Banana Pi BPI-M2 Ultra Allwinner R40 Quad Core Single Board Computer
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Setting up Odroid C2 – Throughtput Testing
Throughput Testing Single-Board Computer for Wireless LAN Professionals Setting up Odroid C2 As Test End-Point Inventory Project Items Unpack and knoll the following items ❑ Impact Strong 5200 mAh USB Battery o And it has a flashlight as well! ❑ USB Micro Power Cable (comes with Battery) ❑ Micro SD Card to eMCC adapter (Blueish green) ❑ eMCC Memory Card (small with Red label) ❑ Transcend USB 3.0 SD Card Reader ❑ Odroid Wi-Fi 4 NIC – (Black) ❑ USB ‘U-bend’ Adaper (Black ❑ Odroid C2 – Single Board Computer ❑ #WLPC_EU USB Drive (has the Image) ❑ Odroid Case Kit (Black) Later we will have you use as part of the testing (not in your own kit) • Small Phillips Screwdriver (to assemble your case) • Short Ethernet Cable (to test your unit when attached to a switch port) ❑ If you are running Windows copy the Win32DiskImager-0.9.5-binary executable as well. If you are running Windows follow the Windows directions, if Mac OS – move to the Mac OS directions. Mac OS Version Configure Image ❑ Copy Image File from the #WLPC_EU USB drive (in the Odroid for #WLPC_EU folder) to your Desktop… the file name is DietPi_v133_OdroidC2-arm64- (WLAN_PRO) ❑ Open Image File – Boot Drive ❑ Should have a Folder Call “Boot” ❑ Find the dietpi.txt We are changing setting so your Odroid device can join a local SSID and download more files we’ll need. ❑ Under the Wi-Fi Details section change the Wi-Fi SSID to WLPC_EU-01 with a PSK of password. #Enter your Wifi details below, if applicable (Case Sensitive). Wifi_SSID=WLPC_EU-01 Wifi_KEY=password ❑ Under WiFi Hotspot Settings, -
Monitoring Dan Kontrol Sistem Irigasi Berbasis Iot Menggunakan Banana Pi
JURNAL TEKNIK ITS Vol. 7, No. 2, (2018) ISSN: 2337-3539 (2301-9271 Print) A288 Monitoring dan Kontrol Sistem Irigasi Berbasis IoT Menggunakan Banana Pi Andrie Wijaya, dan Muhammad Rivai Departemen Teknik Elektro, Fakultas Teknologi Elektro, Institut Teknologi Sepuluh Nopember (ITS) e-mail: [email protected] Abstrak— Saat ini metode pengaliran air atau irigasi dilakukan memperhatikan kondisi kelembaban tanah juga mengakibatkan secara manual. Petani harus menyiram tanaman satu persatu penggunaan air yang tidak tepat. Penggunaan air yang sehingga tidak efisien dalam hal energi, waktu, dan ketersediaan berlebihan akan mempengaruhi ketersediaan sumber air yang air sehingga dapat menurukan hasil panen. Internet of Things semakin menurun. merupakan konsep dan metode untuk kontrol jarak jauh, Tugas akhir ini bertujuan untuk menciptakan sistem monitoring, pengiriman data, dan berbagai tugas lainnya. IoT terhubung dengan suatu jaringan sehingga dapat di akses di irigasi berbasis internet of things [2][3], dan [4]. Pada sistem mana saja yang dapat mempermudah berbagai hal. IoT dapat ini petani dapat memonitoring kondisi kelembaban tanah dan dimanfaatkan di berbagai bidang, salah satunya adalah bidang mengkontrol debit air yang akan disiram pada tanaman pertanian. Pada bidang ini IoT dapat digunakan untuk memantau Sehingga meningkatkan hasil panen dan mengoptimalkan dan mengatur berbagai hal untuk menunjang pertanian. Pada penggunaan air. penelitian ini akan dibuat suatu peralatan yang digunakan untuk Sistem ini menggunakan sensor kelembaban tanah atau monitoring dan kontrol sistem irigasi berbasis IOT. Single Board higrometer [5][6]yang akan di proses di Single Board Computer Banana Pi digunakan sebagai prosesor utama yang Computer (SBC) Banana Pi [7]. SBC yang terhubung dengan terhubung dengan jaringan internet yang mengirim data dari sensor ke pengguna. -
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. -
Jumpstarting the Onion Omega2
Jumpstarting the Onion Omega2 An Introduction to a New Low-Cost Internet of Things Computer WOLFRAM DONAT JUMPSTARTING the Onion Omega2 AN INTRODUCTION TO A NEW LOW-COST INTERNET OF THINGS COMPUTER Wolfram Donat Maker Media, Inc. San Francisco Copyright © 2018 Wolfram Donat. All rights reserved. Published by Maker Media, Inc. 1700 Montgomery Street, Suite 240 San Francisco, CA 94111 Maker Media books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (safari- booksonline.com). For more information, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Editorial Director: Roger Stewart Editor: Patrick DiJusto Copy Editor: Elizabeth Welch, Happenstance Type-O-Rama Proofreader: Scout Festa, Happenstance Type-O-Rama Cover and Interior Designer: Maureen Forys, Happenstance Type-O-Rama All the circuit and component diagrams in this book are created using Fritz- ing (http://fritzing.org/home). June 2018: First Edition Revision History for the First Edition 2018-06-18 First Release See oreilly.com/catalog/errata.csp?isbn=9781680455229 for release details. Make:, Maker Shed, and Maker Faire are registered trademarks of Maker Media, Inc. The Maker Media logo is a trademark of Maker Media, Inc. Jumpstarting the Onion Omega2 and related trade dress are trademarks of Maker Media, Inc. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and Maker Media, Inc. was aware of a trademark claim, the designations have been printed in caps or initial caps. While the publisher and the author have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the author disclaim all responsibility for errors or omis- sions, including without limitation responsibility for damages resulting from the use of or reliance on this work. -
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) -
Passmark - Android Device List
PassMark - Android Device List https://www.androidbenchmark.net/device_list.php AndroidTM Benchmarks Performance Comparison of Android Devices Below is an alphabetical list of all Android device types that appear in the charts. Clicking on a specific device name will take you to the charts where it appears in and will highlight it for you. PassMark Rating CPUMark Rating PassMark Rank Android Device Type Samples (higher is better) (higher is better) (lower is better) 4G R17S 1,572 4,088 1253 1 A-gold BV9500Plus 5,052 13,068 375 1 A-gold BV9800 4,450 11,400 487 1 A-gold F1 4,237 10,869 531 7 A-gold S3_Pro 4,392 11,219 504 2 A-gold Z2_PRO 4,406 11,246 499 1 A1 Alpha 20+ 4,753 12,266 435 1 Acer A3-A40 1,982 5,269 1082 1 Acer AO722 519 1,272 1725 1 1 z 62 2020-10-14, 12:02 PassMark - Android Device List https://www.androidbenchmark.net/device_list.php PassMark Rating CPUMark Rating PassMark Rank Android Device Type Samples (higher is better) (higher is better) (lower is better) AGM A10 2,030 8,521 1066 1 ALCATEL A574BL 497 1,202 1736 1 AlcatelOneTouch Alcatel_5044R 438 1,129 1759 1 Alco CT9223W97 1,214 3,111 1384 1 ALLDOCUBE M8 2,730 7,274 882 5 ALLDOCUBE T701 1,092 4,554 1437 1 ALLDOCUBE U1006H 1,902 4,931 1125 1 ALLVIEW P7_PRO 1,691 4,543 1210 1 ALLVIEW X4_Soul 2,536 6,938 925 1 Alps Acer One 8 T4-82L 2,539 6,526 924 1 Alps Tablet18T 1,201 3,043 1394 1 Alps tb8788p1_64_bsp 2,343 5,784 983 2 Amazon KFKAWI 712 1,701 1589 4 Amazon KFMAWI 2,306 5,640 992 19 Amazon KFONWI 1,082 2,588 1442 3 Amlogic A95X-A3 1,228 3,182 1381 1 Amlogic ABOX A4 397 -
