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1



 NVidia's TEGRA
 line of SoC’s for
 mobile devices
 for b
Guided by           - Sukul.Y
Prof R.N.KULKARNI    8th sem ISE
                     3BR09IS052
2



System on Chip(SoC):
A system on a chip
or system on chip
(SoC or SOC) is an
integrated circuit
(IC) that integrates
all components of a
computer or other
electronic system
into a single chip.
3



A typical SoC consists of:
• A microcontroller, microprocessor or DSP
  core(s).
• Memory blocks
• Peripherals
• External interfaces including industry standards
  such as USB, FireWire, Ethernet
• Voltage regulators and power management
  circuits.
4




Example of a SoC’s structure
5




The so called “SMART” race
6




Mobile devices:
•   Smartphones
•   Tablets
•   Portable media players
•   Personal digital assistants(PDA’s)
•   Blu-ray players
•   DVD players
•   Hand-held Gaming consoles
7




• Users today expect their mobile device to not
  only deliver long battery life but also provide the
  same full high definition web experience that
  they get from a PC.

• In addition to web browsing capabilities, users
  expect their mobile devices to handle a variety of
  use cases such as gaming, audio playback,
  navigation and photo/video capture.
8




Common mobile device architecture:
9



Power-Performance Paradox:
• Most mobile device architectures are designed
  around a general purpose CPU.

• The CPU not only underperforms but also
  consumes excessive power for today’s mobile use
  cases.

• Relying on a power hungry CPU either
  compromises battery life to offer good
  performance or delivers substandard
  experiences.
10




The mobile challenge:

The two main challenges are:

• High performance
• Low power consumption
11



The Solution:
• NVidia's TEGRA Multi-Processor Architecture

• Use of a heterogeneous multi-processor
  architecture .

• A heterogeneous multi-processor by definition
  consists of several processors that are different
  in structure and function with each processor
  optimized for a specific purpose
12




8 Purpose optimized processors:
•   Dual-Core ARM Cortex A9 CPU(2)
•   ARM7 Processor
•   Ultra Low-Power Graphics Processor (GPU)
•   HD Video Decode Processor
•   HD Video Encode Processor
•   Audio Processor
•   Image Signal Processor (ISP)
13




NVIDIA
Tegra
purpose-
optimized
processors
14




The Tegra line-up:
•   Tegra APX series
•   Tegra 6xx series
•   Tegra 2 series
•   Tegra 3 series
•   Tegra 4 series
15




Tegra APX SERIES
• Processor: ARM11 600 MHz MPCore (originally
  GeForce ULV)
• Memory: NOR or NAND flash, Mobile DDR
• Graphics: Image processor (FWVGA 854×480
  pixels)
• 720p H.264 Baseline Profile encode or decode
16




Tegra 6xx series
•   Targeted for GPS segment and automotive
•   Processor: ARM11 700 MHz MPCore
•   HD camera 720p
•   Display supports 1080p at 24 frame/s, HDMI
    v1.3, WSXGA+ LCD and CRT, and NTSC/PAL
    TV output
17




Tegra 2 series:

   Model              CPU
  number           instruction      CPU                GPU
                       set
Tegra 250 AP20H       ARMv7      1 GHz Dual-core   ULP GeForce 300
   (Ventana)                     ARM Cortex-A9          MHz

 Tegra 250 T20        ARMv7      1 GHz Dual-core   ULP GeForce 300
  (Harmony)                      ARM Cortex-A9          MHz

 Tegra 250 3D         ARMv7      1 GHz Dual-core    ULP GeForce
     AP25                        ARM Cortex-A9       400 MHz

Tegra 250 3D T25      ARMv7      1 GHz Dual-core    ULP GeForce
                                 ARM Cortex-A9       400 MHz
18



Tegra 3 series:
  Model            CPU
 number         instruction      CPU            GPU
                    set

 Tegra 3 T30L      ARMv7      1.2 GHz Quad-   416 MHz ULP
                                 core ARM       GeForce
                                 Cortex-A9

  Tegra 3 T30      ARMv7      1.4 GHz Quad-   520 MHz ULP
                                 core ARM       GeForce
                                 Cortex-A9

  Tegra 3 T33      ARMv7      1.6 GHz Quad-   520 MHz ULP
                                 core ARM       GeForce
                                 Cortex-A9
19



