DOCSLIB.ORG

Netbsd Work-In-Progress

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Netbsd Work-In-Progress NetBSD Work-in-Progress Taylor `Riastradh' Campbell [email protected] AsiaBSDcon 2015 Tokyo, Japan March 15, 2015 I NetBSD 7: The graphics release I NetBSD 7: The ARM SoC release I NetBSD 7: The RC4-free release NetBSD 7 Coming soon to a mirror near you! (Next month?) I NetBSD 7: The ARM SoC release I NetBSD 7: The RC4-free release NetBSD 7 Coming soon to a mirror near you! I NetBSD 7: The graphics release (Next month?) I NetBSD 7: The RC4-free release NetBSD 7 Coming soon to a mirror near you! I NetBSD 7: The graphics release I NetBSD 7: The ARM SoC release (Next month?) NetBSD 7 Coming soon to a mirror near you! I NetBSD 7: The graphics release I NetBSD 7: The ARM SoC release I NetBSD 7: The RC4-free release (Next month?) I Intel, up through Haswell I Radeon I (Nouveau wedges halfway through boot | workin' on it!) Graphics I DRM/KMS: Kernel graphics drivers from Linux 3.15 I Radeon I (Nouveau wedges halfway through boot | workin' on it!) Graphics I DRM/KMS: Kernel graphics drivers from Linux 3.15 I Intel, up through Haswell I (Nouveau wedges halfway through boot | workin' on it!) Graphics I DRM/KMS: Kernel graphics drivers from Linux 3.15 I Intel, up through Haswell I Radeon Graphics I DRM/KMS: Kernel graphics drivers from Linux 3.15 I Intel, up through Haswell I Radeon I (Nouveau wedges halfway through boot | workin' on it!) I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I ARM SoCs: I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I . and wonderful architecture names like earmv7hf (earmuffs?). ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON ARM I Multiprocessor ARM! I ARM SoCs: I Raspberry Pi I . and Raspberry Pi 2 I TI OMAP, Sitara: Beagleboard, Beaglebone, BB Black I Allwinner A10, A20, A31: Cubieboard, Cubietruck I Marvell Armada 370: Mirabox I Freescale i.MX50, i.MX51, i.MX6: KOBO, Netwalker I Xilinx Zynq: Parallela, ZEDBOARD I . and more than I can remember. I EABI (and OABI compat) I Hard-float with VFP and NEON I . and wonderful architecture names like earmv7hf (earmuffs?). I Clang/LLVM on x86, PowerPC, ARM I Fully BSD-licensed C/C++ runtime from compiler rt, libc++, libcxxrt Toolchain I GCC 4.8, including C++11 I Fully BSD-licensed C/C++ runtime from compiler rt, libc++, libcxxrt Toolchain I GCC 4.8, including C++11 I Clang/LLVM on x86, PowerPC, ARM Toolchain I GCC 4.8, including C++11 I Clang/LLVM on x86, PowerPC, ARM I Fully BSD-licensed C/C++ runtime from compiler rt, libc++, libcxxrt I Major improvements to npf, the scalable NetBSD Packet Filter, since its preliminary release in NetBSD 6 I npf now uses JIT-compiled bpf programs for filtering decisions I Multiprocessor USB stack Miscellaneous 1 I bpf just-in-time native-code compiler I npf now uses JIT-compiled bpf programs for filtering decisions I Multiprocessor USB stack Miscellaneous 1 I bpf just-in-time native-code compiler I Major improvements to npf, the scalable NetBSD Packet Filter, since its preliminary release in NetBSD 6 I Multiprocessor USB stack Miscellaneous 1 I bpf just-in-time native-code compiler I Major improvements to npf, the scalable NetBSD Packet Filter, since its preliminary release in NetBSD 6 I npf now uses JIT-compiled bpf programs for filtering decisions Miscellaneous 1 I bpf just-in-time native-code compiler I Major improvements to npf, the scalable NetBSD Packet Filter, since its preliminary release in NetBSD 6 I npf now uses JIT-compiled bpf programs for filtering decisions I Multiprocessor USB stack I Constant-time comparison and guaranteed zeroing for crypto: consttime memequal, explicit memset. I No more RC4! arc4random now uses ChaCha20. I DTrace on ARM, profiler probes and more I Many other improvements, new and improved drivers, updated third-party code. Miscellaneous 2 I New port: epoc32 I No more RC4! arc4random now uses ChaCha20. I DTrace on ARM, profiler probes and more I Many other improvements, new and improved drivers, updated third-party code. Miscellaneous 2 I New port: epoc32 I Constant-time comparison and guaranteed zeroing for crypto: consttime memequal, explicit memset. I DTrace on ARM, profiler probes and more I Many other improvements, new and improved drivers, updated third-party code.