Security Monitor for Mobile Devices: Design and Applications
UNIVERSITY OF CALIFORNIA, IRVINE Security Monitor for Mobile Devices: Design and Applications DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Computer Science by Saeed Mirzamohammadi Dissertation Committee: Professor Ardalan Amiri Sani, UCI, Chair Professor Gene Tsudik, UCI Professor Sharad Mehrotra, UCI Doctor Sharad Agarwal, MSR 2020 Portion of Chapter 1 c 2018 ACM, reprinted, with permission, from [148] Portion of Chapter 1 c 2017 ACM, reprinted, with permission, from [150] Portion of Chapter 1 c 2018 IEEE, reprinted, with permission, from [149] Portion of Chapter 1 c 2020 ACM, reprinted, with permission, from [151] Portion of Chapter 2 c 2018 ACM, reprinted, with permission, from [148] Portion of Chapter 2 c 2017 ACM, reprinted, with permission, from [150] Portion of Chapter 3 c 2018 ACM, reprinted, with permission, from [148] Portion of Chapter 4 c 2018 IEEE, reprinted, with permission, from [149] Portion of Chapter 5 c 2017 ACM, reprinted, with permission, from [150] Portion of Chapter 6 c 2020 ACM, reprinted, with permission, from [151] Portion of Chapter 7 c 2020 ACM, reprinted, with permission, from [151] Portion of Chapter 7 c 2017 ACM, reprinted, with permission, from [150] Portion of Chapter 7 c 2018 IEEE, reprinted, with permission, from [149] Portion of Chapter 7 c 2018 ACM, reprinted, with permission, from [148] All other materials c 2020 Saeed Mirzamohammadi TABLE OF CONTENTS Page LIST OF FIGURES v LIST OF TABLES vii ACKNOWLEDGMENTS viii VITA ix ABSTRACT OF THE DISSERTATION xi 1 Introduction 1 1.1 Applications of the security monitor . -
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. -
Passmark Android Benchmark Charts - CPU Rating
PassMark Android Benchmark Charts - CPU Rating http://www.androidbenchmark.net/cpumark_chart.html Home Software Hardware Benchmarks Services Store Support Forums About Us Home » Android Benchmarks » Device Charts CPU Benchmarks Video Card Benchmarks Hard Drive Benchmarks RAM PC Systems Android iOS / iPhone Android TM Benchmarks ----Select A Page ---- Performance Comparison of Android Devices Android Devices - CPUMark Rating How does your device compare? Add your device to our benchmark chart This chart compares the CPUMark Rating made using PerformanceTest Mobile benchmark with PerformanceTest Mobile ! results and is updated daily. Submitted baselines ratings are averaged to determine the CPU rating seen on the charts. This chart shows the CPUMark for various phones, smartphones and other Android devices. The higher the rating the better the performance. Find out which Android device is best for your hand held needs! Android CPU Mark Rating Updated 14th of July 2016 Samsung SM-N920V 166,976 Samsung SM-N920P 166,588 Samsung SM-G890A 166,237 Samsung SM-G928V 164,894 Samsung Galaxy S6 Edge (Various Models) 164,146 Samsung SM-G930F 162,994 Samsung SM-N920T 162,504 Lemobile Le X620 159,530 Samsung SM-N920W8 159,160 Samsung SM-G930T 157,472 Samsung SM-G930V 157,097 Samsung SM-G935P 156,823 Samsung SM-G930A 155,820 Samsung SM-G935F 153,636 Samsung SM-G935T 152,845 Xiaomi MI 5 150,923 LG H850 150,642 Samsung Galaxy S6 (Various Models) 150,316 Samsung SM-G935A 147,826 Samsung SM-G891A 145,095 HTC HTC_M10h 144,729 Samsung SM-G928F 144,576 Samsung