached to a domain SoC CPU0 CPU1 MFC Camera Camera JPEG TV Mixer Video Processor HDMI Power Domain Devices
  • 15.  Integrates with runtime PM ◦ If all attached devices have been suspended, power down whole domain  Differences in energy consumption: Board SoC All domains enabled permanently [mA] Power domain runtime PM [mA] Diff [%] Trats2 Exynos 4412 124 114 -8% Dev-board Exynos 3250 24.7 18.5 -25%  Measurements in idle mode (basic CPU idle - WFI), no load
  • 17.  When in idle, enter low power state to save energy ◦ Responsible: CPU idle framework and drivers  Wait for Interrupt (WFI), basic idle state  Various SoCs support deeper low power states ◦ Msm: retention, standalone power collapse, power collapse ◦ Exynos: ARM Off TOP Running (AFTR), W-AFTR, Low Power Audio playback (LPA)  W-AFTR and LPA extends the AFTR low power mode  Usually they have higher latency for enter and leave ◦ Enter deeper state only if we won’t be awaken right away
  • 18.  System-level states ◦ Whole system must be prepared 1. CPU[1-n] must be powered off 2. Then CPU0 triggers entering deep low power state  ARM Off TOP Running (AFTR) ◦ Cortex core is power gated (power supplied but internally gated) ◦ Most of other modules are powered on (e.g. Audio, MMC, CoreSight, USB, I2C, UART etc.)
  • 19.  W-AFTR (on Exynos 3250) ◦ AFTR + power gating everything that can be power gated ◦ Except Dynamic Memory Controller, DDR, RTC ◦ Fast wake-up  Low Power Audio playback (LPA, on other Exynos SoCs) ◦ AFTR + power gating everything that can be power gated ◦ Contents of L2 cache and TOP modules are preserved (retention) ◦ Audio related blocks are on
  • 20.  Sleep ◦ Power not supplied (regulators turned off) ◦ Only ALIVE and RTC blocks are on ◦ Entered with Suspend-to-RAM Low power state Subsystem Requires additional drivers WFI Scheduler (idle loop) No, built-in AFTR, W-AFTR, LPA CPU idle CPU idle driver and support for board (arch/arm/mach-*) Sleep Suspend support for board (arch/arm/mach-*)
  • 21.  From CPU idle perspective: states are „coupled” ◦ Entering AFTR/W-AFTR/LPA depends on powering down all other CPUs[1-n] ◦ If only CPU0 is left on, then CPU idle triggers low power state  User space may hot unplug idle CPUs[1-n] ◦ echo 0 > /sys/bus/cpu/devices/cpu1/online ◦ E.g. mpdecision daemon for msm  Kernel may synchronize entering idle states ◦ Coupled CPU idle drivers  echo mem > /sys/power/state
  • 22. Sync Wait for CPU1 to power down Power down Enter AFTR or WAFTR CPU0 awake
  • 23. Sync Wait for CPU1 to power up Power down AFTR or WAFTR Woken up Woken up by CPU0 IRQ Wake CPU1
  • 24.  big.LITTLE ◦ Suspend whole cluster ◦ Supported Versatile TC2 (Linux 3.16) and Exynos 5420 (next)  Exynos AFTR ◦ Currently only for Exynos 4210 and Exynos 5250 ◦ Requires manual hot unplug of CPU1 to work  Coupled CPU idle driver for Exynos (CPU1 off, CPU0 AFTR) ◦ On going work, patch by Daniel Lezcano [3]
  • 25.  Due to lack of support in mainline all measurements were done on internal Linux kernel tree 3.10  Development board with Exynos 3250 (2 cores, 100-1000 MHz)  The goal of measurements is to show overall differences between CPU low power states  Workload: simple computation tasks (work-sleep- work), mainly used to test scheduler
  • 26.  Tested configurations: ◦ CPUs enter only WFI (no CPU idle driver) ◦ Power down CPU1 from userspace permanently, CPU0 enters WFI (no CPU idle driver) ◦ Coupled CPU idle: CPU1 power off, CPU0 AFTR ◦ Coupled CPU idle: CPU1 power off, CPU0 AFTR or W-AFTR  W-AFTR is entered if certain conditions are met. If no, enter AFTR.  Conditions:  Camera, G3D, MFC power domains are off  Certain bus clocks are gated  MMC is idle
  • 27. CPU frequency 2 tasks 3 tasks 4 tasks WFI (CPU0 + CPU1) 200 MHz 200-600 MHz 200-600 MHz CPU1 powered off 500 MHz 300-900 MHz 400-1000 MHz 25% 23% 35%35% 44% 46% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 2 3 4 TotalCPUload[%] No. tasks Total CPU usage, during load WFI (CPU0 + CPU1) CPU0 WFI + CPU1 always off
