Java fx on raspberry pi gerrit grunwald

•

0 likes•4,070 views

JavaFX can be used to create user interfaces for embedded systems like the Raspberry Pi and BeagleBone Black. While Java's "write once, run anywhere" mantra does not directly apply to embedded due to different requirements and constraints, much code can be reused from mobile and desktop applications by focusing on content over elaborate graphics, limiting the number of nodes in the scene graph, and avoiding memory-intensive operations. With optimization, JavaFX applications can run well on embedded devices with as few as 3-60 nodes in the scene graph.

Gerrit
Grunwald
!
!
!
!

canoo
TWITTER: @hansolo_

Engineering AG

WEB: harmonic-code.org

CPU : ARM A9 DualCore
Clock: 1.2 GHz
Ram : 1 GB
GPU : Power VR SGX540

Benefits of Java
Superb developer toolchain
★ Mature, fast, widespread
★ Thousands of libraries
★ Huge community
★ No standard on embedded
★

★ Home

automation
★ Home entertainment
★ Medical devices
★ Information Kiosks
★ Education

Without support for
Swing/SWT
★ System Menu
★ Drag'n Drop
★ WebView
★ Media (e.g. AudioClip)
★

Available JDK's

11/2013

★

JDK 7 (JFX 2)*

★

JDK 8 (JFX 8)
*dev. prev. from 2012

Target* footprint
6
1
~
N

B
M

I
M

*~32 MB today

WHAT ARE THE SUPPORTED

PLATFORMS ?
11/2013

ARM A8, 1 GHz
★ 512 MB RAM
★ 4 x USB
★ ETHERNET RJ45
★ HDMI
★ I2C, JTAG, SPI
★

JDK 7
JavaFX 2

xM
BeagleBoard

dev. preview of 2012
with SoftFloat support

ARM v6, 700 MHz
★ 512 MB RAM
★ 2 x USB
★ ETHERNET RJ45
★ HDMI, COMPOSITE
★ GPIO, I2C, UART, SPI
★

JDK 8
JavaFX 8

Pi
Raspberry

weekly dev. preview
with HardFloat support

Macbook Pro

BeagleBoard xM

Intel i7 Quadcore
2.3 GHz

ARM A8
1 Ghz

16 GB ram

512 MB ram

Nvidia GeForce
GT 650m

Power VR
SGX series 5

Macbook Pro

BeagleBoard xM

Nvidia GeForce
GT 650m

Power VR
SGX series 5

384 Cores
★ ~15 GPixel/s
★ ~600 GFlops
★

1 Core
★ ~500 MPixel/s
★ ~1.6 GFlops
★

Requirements
★

touchable user interface

★

reasonable controls

★

no mouse and keyboard

★

restriced screen estate

60 cm

50 mm

FROM MOBILE

90 mm

34 cm

and learn

The Scene Graph
Root
Node

Branch

Leaf

Branch

Branch

Leaf

Leaf

Leaf

Branch

The Scene Graph
Each node is about 5-7 kb
★ Desktop could handle up to
100000 nodes
★ Embedded devices can
handle up to 1000 nodes !!!
★

CONTENT

COMPROMISE 1

3 Nodes

33 Nodes

CONTENT

COMPROMISE 2

3 Nodes

16 Nodes

Things to avoid
huge amount of nodes
★ intense use of animations
★ intense use of effects
★ many overlapping nodes
★ memory intense operations
★

The average family car of today has significantly more computing power than got the first astronauts to the moon and back. Modern cars contain more and more computers to monitor and control every aspect of driving, from anti-lock brakes to engine management to satellite navigation. This session will look at how Java can (and is) used in cars to add more data collection. This will cover a project that was written to collect a variety of data from a car whilst driving (including video) and then play it back later so driving style and performance could be evaluated. There will be plenty of demonstrations. Session at the IndicThreads.com Confence held in Pune, India on 27-28 Feb 2015 http://www.indicthreads.com http://pune15.indicthreads.com

PT-4142, Porting and Optimizing OpenMP applications to APU using CAPS tools, ...

AMD Developer Central

MM-4085, Designing a game audio engine for HSA, by Laurent Betbeder

AMD Developer Central

Keynote (Johan Andersson) - Mantle for Developers - by Johan Andersson, Techn...

