Cubieboard 2 Review Cubieboard 2 Is the Cubieboard 2 the Raspberry Pi Killer It Is Positioned to Be? Review
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Cubietruck – Mini PC
SPRZĘT Cubietruck – mini PC Rynek komputerków jednopłytkowych opartych o procesory ARM zapoczątkowany przez Raspberry Pi rozwija się doskonale. Może nie jak grzyby po deszczu, ale systematycznie pojawiają się nowe rozwiązania: BeagleBoard, Marsboard, Cubieboard, Olinuxino itp. Różnią się one wyposażeniem, wydajnością, dostępnością dokumentacji oraz wsparciem technicznym. Ciekawie rozwija się propozycja Cubieboard. mocujących. Niby nic, ale te trzy kawałki two- org, zapoczątkowana płytką Cubieboard A10 rzywa i paczka tulejek umożliwiają poskładanie Fotografi a 3. Obudowa Cubietruck (opisaną w EP06/2013) i Cubieboard2 zgod- samodzielnego systemu mini-PC wyposażo- ną mechanicznie, ale zbudowaną w oparciu nego w dysk HDD 2,5”, wystarczająco zabez- rolę domowego centrum multimedialnego lub o nowszy, dwurdzeniowy procesor A20, zwięk- pieczając mechanicznie jego elementy. Osłony Linuxowego komputera PC. Jedyne zastrzeżenie szający wydajność Cubie i paletę jej zastosowań w odpowiednich miejscach mają wyfrezowane można mieć do kilku różnokolorowych LED, (fotografi a 1). Najnowsza propozycja to Cubie- otwory umożliwiające korzystanie z GPIO bez bezlitośnie informujących nasze oczy o stanie truck (Cubieboard3), oparty podobnie jak Cu- zdejmowania obudowy. pracy Cubie. bieboard2 (fotografi a 2) o procesor Allwinner Ciekawą propozycją dla osób wykorzy- Cubieboard3 oparty jest o SoC w architektu- A20, lecz mający znacznie bogatsze wyposaże- stujących Cubieboard3 w roli samodzielnego rze ARM7 – Allwinner A20, który w połączeniu nie, co niestety wiąże się z wyższą ceną. Porów- mini-PC, jest pełna obudowa pokazana na fo- ze sporej wielkości dyskiem NAND Flash oraz nanie parametrów poszczególnych komputer- tografi i 3. W swoim wnętrzu mieści swobodnie zwiększoną pamięcią RAM bezproblemowo ków Cubieboard umieszczono w tabeli 1. płytkę Cubieboard3, dysk HDD 2,5” (fotogra- sprawdza się w roli komputera PC pracującego Podobnie jak w przypadku poprzednich fi a 4) i przewody połączeniowe. -
Improving the Beaglebone Board with Embedded Ubuntu, Enhanced GPMC Driver and Python for Communication and Graphical Prototypes
Final Master Thesis Improving the BeagleBone board with embedded Ubuntu, enhanced GPMC driver and Python for communication and graphical prototypes By RUBÉN GONZÁLEZ MUÑOZ Directed by MANUEL M. DOMINGUEZ PUMAR FINAL MASTER THESIS 30 ECTS, JULY 2015, ELECTRICAL AND ELECTRONICS ENGINEERING Abstract Abstract BeagleBone is a low price, small size Linux embedded microcomputer with a full set of I/O pins and processing power for real-time applications, also expandable with cape pluggable boards. The current work has been focused on improving the performance of this board. In this case, the BeagleBone comes with a pre-installed Angstrom OS and with a cape board using a particular software “overlay” and applications. Due to a lack of support, this pre-installed OS has been replaced by Ubuntu. As a consequence, the cape software and applications need to be adapted. Another necessity that emerges from the stated changes is to improve the communications through a GPMC interface. The depicted driver has been built for the new system as well as synchronous variants, also developed and tested. Finally, a set of applications in Python using the cape functionalities has been developed. Some extra graphical features have been included as example. Contents Contents Abstract ..................................................................................................................................................................................... 5 List of figures ......................................................................................................................................................................... -
User Manual - S.USV Solutions Compatible with Raspberry Pi, up Board and Tinker Board Revision 2.2 | Date 07.06.2018