Tegra 4 series


  Model        CPU
 number     instruction        CPU            GPU
                set

  Tegra 4      ARMv7      1.8 GHz up to 1.9   72 cores
                           GHz quad-core
                          ARM Cortex-A15
20



Use case examples:

• Listening to Music


• Watching Videos


• Playing Games
21


                        Processors
   Use case
                        turned on
• Listening to Music   • dedicated audio
                         processor and the
                         low-power ARM7
                         processor
• Watching Videos      • video decode
                         processor
• Playing Games        • CPUs and the highly
                         optimized NVIDIA
                         GPU
22




NVidia TEGRA Global Power
Management System:

• Use of Numerous distributed hardware
  monitors.

• The feed back from the moniters is used to
  determine the optimal operating frequency and
  voltage for the active processors.
23



Ground-Breaking Performance and
Battery Life:
The following use cases illustrate battery life a
user can expect from an NVIDIA Tegra-based
tablet (with 2000 mAh battery and 400 mW
display)
• Stand-by
• Music playback
• HD video playback on local LCD
• HD video playback on external display
24




Contd.
25


Advantages:
• Lower power consumption , Higher performance
  per watt

• Faster Web page load times

• Higher Performance for demanding applications

• Faster Multitasking

• Higher Quality Gaming
26




Conclusion:
• Dedicated, high-performance processors deliver
  snappy Web browsing, flawless streaming HD
  Flash video, and an exceptional mobile gaming
  experience.
• The revolutionary multi-processor architecture
  and power management features of NVIDIA
  Tegra deliver an exceptional mobile visual
  computing experience with uncompromised
  battery life.
27


References:
• A      white    paper    on    “TEGRA        MULTIPROCESSING
  ARCHITECTURE” published by NVIDIA CORPORATION during
  2010.
• A white paper on “THE BENEFITs OF QUAD-CORE CPU’s IN
  MOBILE DEVICES” published by NVIDIA CORPORATION
  during 2011.
• en.wikipedia.org/wiki/Tegra
• http://www.domaintools.com/internet-statistics/
• http://techcrunch.com/2009/06/09/youtube-video-streams-top-1-
  billionday/
• http://www.facebook.com/apps/application.php?id=102452128776
• en.wikipedia.org/wiki/System_on_a_chip
• videoreference:
  http://www.youtube.com/watch?v=thwgwQMXR84

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Nvidia’s tegra line of processors for mobile devices2 2