Load more

Recommended publications
  • 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.
    [Show full text]
  • Development Boards This Product Is Rohs Compliant
    Development Boards This product is RoHS compliant. PANDABOARD DEVELOPMENT PLATFORM Features: • Core Logic: OMAP4460 applications Processor • Interface: (1) General Purpose Expansion Header • Wireless Connectivity: 802.11 b/g/n (WiLink™ 6.0) • Memory: 1GB DDR2 RAM (I2C, GPMC, USB, MMC, DSS, ETM) • Debug options: JTAG, UART/RS-232, 1 GPIO button NTL • Full Size SD/MMC card port • Camera Expansion Header • Graphics APIs: OpenGL ES v2.0, OpenGL ES v1.1, • 10/100 Ethernet • Display Connectors: HDMI v1.3, DVI-D. LCD Expansion OpenVGv1.1, and EGL v1.3 • USB: (1) USB 2.0 OTG port, (2) USB 2.0 High-speed port • Audio Connectors: 3.5" In/Out, HDMI audio out For quantities greater than listed, call for quote. MOUSER Pandaboard Price Description STOCK NO. Part No. Each 595-PANDABOARD UEVM4430G-01-00-00 Pandaboard ARM Cortex-A9 MPCore 1GHz OMAP4430 SoC Platform 179.00 595-PANDABOARD-ES UEVM4460G-02-01-00 Pandaboard ARM Cortex-A9 MPCore 1GHz OMAP4460 SoC Platform 185.00 Embedded Modules Embedded BEAGLEBOARD SOC PLATFORMS BeagleBoard.org develops low-cost, fan-less single-board computers based on low-power Texas Instruments processors featuring the ARM Cortex-A8 core with all of the expandability of today's desktop machines, but without the bulk, expense, or noise. BeagleBoard.org provides an open source development platform for A B the creation of high-performance embedded designs. Beagleboard C4 Features: Beagleboard xM Features: Beaglebone Features: • Over 1,200 Dhrystone MIPS using the superscalar • Over 2,000 Dhrystone MIPS using the Super-scalar
    [Show full text]
  • 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 .........................................................................................................................................................................
    [Show full text]
  • 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
    [Show full text]
  • 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 .
    [Show full text]
  • Openbricks Embedded Linux Framework - User Manual I
    OpenBricks Embedded Linux Framework - User Manual i OpenBricks Embedded Linux Framework - User Manual OpenBricks Embedded Linux Framework - User Manual ii Contents 1 OpenBricks Introduction 1 1.1 What is it ?......................................................1 1.2 Who is it for ?.....................................................1 1.3 Which hardware is supported ?............................................1 1.4 What does the software offer ?............................................1 1.5 Who’s using it ?....................................................1 2 List of supported features 2 2.1 Key Features.....................................................2 2.2 Applicative Toolkits..................................................2 2.3 Graphic Extensions..................................................2 2.4 Video Extensions...................................................3 2.5 Audio Extensions...................................................3 2.6 Media Players.....................................................3 2.7 Key Audio/Video Profiles...............................................3 2.8 Networking Features.................................................3 2.9 Supported Filesystems................................................4 2.10 Toolchain Features..................................................4 3 OpenBricks Supported Platforms 5 3.1 Supported Hardware Architectures..........................................5 3.2 Available Platforms..................................................5 3.3 Certified Platforms..................................................7
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • WLAN Hacking Workshop