User Manual - S.USV solutions Compatible with Raspberry Pi, UP Board and Tinker Board Revision 2.2 | Date 07.06.2018 User Manual - S.USV solutions / Revision 2.0 Table of Contents 1 Functions .............................................................................................................................................. 3 2 Technical Specification ........................................................................................................................ 4 2.1 Overview ....................................................................................................................................... 5 2.2 Performance .................................................................................................................................. 6 2.3 Lighting Indicators ......................................................................................................................... 6 3 Installation Guide................................................................................................................................. 7 3.1 Hardware ...................................................................................................................................... 7 3.1.1 Commissioning S.USV ............................................................................................................ 7 3.1.2 Connecting the battery .......................................................................................................... 8 3.1.3 Connecting the external power supply ................................................................................. -
Suzanne's Microcluster Slides
csinparallel.org Microclusters for teaching PDC Suzanne J. Matthews (West Point) 1 csinparallel.org What is a Microcluster? • A personal, highly portable Beowulf cluster • Enables highly interactive and tactile experiential learning • Notable early examples: – Ultimate Linux Lunch Box (Ron Minnich and Mitch Williams, Sandia National Labs) – LittleFe (Charlie Peck, Earlham College) – Microwulf (Joel Adams, Calvin College) 2 csinparallel.org Single Board Computers (SBCs) 3 csinparallel.org Student Pi (West Point) Suzanne J. Matthews Raspberry Pi nodes - Prototype: Raspberry Pi B nodes - Initial: Raspberry Pi B+ nodes - Current: Raspberry Pi 2 nodes - 900 Mhz quad-core CPU, 1 GB of RAM, HDMI, USB, 10/100 Ethernet - Raspbian Linux June 2014 - ~$40 p/node - Materials: - http://suzannejmatthews.com/private/cluster.html October 2014 May 2016 4 csinparallel.org Student Parallella (West Point) Suzanne J. Matthews Parallella nodes - dual-core ARM A9 CPU, 16-core Epiphany co-processor, 1 GB of RAM, μHDMI, μUSB, Gigabit Ethernet - Linaro Linux - ~$145 p/node - Materials: - http://suzannejmatthews.com/private/cluster.html - http://suzannejmatthews.github.io/ October 2014 April 2016 January 2015 5 csinparallel.org Half ShoeBox Clusters (Centre College) David Toth Cubieboard/ODROID nodes (2-node clusters) - Prototype: Cubieboard2: dual-core ARM Cortex A7, 1 GB of RAM, HDMI, USB, 10/100 Ethernet - Latest: ODROID C2: 2Ghz quad-core A53, 2 GB of RAM, HDMI, USB, Gigabit Ethernet, - Android/Ubuntu Linux - ~ $150-$200 p/cluster - Materials: Early 2014 - http://web.centre.edu/david.toth/portablecluster/index.html -
A Highly Modular Router Microarchitecture for Networks-On-Chip
A Highly Modular Router Microarchitecture for Networks-on-Chip Item Type text; Electronic Dissertation Authors Wu, Wo-Tak Publisher The University of Arizona. Rights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author. Download date 01/10/2021 08:12:16 Link to Item http://hdl.handle.net/10150/631277 A HIGHLY MODULAR ROUTER MICROARCHITECTURE FOR NETWORKS-ON-CHIP by Wo-Tak Wu Copyright c Wo-Tak Wu 2019 A Dissertation Submitted to the Faculty of the DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING In Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY In the Graduate College THE UNIVERSITY OF ARIZONA 2019 THE UNIVERSITY OF ARIZONA GRADUATE COLLEGE As members of the Dissertation Committee, we certify that we have read the dissertation prepared by Wo-Tak Wu, titled A HIGHLY MODULAR ROUTER MICROARCHITECTURE FOR NETWORKS-ON-CHIP and recommend that it be accepted as fulfilling the dissertation requirement for the Degree of Doctor of Philosophy. Dr. Linda Powers --~-__:::::____ ---?---- _________ Date: August 7, 2018 Dr. Roman Lysecky Final approval and acceptance of this dissertation is contingent upon the candidate's submission of the final copies of the dissertation to the Graduate College. I hereby certify that I have read this dissertation prepared under my direction and recommend that it be accepted as fulfilling the dissertation requirement. _____(/2 __·...... ~"--------\;-~=--------- · __ Date: August 7, 2018 Dissertation Director: Dr. -
