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AMD Opteron A1100 Server SoCs Feature 4 to 8 ARM Cortex A57 Cores

A few months ago, AMD published a roadmap showing AMD “Seattle” Server CPUs based on ARMv8 64-bit architecture were planned for H2 Q2014. The company has now announced the first series of processors that will be based on ARM Cortex A57: AMD Opteron A1100 Series, as well as the corresponding development platform at the Open Compute Project Summit in San Jose, California. Key features of AMD Opteron A1100 Series processors: 4 or 8 core ARM Corte-A57 processors Up to 4 MB of shared L2 and 8 MB of shared L3 cache Configurable dual DDR3 or DDR4 memory channels with ECC at up to 1866 MT/second Up to 4 SODIMM, UDIMM or RDIMMs 8x lanes of PCI-Express Gen 3 I/O 8x Serial ATA 3 ports 2x 10 Gigabit Ethernet ports ARM TrustZone technology for enhanced security Crypto and data compression co-processors On the software side, the company mentionned it is a […]

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How to Install XBMC on D-Link Boxee Box

D-Link Boxee Box is a Linux based media player powered by Intel Atom CE4100 processor that became available in 2010, and features a dual sided  RF remote / QWERTY keyboard that probably inspired many of the air mouse that are available today. The box features many of the ports and connectors that are available on most Android STB today, namely an HDMI port, an optical S/PDIF) out, a stereo analog audio out, Ethernet and 802.11n Wi-Fi, two USB ports, and an SD card slot. Many people however got disappointed with the firmware at launch time, and even if subsequent firmware updates have improved the user experience, some people have considered it was worth the effort to port XBMC to the device. Myles McNamara wrote the instructions to install XBMC on D-Link Boxee Box. I’ll summarize the steps below, and it appears to be relatively easy. Installing Boxee+Hacks to gain root […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
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Getting Started with Raxda Rock – How to Generate and Flash Ubuntu Saucy Server and Desktop Images

I’ve already written a guide showing how to build and install Android in Radxa Rock. Today I’m going to build the Linux kernel, generate a Ubuntu server images based latest Ubuntu Linaro server release, flash the image to the NAND flash, and show how to install LXDE or XFCE desktop environment. If you are just interested in installing one of the latest supported images, you can download Android, dual boot (Android/Ubuntu), Ubuntu ALIP, and Router images for Radxa Rock @ http://dl.radxa.com/rock/images/, and skip “build” and “generate” instructions, and just follow the flashing instructions below. All steps in this tutorial will be done in Ubuntu 13.10, and lots of the instructions below follow hwswbits blog and Ubuntu Radxa Wiki. Build the Linux kernel Let’s start by building the Linux kernel. I’m assuming you’ve already install development tools in Ubuntu (e.g. apt-get install build-essentials). You can refer to the list at the beginning […]

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ARM Unveils Cortex-M Prototyping System Based on Altera Cyclone V FPGA

Before micro-controllers or processors are manufactured, simulation is performed in (usually) expensive boards based on FPGA chips from Altera or Xilinx, and once designers have found the system to work as expected, they can move to the next phase and work on the actual silicon. ARM has just released V2M-MPS2 Cortex-M Prototyping System for MCU / SoC / ASIC designers working on Cortex-M processors. Key features: Altera Cyclone V FPGA with ~150K LE 4x 2MB ZBTRAM (32-bit each, with two of them forming a 64-bit memory). ZBT = Zero Bus Latency 16MB PSRAM (16-bit) Touch screen LCD module Range of hardware interfaces – UART, VGA (4 bit per color), SPI, audio (I2S), Ethernet, LEDs, buttons I/O expansion ports (GPIO) FPGA images for Cortex-M processors Example project for Cortex-M0 DesignStart (processor IP has to be licensed separately) USB connection for downloading FPGA images and program image to micro SD card on board […]

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AXONIM Devices Announces AXSY-SoM-SAMA5D3 System-on-Module Powered by Atmel SAMA5D3x Cortex-A5 Processor