AMD Developer Central

PT-4058, Measuring and Optimizing Performance of Cluster and Private Cloud Ap...

AMD Developer Central

IS-4081, Rabbit: Reinventing Video Chat, by Philippe Clavel

AMD Developer Central

Presented at JAX London 2013 The Raspberry Pi has caused a huge wave of interest amongst developers, providing an ARM powered single board computer running a full Linux distro off an SD card and all for only $35! After an introduction to the Raspberry Pi and the ARM architecture, this session will look at how Java can be used on a device like this. Oracle have released an early access preview of JDK8 including JavaFX and a version of Java ME Embedded (3.3) tuned specifically for the Raspberry Pi.

PT-4053, Advanced OpenCL - Debugging and Profiling Using AMD CodeXL, by Uri S...

AMD Developer Central

Java Device I/O at Raspberry PI to Build a Candy Vending Machine

Jeff Prestes

Final lisa opening_keynote_draft_-_v12.1tb

r Skip

MM-4105, Realtime 4K HDR Decoding with GPU ACES, by Gary Demos

AMD Developer Central

Interfacing the Raspberry Pi to the World

Omer Kilic

Node-RED and Minecraft - CamJam September 2015

Boris Adryan

This workshop uses the Node-RED framework as development tool for JavaScript. Building on functionality available for generic programming challenges, we’re going to use the communication standard TCP (Transmission Control Protocol) to interact with the Minecraft API (Application Programming Interface). The material is aimed at people who have had first experience with the Minecraft API on a Raspberry Pi (say, using Python), who now want to understand what's going on behind the scenes and what TCP, API and all those other acronyms mean. It also introduces flow-based programming concepts.

An introduction to workflow-based programming with Node-RED

Boris Adryan

Raspberry Pi and Amateur Radio

Kevin Hooke

CC-4001, Aparapi and HSA: Easing the developer path to APU/GPU accelerated Ja...

AMD Developer Central

GS-4136, Optimizing Game Development using AMD’s GPU PerfStudio 2, by Gordon ...

AMD Developer Central

Using GPUs to handle Big Data with Java by Adam Roberts.

J On The Beach

Modern graphics processing units (GPUs) are efficient general-purpose stream processors. Learn how Java can exploit the power of GPUs to optimize high-performance enterprise and technical computing applications such as big data and analytics workloads. This presentation covers principles and considerations for GPU programming from Java and looks at the software stack and developer tools available. It also presents a demo showing GPU acceleration and discusses what is coming in the future.

GS-4150, Bullet 3 OpenCL Rigid Body Simulation, by Erwin Coumans

AMD Developer Central

"An Update on Open Standard APIs for Vision Processing," a Presentation from ...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2015-member-meeting-khronos For more information about embedded vision, please visit: http://www.embedded-vision.com Neil Trevett, President of Khronos and Vice President at NVIDIA, delivers the presentation, "Update on Khronos Open Standard APIs for Vision Processing," at the December 2015 Embedded Vision Alliance Member Meeting. Trevett provides an update on recent developments in multiple Khronos standards useful for vision applications.

MM-4104, Smart Sharpen using OpenCL in Adobe Photoshop CC – Challenges and Ac...

AMD Developer Central

IoT evolution

Yoss Cohen

Node-RED workshop at IoT Toulouse

Boris Adryan

PL-4044, OpenACC on AMD APUs and GPUs with the PGI Accelerator Compilers, by ...

AMD Developer Central

IoT consideration selection

Yoss Cohen

Introduction To Raspberry Pi with Simple GPIO pin Control

Pradip Bhandari

Porting games from ps3 or web to shield and ouya [final]

Jean-Philippe Doiron

This session shows the ins and outs of developing on micro-consoles like the OUYA and the GameStick, or handheld devices like the NVIDIA SHIELD. Learn how we tailored a PS3 game by using Unreal so it ran well on micro-consoles, bypassing their limitations. Also, see how we enhanced a Stage3D game using AIR to show off the SHIELD's power by leveraging its strengths. Finally, learn about peer-to-peer multiplayer options to link players across game consoles, mobile and Web. Reach beyond the limitations to create an awesome game! Takeaway First, attendees will be shown how to develop micro-console and handheld titles in an efficient manner. Then, they will learn about the differences between the platforms, including performance and capabilities, in order to leverage their power. Finally, they will discover some techniques for multiplayer integration through cases studies.