DFR0261 Dfrobot Datasheet
Cubieboard 2 Kit SKU:DFR0261 INTRODUCTION Cubieboard2 (ARM® Cortex™‐A7 Dual‐Core), a upgrade of current cubieboard, is ready to ship now. Cubieboard2 is based on Allwinner A20 SoC, small size , hacker friendly, extendable and very low‐cost.It is an alternative to the Raspberry Pi or pcDuino. Compare with Raspberry Pi, it has higher performance, SATA supported and 96 extended interface. Compared with cubieboard,just replacing one chip(well, the most important one),cubieboard2 are upgraded from a single core to a dual core and twice gpu performance, and even no change is needed on the PCB. So all the base boards, accessories that works with cubieboard will also fit in with cubieboard2. On the software side, cubieboard2 support both android 4.2 Jelly Bean, Ubuntu 12.04 and other Linux distributions. Android Jelly Bean improves on speed and simplicity and brings a lot of new feature. If you plan to assemble a small computer, you can try using this small ARM platform cubieboard. It supports Ubuntu and other Linux distributions; you could use it like an ordinary computer operation. At the same time, the platform also supports Android 4.0 Ice Cream Sandwich system and has bulit‐in IR sensor, can be used as "Android TV". SPECIFICATION CPU:ARM® Cortex™‐A7 Dual‐Core GPU:ARM® Mali400MP2, Complies with OpenGL ES 2.0/1.1 Memory:1GB DDR3 @960M Storage:4GB internal NAND flash, up to 64GB on uSD slot, up to 2T on 2.5 SATA disk Power:5VDC input 2A or USB otg input Networking:10/100 ethernet, optional wifi USB : Two USB 2.0 HOST, one USB 2.0 OTG Extended Interfaces: 96 extend pin interface, including I2C, SPI, RGB/LVDS, CSI/TS, FM‐IN, ADC, CVBS, VGA, SPDIF‐OUT, R‐TP, and more Other: One IR SHIPPING LIST Cubieboard 2 main board x1 DC to USB cable x1 SATA cable(data + power) x1 Cubieboard Case x1 Serial to USB cable x1 Powered By DFRobot © 2008-2017 . -
DM3730, DM3725 Digital Media Processors Datasheet (Rev. D)
DM3730, DM3725 www.ti.com SPRS685D–AUGUST 2010–REVISED JULY 2011 DM3730, DM3725 Digital Media Processors Check for Samples: DM3730, DM3725 1 DM3730, DM3725 Digital Media Processors 1.1 Features 123456 • DM3730/25 Digital Media Processors: • Load-Store Architecture With – Compatible with OMAP™ 3 Architecture Non-Aligned Support – ARM® Microprocessor (MPU) Subsystem • 64 32-Bit General-Purpose Registers • Up to 1-GHz ARM® Cortex™-A8 Core • Instruction Packing Reduces Code Size Also supports 300, 600, and 800-MHz • All Instructions Conditional operation • Additional C64x+TM Enhancements • NEON™ SIMD Coprocessor – Protected Mode Operation – High Performance Image, Video, Audio – Expectations Support for Error (IVA2.2TM) Accelerator Subsystem Detection and Program Redirection • Up to 800-MHz TMS320C64x+TM DSP Core – Hardware Support for Modulo Loop Also supports 260, 520, and 660-MHz Operation operation – C64x+TM L1/L2 Memory Architecture • Enhanced Direct Memory Access (EDMA) • 32K-Byte L1P Program RAM/Cache Controller (128 Independent Channels) (Direct Mapped) • Video Hardware Accelerators • 80K-Byte L1D Data RAM/Cache (2-Way – POWERVR SGX™ Graphics Accelerator Set- Associative) (DM3730 only) • 64K-Byte L2 Unified Mapped RAM/Cache • Tile Based Architecture Delivering up to (4- Way Set-Associative) 20 MPoly/sec • 32K-Byte L2 Shared SRAM and 16K-Byte • Universal Scalable Shader Engine: L2 ROM Multi-threaded Engine Incorporating Pixel – C64x+TM Instruction Set Features and Vertex Shader Functionality • Byte-Addressable (8-/16-/32-/64-Bit Data) -
IMX233-Olinuxino-MINI User's Manual
OLinuXino-MINI Open-source single-board Linux computer USER’S MANUAL Revision H, April 2015 Designed by OLIMEX Ltd, 2012 All boards produced by Olimex LTD are ROHS compliant OLIMEX© 2015 IMX233-OLinuXino-MINI user's manual DISCLAIMER © 2015 Olimex Ltd. Olimex®, logo and combinations thereof, are registered trademarks of Olimex Ltd. Other product names may be trademarks of others and the rights belong to their respective owners. The information in this document is provided in connection with Olimex products. No license, express or implied or otherwise, to any intellectual property right is granted by this document or in connection with the sale of Olimex products. The Hardware project is released under the Creative Commons Attribution-Share Alike 3.0 United States License. You may reproduce it for both your own personal use, and for commertial use. You will have to provide a link to the original creator of the project http://www.olimex.com on any documentation or website. You may also modify the files, but you must then release them as well under the same terms. Credit can be attributed through a link to the creator website: http://www.olimex.com The software is released under GPL. It is possible that the pictures in this manual differ from the latest revision of the board. The product described in this document is subject to continuous development and improvements. All particulars of the product and its use contained in this document are given by OLIMEX in good faith. However all warranties implied or expressed including but not limited to implied warranties of merchantability or fitness for purpose are excluded. -
Cubieboard Cubieboard2 Cubietruck Beaglebone Black
Raspberry Pi (Model B rev.2) Cubieboard Cubieboard2 Cubietruck Beaglebone Black 1 Ghz (OC) ARM® Cortex-A6 1 Ghz ARM® Cortex-A8 1 Ghz ARM® Cortex-A7 Dual Core 1 Ghz ARM® Cortex-A7 Dual Core 1 Ghz ARM® Cortex-A8 CPU ARM1176JZF-F Allwinner A10 C8096CA Allwinner A20 Allwinner A20 AM335x GPU/FPU VideoCore IV Mali-400 (CedarX, OpenGL) Mali-400MP2 (CedarX, OpenGL) Mali-400MP2 (CedarX, OpenGL) SGX350 3D / NEON FPU accelerator RAM 512 MB 1 GB DDR3 2 GB 2 GB 512 MB DDR3 Storage micro SD/SDHC 4 GB NAND Flash, micro SD/SDHC, SATA 4 GB NAND Flash, micro SD/SDHC, SATA 4 GB NAND Flash, micro SD/SDHC, SATA 2.0 2GB eMMC Power micro USB (5V/1A) 3.5 W DC 5v/2A DC 5v/2A DC 5v/2.5A DC 5V/500mA Video RCA Composite Video, HDMI 1.4 HDMI HDMI HDMI/VGA microHDMI Audio 3.5 mm Headphone Jack 3.5 mm Headphone Jack / Line In 3.5 mm Headphone Jack 3.5 mm Headphone Jack, SPDIF Network 10/100 Mbps 10/100 Mbps 10/100 Mbps 10/100/1000 Mbps, Wifi, Bluetooth 10/100 Mbps 2x46 PIN GPIO I/O ports 26 PIN GPIO, 2x Ribon 2x48 PIN GPIO, 4PIN Serial, 1IR 2x48 PIN GPIO, 4PIN Serial, 1IR 1x 54 PIN GPIO (Arduino Shield Compatible) USB ports 2x USB 2.0 2x USB 2.0 2x USB 2.0, 1 mini USB OTG 2x USB 2.0, 1 mini USB OTG 1x USB 2.0 Linux (Raspbian, Debian, Fedora, Arch, Gentoo, Kali), Andoid, Angstrom, Ubuntu, Fedora, Gentoo. -
Building a Datacenter with ARM Devices
Building a Datacenter with ARM Devices Taylor Chien1 1SUNY Polytechnic Institute ABSTRACT METHODS THE CASE CURRENT RESULTS The ARM CPU is becoming more prevalent as devices are shrinking and Physical Custom Enclosure Operating Systems become embedded in everything from medical devices to toasters. Build a fully operational environment out of commodity ARM devices using Designed in QCAD and laser cut on hardboard by Ponoko Multiple issues exist with both Armbian and Raspbian, including four However, Linux for ARM is still in the very early stages of release, with SBCs, Development Boards, or other ARM-based systems Design was originally only for the Raspberry Pis, Orange Pi Ones, Udoo critical issues that would prevent them from being used in a datacenter many different issues, challenges, and shortcomings. Have dedicated hard drives and power system for mass storage, including Quads, PINE64, and Cubieboard 3 multiple drives for GlusterFS operation, and an Archive disk for backups and Issue OS In order to test what level of service commodity ARM devices have, I Each device sits