    WLAN Hacking Workshop Oz Krakowski – [email protected] Luciano Coelho – [email protected] Agenda What is “OpenLink™”? Workshop intro Board setup Getting WLAN to work on BeagleBoard The OpenLink Challenge Wrap-up – Demo – Ubuntu – Prizes – What’s next What is “OpenLink™”? An open source initiative Wireless connectivity technologies – Wi-Fi™ – Bluetooth® – FM – Roadmap: • Bluetooth Low Energy • ANT • Zigbee® • NFC What is “OpenLink™”? Open link drivers available today Part of mainline Linux kernel Easily attach to open source development platform such as BeagleBoard and PandaBoard What is “OpenLink™”? Website – OpenLink.org – Community – News – Projects – Support – Platforms – Resources … And more to come… Workshop Outline Short hands-on demo Learn how to connect to an AP from the CLI Your chance to get your own BeagleBoard with a WLAN daughter card! Board Setup Pre-requisite: minicom (or another terminal app) Insert the micro-SD card Connect the USB-serial adapter Connect the USB cable (power supply) Serial Console Start minicom – minicom -s -o • /dev/ttyUSB0 • 115200 8N1 • No HW/SW flow control Log in to the serial console • user: root • pwd: rootguri BeagleBoard boot basics Two-phase boot – X-Loader (MLO) – u-boot.bin • Environment setup • Kernel parameters Kernel – Mainline-based (2.6.39-rc1) – One patch for the WLAN daughtercard Connecting to an open Access Point Set your own MAC address ifconfig wlan0 hw ether 08:00:28:00:00:<number> ifconfig wlan0 up Using the iw tool to scan iw wlan0 scan Connecting to an open AP iw wlan0 connect
    [Show full text]
  • Raspberry Pi Computer Vision Programming – Second Edition Programming – Second Edition
    Raspberry Pi Computer Vision Pajankar Ashwin Edition Second – Programming Vision Computer Pi Raspberry Programming – Second Edition Raspberry Pi is one of the popular on Raspberry Pi, before covering major Raspberry Pi single-board computers of our generation. techniques and algorithms in image All the major image processing and computer processing, manipulation, and computer vision algorithms and operations can be vision. By sequentially working through the implemented easily with OpenCV on steps in each chapter, you'll understand Computer Vision Raspberry Pi. This updated second edition is essential OpenCV features. Later sections packed with cutting-edge examples and new will take you through creating graphical user topics, and covers the latest versions of key interface (GUI) apps with GPIO and OpenCV. technologies such as Python 3, Raspberry Pi, You'll also learn how to use the new computer Programming and OpenCV. This book will equip you with vision library, Mahotas, to perform various the skills required to successfully design and image processing operations. Finally, you'll implement your own OpenCV, Raspberry Pi, explore the Jupyter notebook and how to and Python-based computer vision projects. set up a Windows computer and Ubuntu for computer vision. Second Edition At the start, you'll learn the basics of Python 3, and the fundamentals of single-board By the end of this book, you'll be able to computers and NumPy. Next, you'll discover confi dently build and deploy computer how to install OpenCV 4 for Python 3 vision apps. Design
    [Show full text]
  • A $35 Firewall for the Developing World
    RC25442 (IRE1401-011) January 20, 2014 Computer Science IBM Research Report A $35 Firewall for the Developing World Zubair Nabi IBM Research Smarter Cities Technology Centre Mulhuddart Dublin 15, Ireland Research Division Almaden – Austin – Beijing – Cambridge – Dublin - Haifa – India – Melbourne - T.J. Watson – Tokyo - Zurich LIMITED DISTRIBUTION NOTICE: This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). Many reports are available at http://domino.watson.ibm.com/library/CyberDig.nsf/home. A $35 Firewall for the Developing World Zubair Nabi IBM Research, Dublin [email protected] ABSTRACT countries [20]. In addition, maturity in the Internet A number of recent efforts aim to bridge the global digital ecosystem has resulted in a higher standard of life [20]. divide, particularly with respect to Internet access. We take In the same vein, Internet access coupled with social this endeavor one step further and argue that Internet access media has become a catalyst for social, cultural, and and web security go hand in glove in the developing world. political activism and change [32, 35, 33, 36]. While the To remedy the situation, we explore whether low-cost plat- Internet has been declared a basic human right [29], in forms, such as Raspberry Pi ($35) and Cubieboard ($59), reality more than two-thirds of the world population| can be used to implement security mechanisms.
    [Show full text]