Hacking with ARM Mobile devices on Linux

Netwalker lab kapper

What's hot

Do You Like Coffee with Your dessert? Java and the Raspberry Pi - Simon Ritte...

jaxLondonConference

PT-4053, Advanced OpenCL - Debugging and Profiling Using AMD CodeXL, by Uri S...

AMD Developer Central

Java Device I/O at Raspberry PI to Build a Candy Vending Machine

Jeff Prestes

Final lisa opening_keynote_draft_-_v12.1tb

r Skip

MM-4105, Realtime 4K HDR Decoding with GPU ACES, by Gary Demos

AMD Developer Central

Interfacing the Raspberry Pi to the World

Omer Kilic

Node-RED and Minecraft - CamJam September 2015

Boris Adryan

An introduction to workflow-based programming with Node-RED

Boris Adryan

Raspberry Pi and Amateur Radio

Kevin Hooke

CC-4001, Aparapi and HSA: Easing the developer path to APU/GPU accelerated Ja...

AMD Developer Central

GS-4136, Optimizing Game Development using AMD’s GPU PerfStudio 2, by Gordon ...

AMD Developer Central

Using GPUs to handle Big Data with Java by Adam Roberts.

J On The Beach

GS-4150, Bullet 3 OpenCL Rigid Body Simulation, by Erwin Coumans

AMD Developer Central

"An Update on Open Standard APIs for Vision Processing," a Presentation from ...

Edge AI and Vision Alliance

MM-4104, Smart Sharpen using OpenCL in Adobe Photoshop CC – Challenges and Ac...

AMD Developer Central

IoT evolution

Yoss Cohen

Node-RED workshop at IoT Toulouse

Boris Adryan

PL-4044, OpenACC on AMD APUs and GPUs with the PGI Accelerator Compilers, by ...

AMD Developer Central

IoT consideration selection

Yoss Cohen

Introduction To Raspberry Pi with Simple GPIO pin Control

Pradip Bhandari

What's hot (20)

Do You Like Coffee with Your dessert? Java and the Raspberry Pi - Simon Ritte...

PT-4053, Advanced OpenCL - Debugging and Profiling Using AMD CodeXL, by Uri S...

Java Device I/O at Raspberry PI to Build a Candy Vending Machine

Final lisa opening_keynote_draft_-_v12.1tb

MM-4105, Realtime 4K HDR Decoding with GPU ACES, by Gary Demos

Interfacing the Raspberry Pi to the World

Node-RED and Minecraft - CamJam September 2015

An introduction to workflow-based programming with Node-RED

Raspberry Pi and Amateur Radio

CC-4001, Aparapi and HSA: Easing the developer path to APU/GPU accelerated Ja...

GS-4136, Optimizing Game Development using AMD’s GPU PerfStudio 2, by Gordon ...

Using GPUs to handle Big Data with Java by Adam Roberts.

GS-4150, Bullet 3 OpenCL Rigid Body Simulation, by Erwin Coumans

"An Update on Open Standard APIs for Vision Processing," a Presentation from ...

MM-4104, Smart Sharpen using OpenCL in Adobe Photoshop CC – Challenges and Ac...

IoT evolution

Node-RED workshop at IoT Toulouse

PL-4044, OpenACC on AMD APUs and GPUs with the PGI Accelerator Compilers, by ...

IoT consideration selection

Introduction To Raspberry Pi with Simple GPIO pin Control

Similar to Java fx on raspberry pi gerrit grunwald

Porting games from ps3 or web to shield and ouya [final]

Jean-Philippe Doiron

Hacking with ARM Mobile devices on Linux

Netwalker lab kapper

High performance json- postgre sql vs. mongodb

Wei Shan Ang

LMG Lightning Talks - SFO17-205

Linaro

Session ID: SFO17-205 Session Name: LMG Lightning Talks - SFO17-205 Speaker: Sam Protsenko - Amit Pundir - Bero Rosenkränzer Track: LMG ★ Session Summary ★ An update of various LMG activities since last Connect, including: - LLCT efforts - Arm64 Hibernate backport effort - learnings - uBoot upstreaming learnings - Zstd compression effort - Native aarch64 hosted builds for Android --------------------------------------------------- ★ Resources ★ Event Page: http://connect.linaro.org/resource/sfo17/sfo17-205/ Presentation: ? Video: https://www.youtube.com/watch?v=Zv7Uo2QXK4E --------------------------------------------------- ★ Event Details ★ Linaro Connect San Francisco 2017 (SFO17) 25-29 September 2017 Hyatt Regency San Francisco Airport --------------------------------------------------- Keyword: 'http://www.linaro.org' 'http://connect.linaro.org' --------------------------------------------------- Follow us on Social Media https://www.facebook.com/LinaroOrg https://twitter.com/linaroorg https://www.youtube.com/user/linaroorg?sub_confirmation=1 https://www.linkedin.com/company/1026961

Power Mac G5 ( Late 2005) Technical Specifications

Social Media Marketing

Power Mac G5 ( Late 2005) Technical SpecificationsAutomotive Social Media Marketing Reputation Management

0xdroid osdc-2010-100426084937-phpapp02

chon2010

Functional MCU programming #0: Development environmentKiwamu Okabe

Vpu technology &gpgpu computingArka Ghosh

The next generation of GPU APIs for Game Engines

Pooya Eimandar

Computer systems

dheelan2995

Panda board

Kiranmoy Misra

Vpu technology &gpgpu computingArka Ghosh

Rapid IoT prototyping with mruby

雅也山本

High Performance Scaling Techniques in Golang Using Go Assembly

Minio

Embedded Graphics Drivers in Mesa (ELCE 2019)

Igalia

By Neil Roberts. Users of mobile platforms are expecting more and more complex graphics on their devices. This means that taking advantage of the mobile GPUs efficiently is essential. A large part of this efficiency is dependent on the user-space drivers. Unfortunately being in user-space means that many GPU providers can get away with only providing a closed-source driver which hides a lot of the secrets needed to be efficient. This talk presents a project providing an open-source alternative including support for embedded platforms. Mesa is the standard open-source user-space library providing an implementation of the OpenGL, GLES and Vulkan APIs on Linux platforms. It has drivers for a range of different hardware. This talk will present the project, the user-space graphics stack and the inner workings of Mesa. It will then continue to present the embedded drivers that it supports such as Freedreno for the Adreno platform, Panfrost for Mali Midgard and Bifrost GPUs and the drivers for Broadcom GPUs. (c) Open Source Summit + Embedded Linux Conference Europe 2019 October 28 - 30, 2019 Citi Centre de Congrès de Lyon (Lyon Convention Centre) Lyon, France

meetPHP#8 - PHP startups prototypes

Max Małecki

Quick spec HP Zbook.pdf

tonkung6

Similar to Java fx on raspberry pi gerrit grunwald (20)

Porting games from ps3 or web to shield and ouya [final]

Hacking with ARM Mobile devices on Linux

High performance json- postgre sql vs. mongodb

LMG Lightning Talks - SFO17-205

Power Mac G5 ( Late 2005) Technical Specifications

0xdroid osdc-2010-100426084937-phpapp02

Functional MCU programming #0: Development environment

Vpu technology &gpgpu computing

The next generation of GPU APIs for Game Engines

Computer systems

Panda board

Vpu technology &gpgpu computing

Rapid IoT prototyping with mruby

High Performance Scaling Techniques in Golang Using Go Assembly

Embedded Graphics Drivers in Mesa (ELCE 2019)

meetPHP#8 - PHP startups prototypes

Quick spec HP Zbook.pdf

More from NLJUG

The future of Web-Scale - Johan Tillema, Rene Boere & Chris Quach

Java fx on raspberry pi gerrit grunwald

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Java fx on raspberry pi gerrit grunwald

Similar to Java fx on raspberry pi gerrit grunwald (20)

More from NLJUG

More from NLJUG (20)

Recently uploaded

Recently uploaded (20)

Java fx on raspberry pi gerrit grunwald