on a tray which can be slid in and out at will rarely-used storage Kernel and uboot are not linked together after a Armbian decided to build a small data center with these devices. This included Cable management and cooling are on the back for easy access Build a case for all of these devices that will protect them from short circuits version update building services usually found in large businesses, such as LDAP, DNS, Designed to be solid and not collapse under its own weight and dust Operating system always performs DHCP request Raspbian Mail, and certain web applications such as Roundcube webmail, Have devices hooked up to a UPS for power safety Design Flaws Allwinner CPUs crash randomly when under high Armbian ownCloud storage, and Drupal content management. -
ARM Based Customizing an Operating System for the Single Board System (Cubie-Truck)
International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611 ARM Based Customizing an Operating System for the Single Board System (Cubie-Truck) S. Karthik1, T. S. Murunya2 1PG Scholar, Prist University – Kumbakonam, India 2Assistant Professor, CSE, Prist University – Kumbakonam, India Abstract: In this paper the author going to present , The design and implementation of a CubieBoard Operating System (CBOS) on ARM (Advanced RISC Machine) platform in technical details, including boot loader design - UBOOT, building the Kernel - uImage, design of root file system and init process. The Single Board Computer Operating System (SBC OS) is developed on Linux platform with GNU tool chain. The system is mainly designed for the purpose of technical research and curriculum based teaching and students to learn, study and more readable, of which the source codes can be provided to students, guiding them to design tiny operating system on ARM platform from scratch. Keywords: Single board computer, UBOOT, ARM, UImage, Cubieboard, Monolithic Kernel, Init Process 1. Introduction A. Introduction about Cubietruck and Monolithic kernel structure In our current electronic market there is many single board Cubieboard is a single-board computer, made in china. The system computer are available, but in the other side, Cubieboard team managed to run an Apache Hadoop developing Operating System for that single board system is Computer cluster using the Lubuntu GNU/Linux playing the major role in the electronic market. The author distribution. It's a new PCB model adopted with Allwinner of this paper is going to design the Operating System to the A20 main chip, just like Cubieboard2. -
Ten (Or So) Small Computers
Ten (or so) Small Computers by Jon "maddog" Hall Executive Director Linux International and President, Project Cauã 1 of 50 Copyright Linux International 2015 Who Am I? • Half Electrical Engineer, Half Business, Half Computer Software • In the computer industry since 1969 – Mainframes 5 years – Unix since 1980 – Linux since 1994 • Companies (mostly large): Aetna Life and Casualty, Bell Labs, Digital Equipment Corporation, SGI, IBM, Linaro • Programmer, Systems Administrator, Systems Engineer, Product Manager, Technical Marketing Manager, University Educator, Author, Businessperson, Consultant • Taught OS design and compiler design • Extremely large systems to extremely small ones • Pragmatic • Vendor and a customer Warnings: • This is an overview guide! • Study specifications of each processor at manufacturer's site to make sure it meets your needs • Prices not normally listed because they are all over the map...shop wisely Definitions • Microcontroller vs Microprocessor • CPU vs “Core” • System On a Chip (SoC) • Hard vs Soft Realtime • GPIO Pins – Digital – Analog • Printed Circuit Board (PCB) • Shield, Cape, etc. • Breadboard – Patch cables Definitions (Cont.) • Disks – IDE – SATA – e-SATA • Graphical Processing Unit (GPU) • Field Programmable Gate Array (FPGA) • Digital Signal Processing Chips (DSP) • Unless otherwise specified, all microprocessors are ARM-32 bit Still More Definitions! • Circuit Diagrams • Surface Mount Technology – large robots – Through board holes in PCBs – Surface mount • CAD Files – PCB layout – “Gerbers” for