  • 1. 1 NVidia's TEGRA line of SoC’s for mobile devices for b Guided by - Sukul.Y Prof R.N.KULKARNI 8th sem ISE 3BR09IS052
  • 2. 2 System on Chip(SoC): A system on a chip or system on chip (SoC or SOC) is an integrated circuit (IC) that integrates all components of a computer or other electronic system into a single chip.
  • 3. 3 A typical SoC consists of: • A microcontroller, microprocessor or DSP core(s). • Memory blocks • Peripherals • External interfaces including industry standards such as USB, FireWire, Ethernet • Voltage regulators and power management circuits.
  • 4. 4 Example of a SoC’s structure
  • 5. 5 The so called “SMART” race
  • 6. 6 Mobile devices: • Smartphones • Tablets • Portable media players • Personal digital assistants(PDA’s) • Blu-ray players • DVD players • Hand-held Gaming consoles
  • 7. 7 • Users today expect their mobile device to not only deliver long battery life but also provide the same full high definition web experience that they get from a PC. • In addition to web browsing capabilities, users expect their mobile devices to handle a variety of use cases such as gaming, audio playback, navigation and photo/video capture.
  • 8. 8 Common mobile device architecture:
  • 9. 9 Power-Performance Paradox: • Most mobile device architectures are designed around a general purpose CPU. • The CPU not only underperforms but also consumes excessive power for today’s mobile use cases. • Relying on a power hungry CPU either compromises battery life to offer good performance or delivers substandard experiences.
  • 10. 10 The mobile challenge: The two main challenges are: • High performance • Low power consumption
  • 11. 11 The Solution: • NVidia's TEGRA Multi-Processor Architecture • Use of a heterogeneous multi-processor architecture . • A heterogeneous multi-processor by definition consists of several processors that are different in structure and function with each processor optimized for a specific purpose
  • 12. 12 8 Purpose optimized processors: • Dual-Core ARM Cortex A9 CPU(2) • ARM7 Processor • Ultra Low-Power Graphics Processor (GPU) • HD Video Decode Processor • HD Video Encode Processor • Audio Processor • Image Signal Processor (ISP)
  • 14. 14 The Tegra line-up: • Tegra APX series • Tegra 6xx series • Tegra 2 series • Tegra 3 series • Tegra 4 series
  • 15. 15 Tegra APX SERIES • Processor: ARM11 600 MHz MPCore (originally GeForce ULV) • Memory: NOR or NAND flash, Mobile DDR • Graphics: Image processor (FWVGA 854×480 pixels) • 720p H.264 Baseline Profile encode or decode
  • 16. 16 Tegra 6xx series • Targeted for GPS segment and automotive • Processor: ARM11 700 MHz MPCore • HD camera 720p • Display supports 1080p at 24 frame/s, HDMI v1.3, WSXGA+ LCD and CRT, and NTSC/PAL TV output
  • 17. 17 Tegra 2 series: Model CPU number instruction CPU GPU set Tegra 250 AP20H ARMv7 1 GHz Dual-core ULP GeForce 300 (Ventana) ARM Cortex-A9 MHz Tegra 250 T20 ARMv7 1 GHz Dual-core ULP GeForce 300 (Harmony) ARM Cortex-A9 MHz Tegra 250 3D ARMv7 1 GHz Dual-core ULP GeForce AP25 ARM Cortex-A9 400 MHz Tegra 250 3D T25 ARMv7 1 GHz Dual-core ULP GeForce ARM Cortex-A9 400 MHz
  • 18. 18 Tegra 3 series: Model CPU number instruction CPU GPU set Tegra 3 T30L ARMv7 1.2 GHz Quad- 416 MHz ULP core ARM GeForce Cortex-A9 Tegra 3 T30 ARMv7 1.4 GHz Quad- 520 MHz ULP core ARM GeForce Cortex-A9 Tegra 3 T33 ARMv7 1.6 GHz Quad- 520 MHz ULP core ARM GeForce Cortex-A9
  • 19. 19 Tegra 4 series Model CPU number instruction CPU GPU set Tegra 4 ARMv7 1.8 GHz up to 1.9 72 cores GHz quad-core ARM Cortex-A15
  • 20. 20 Use case examples: • Listening to Music • Watching Videos • Playing Games
  • 21. 21 Processors Use case turned on • Listening to Music • dedicated audio processor and the low-power ARM7 processor • Watching Videos • video decode processor • Playing Games • CPUs and the highly optimized NVIDIA GPU
  • 22. 22 NVidia TEGRA Global Power Management System: • Use of Numerous distributed hardware monitors. • The feed back from the moniters is used to determine the optimal operating frequency and voltage for the active processors.
  • 23. 23 Ground-Breaking Performance and Battery Life: The following use cases illustrate battery life a user can expect from an NVIDIA Tegra-based tablet (with 2000 mAh battery and 400 mW display) • Stand-by • Music playback • HD video playback on local LCD • HD video playback on external display
  • 25. 25 Advantages: • Lower power consumption , Higher performance per watt • Faster Web page load times • Higher Performance for demanding applications • Faster Multitasking • Higher Quality Gaming
  • 26. 26 Conclusion: • Dedicated, high-performance processors deliver snappy Web browsing, flawless streaming HD Flash video, and an exceptional mobile gaming experience. • The revolutionary multi-processor architecture and power management features of NVIDIA Tegra deliver an exceptional mobile visual computing experience with uncompromised battery life.
  • 27. 27 References: • A white paper on “TEGRA MULTIPROCESSING ARCHITECTURE” published by NVIDIA CORPORATION during 2010. • A white paper on “THE BENEFITs OF QUAD-CORE CPU’s IN MOBILE DEVICES” published by NVIDIA CORPORATION during 2011. • en.wikipedia.org/wiki/Tegra • http://www.domaintools.com/internet-statistics/ • http://techcrunch.com/2009/06/09/youtube-video-streams-top-1- billionday/ • http://www.facebook.com/apps/application.php?id=102452128776 • en.wikipedia.org/wiki/System_on_a_chip • videoreference: http://www.youtube.com/watch?v=thwgwQMXR84