  • 28. 22.6 26 28 23.8 26.4 20 21 22 23 24 25 26 27 28 29 2 3 4 current[mA] No. tasks Energy consumption, during load WFI (CPU0 + CPU1) CPU0 WFI + CPU1 always off
  • 29.  What about coupled CPU idle drivers (CPU1 off, CPU0 AFTR or W-AFTR)? ◦ No differences because the load prevented entering deeper idle states  But a new driver which powers off CPU1 also when CPU0 is busy makes sense ◦ Workload consolidation in scheduler could also help (increased idle time of CPU1) ◦ Already discussed and some works are in progress [4]  Power-aware scheduling [5]  Sched packing [6]  Workload consolidation and CPU ConCurrency [7]
  • 30. CPU idle driver Idle [mA] Diff against WFI WFI (CPU0 + CPU1) 18.5 CPU0 WFI + CPU1 always off 18.3 -1.0% CPU idle, coupled, OFF+AFTR 17.8 -3.8% CPU idle, coupled, OFF+AFTR/WAFTR 9.8 -47.0% Suspend-to-RAM 0.46  No load  Exynos 3250 CPU @100 MHz
  • 31. 0 2 4 6 8 10 12 14 16 18 20 WFI (CPU0 + CPU1) CPU0 WFI + CPU1 always off Coupled, OFF+AFTR Coupled, OFF+AFTR/WAFTR Suspend-to-RAM current[mA] CPU idle: energy consumption, idle
  • 33.  Dynamic Voltage and Frequency Scaling for devices ◦ e.g. Memory bus, MFC, G2D, ISP, SD/MMC  Governors similar to CPUfreq (ondemand etc.) ◦ Current load may be taken from device performance counters  Exynos: number of read and write operations in Dynamic Memory Controller  Mainline: only drivers for Exynos 4 and Exynos 5250 ◦ ... but only for Exynos 5250 is working
  • 34.  Due to lack of support in mainline all measurements were done on internal Linux kernel tree 3.10  Development board with Exynos 3250 (2 cores, 100-1000 MHz)  The goal of measurements is to show overall difference that devfreq makes
  • 35. Possible values for Exynos 3250 development board Min Max INT voltage 0.80 V 1.00 V MIF voltage 0.85 V 1.00 V DMC clock 50 MHz 400 MHz LEFT/RIGHT buses clock 50 MHz 133 MHz  No devfreq means that highest voltages and clock rates are chosen for: ◦ bus clocks ◦ INT and MIF regulators supplying power to many SoC modules
  • 36. CPU idle driver No devfreq [mA] With devfreq [mA] Diff [%] WFI (CPU0 + CPU1) 28.9 18.5 -36% CPU0 WFI + CPU1 always off 28.6 18.3 -36% CPU idle, coupled, OFF+AFTR 27.9 17.8 -36% CPU idle, coupled, OFF+AFTR/WAFTR 16.3 9.8 -40%  No load  Exynos 3250 CPU @100 MHz
  • 37. 0 5 10 15 20 25 30 35 WFI (CPU0 + CPU1) CPU0 WFI + CPU1 always off Coupled, OFF+AFTR Coupled, OFF+AFTR/WAFTR current[mA] Devfreq: energy consumption, idle devfreq no devfreq
  • 38.  Linux kernel has a number of features for reducing energy usage ◦ Unfortunately many drivers are not yet present in mainline  Most benefits come with: ◦ Frequency and voltage scaling (CPUfreq, devfreq) ◦ Entering low power CPU states (CPU idle) ◦ Developing good drivers  For external resources use abstraction provided by the kernel (e.g. Common Clock Framework, regulators)  Runtime PM (if it is applicable)
  • 39.  Still a lot of work to do ◦ Drivers: CPU idle, devfreq ◦ Integration between scheduler, CPUfreq and CPU idle ◦ Mobile devices are somehow different  Energy consumption is an important factor (How often do you have to charge your phone?)  Mobile device is mostly idle (more opportunities to sleep)  Consolidating workload makes sense (to some extend)
  • 41.  [1] Common Clock Framework drivers for Exynos 4, 3250 and 5250 drivers/clk/samsung/clk-exynos*.c  [2] Generic Device Power Domains include/linux/om_domain.h  [3] Coupled cpuidle driver for Exynos Exynos4: cpuidle: support dual CPUs with AFTR state http://thread.gmane.org/gmane.linux.power- management.general/44248  [4] Toward a more power-efficient scheduler, Jonathan Corbet http://lwn.net/Articles/546664/
  • 42.  [5] Morten Rasmussen  Power-aware scheduling v2 https://lkml.org/lkml/2013/10/11/547  sched: Energy cost model for energy-aware scheduling https://lkml.org/lkml/2014/5/23/621  [6] Sched: packing tasks (and newer works), Vincent Guittot https://lkml.org/lkml/2013/10/18/121  [7] A new CPU load metric for power-efficient scheduler: CPU ConCurrency, Yuyang Du https://lkml.org/lkml/2014/6/25/162