AXONIM Devices, a company based in the republic of Belarus, announced AXSY-SoM-SAMA5D3 System on Module (SOM) powered by Atmel SAMA5D3x Cortex-A5 processor. This SoM targets industrial applications and supports low power application such as POS-terminals, handheld devices, medical devices and more. Here are AXSY-SoM-SAMA5D3x SOM specifications: SoC – Atmel ATSAMA5D3x ARM Cortex-A5 processors @ 536 MHz (SAMA5D31, SAMA5D33, SAMA5D34, SAMA5D35, or SAMA5D36) System memory – 128/256/512 MB DDR2 Storage – 256MB/512MB/1GB NAND, 1 to 8MB SPI Flash Interfaces: 6x UARTs, 3x I2C, 2x SSC (for I2S Audio CODECs), 2x SPI, 2x CAN 2.0B 1x USB OTG 2.0 High Speed, 3x USB 2.0 High Speed Host 1x 10/100/1G Ethernet (Gigabit PHY on board), 1x 10/100 Ethernet (with IEEE1588v2 support) 1x Memory BUS (EBI) LCD 24 bpp TTL 3x MMC/SD 4x PWM 1x RTC 1x SMD (SmartHSFe Modem Device) – Conexant CX20548 with SmartDAA technology support Power supply – 3.3V / 5V […]

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The Open Source Robots Invasion Has Begun: BeagleMiP, uARM, and PiddyBot

In the last few days, I’ve come across three affordable open source robots either based on BeagleBone Black, or Arduino compatible boards, and I’m sure there are many other projects out there for people interested in getting started with robotics without breaking the bank. BeagleMiP Self-balancing Robot I’ve found out the first robots from a long armdevices.net video showing two Mobile Inverted Pendulum (MiP) robots, able to stand on two wheels, designed by the Coordinated Robotics Lab of The University of California, San Diego: BeagleMiP educational robotics development kit from Strawson Design. The kit features the BeagleBone Black board with Texas Instruments Sitara ARM Cortex A8 processor and Novus Robotics Cape, an add-on board that provides 9-axis IMU (Accelerometer, Gyro, Magnetometer), 6 PWM connectors to power servos or brushless ESCs, 2 user-accessible buttons and 2 LEDs, a cell balancer & overvoltage protector, H-bridges to drive 6 DC Motors, and connectors […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025
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Intel “Bay Trail” NUC (Next Unit of Computing) mini PC is Now Available for $140

Next Unit of Computing (NUC) is a small form factor PC designed by Intel featuring “low power” Intel CPUs. It has gone through different iteration starting with Sandy Bridge Celeron CPU, then Ivy Bridge Core i3 and Core i5 processors in the second generation, with the third generation using the Haswell architecture. Intel latest model called Intel DN2820FYK NUC is based on “Bay Trail” Celeron N2820 dual-core processor @ 2.4 GHz with 7.5W TDP, and is now available for $140 on Amazon. Intel DN2820FYK NUC specifications: Processor – Intel Celeron N2820 dual core processor @ up to 2.4GHz dual-core with 1MB cache, 7.5W TDP Memory – 1x DDR3L SODIMM 1.35V, 1333/1600 MHz (down clocked to 1066 MHz), 8GB maximum Storage – Internal support for 2.5¨ HDD or SSD Graphics – Intel HD Graphics @ up to 756MHz Video Output – 1x HDMI 1.4a Audio I/O – Up to 7.1 surround audio […]

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ARM Mali GPU Demos at CES 2014 – 4K 3D UI and Games, ASTC Texture Compression, XBMC + Gesture Recognition, and HEVC Video Decoding

Phill Smith, Demo Manager at ARM, has filmed and uploaded four very interesting demos of what new features will be possible thanks to new generation ARM Mali-450 and Mali-T6xx GPUs including 4K 3D user interfaces and games, ASTC texture compression, and OpenCL accelerated gesture recognition and HEVC / H.265 video decoding. 4K Resolution 3D User Interface and Game Demo The first demo showcases a Geniatech box (ATV1800?) powered by AMLogic AML8726-M8 featuring an ARM Mali-450MP6 GPU running Android with a user 4K 3D interface designed by Autodesk using Scaleform UI. The rest of the video shows Timbuku 3D gaming demo running at 3840×2160 (4K2K) @ 24 fps. The frame rate appears to be low, but that’s because the box is using HDMI 1.4, which limits UHD output to 24fps. 2160p60 is only available via HDMI 2.0. ASTC Compression Demo on Samsung Galaxy Note 3 3D Textures are getting bigger and […]

Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications