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September 4, 2017 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Linux 4.13 Release – Main Changes, ARM & MIPS Architectures

Linus Torvalds has just announced the release of Linux 4.13 and a kidney stone…: So last week was actually somewhat eventful, but not enough to push me to delay 4.13. Most of the changes since rc7 are actually networking fixes, the bulk of them to various drivers. With apologies to the authors of said patches, they don’t look all that interesting (which is definitely exactly what you want just before a release). Details in the appended shortlog. Note that the shortlog below is obviously only since rc7 – the _full_4.13 log is much too big to post and nobody sane would read it. So if you’re interested in all the rest of it, get the git tree and limit the logs to the files you are interested in if you crave details. No, the excitement was largely in the mmu notification layer, where we had a fairly last-minute regression and […]

August 30, 2017August 30, 2017 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

The Stress Terminal UI (s-tui) is a Pretty CPU and Temperature Monitoring Terminal App

While it’s possible to do monitoring with tools like RPI-Monitor on headless or remote systems, top and htop are likely the commonly used tools to monitor CPU and process usage in the terminal. There’s now a new and different option with the Stress Terminal UI that display pretty charts for frequency, CPU usage, and temperature in the terminal, and as its name implies it can also stress the system. I’ve first installed it in my main computer running Ubuntu 16.04.2 as follows:

sudo pip install s-tui

1	sudo pip install s-tui

and then just started it

s-tui

s-tui

It took the screenshot above after enabling stress operation for a few seconds, and while frequency and CPU utilization in percent are updated properly, temperature is not, at least on my system. I had to enable “Smooth Graph” option to see any changes in the first two charts. I tried to run the app again with sudo, but still no temperature […]

August 27, 2017June 18, 2018 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Embedded Linux Conference & Open Source Summit Europe 2017 Schedule

The Embedded Linux Conference & IoT summit 2017 took place in the US earlier this year in February, but there will soon be a similar event with the Embedded Linux Conference *& Open Source Summit Europe 2017 to take up in Europe on October 23 – 25 in Prague, Czech Republic, and the Linux Foundation has just published the schedule. It’s always useful to find out what is being discussed during such events, even if you are not going to attend, so I went through the different sessions, and compose my own virtual schedule with some of the ones I find the most interesting. Monday, October 23 11:15 – 11:55 – An Introduction to SPI-NOR Subsystem – Vignesh Raghavendra, Texas Instruments India Modern day embedded systems have dedicated SPI controllers to support NOR flashes. They have many hardware level features to increase the ease and efficiency of accessing SPI NOR […]

August 14, 2017August 14, 2017 by Jean-Luc Aufranc (CNXSoft) - 33 Comments

Fedora 26 Supports Single “Unified” OS Images for Multiple ARM Platforms

The decision to use device tree in Linux occurred several years ago, after Linus Torvalds complained that Linux on ARM was a mess, with the ultimate goal of providing a unified ARM kernel for all hardware. Most machine specific board files in arch/arm/mach-xxx/ are now gone from the Linux kernel, being replaced by device tree files, and in many case you simply need to replace the DTB (Device Tree Binary) file from an operating system to run on different hardware platforms. However, this is not always that easy as U-boot still often differ between boards / devices, so it’s quite frequent to distribute different firmware / OS images per board. Fedora has taken another approach, as the developers are instead distributing a single Fedora 26 OS ARMv7 image, together with an installation script. Images for 64-bit ARM (Aarch64) are a little different since they are designed for SBSA compliant servers, so […]

August 9, 2017August 9, 2017 by Jean-Luc Aufranc (CNXSoft) - 16 Comments

Movidius Neural Compute Stick Shown to Boost Deep Learning Performance by about 3 Times on Raspberry Pi 3 Board

Intel recently launched Movidius Neural Compute Stick (MvNCS)for low power USB based deep learning applications such as object recognition, and after some initial confusions, we could confirm the Neural stick could also be used on ARM based platforms such as the Raspberry Pi 3. Kochi Nakamura, who wrote the code for GPU accelerated object recognition on the Raspberry Pi 3 board, got hold of one sample in order to compare the performance between GPU and MvNCS acceleration. His first attempt was quite confusing as with GoogLeNet, Raspberry Pi 3 + MvNCS achieved an average inference time of about 560ms, against 320 ms while using VideoCore IV GPU in RPi3 board. But then it was discovered that the “stream_infer.py” demo would only use one core out of the 12 VLIW 128-bit vector SHAVE processors in Intel’s Movidius Myriad 2 VPU, and after enabling all those 12 cores instead of just one, […]

August 7, 2017 by Jean-Luc Aufranc (CNXSoft) - 36 Comments

How ARM Nerfed NEON Permute Instructions in ARMv8

This is a guest post by blu about an issue he found with a specific instruction in ARMv8 NEON. He previously wrote an article about OpenGL ES development on Ubuntu Touch, and one or two other posts. This is not a happy-ending story. But as with most unhappy-ending stories, this is a story with certain moral for the reader. So read on if you appreciate a good moral. Once upon a time there was a very well-devised SIMD instruction set. Its name was NEON, or formally — ARM Advanced SIMD — ASIMD for short (most people still called it NEON). It was so nice, that veteran coders versed in multiple SIMD ISAs often wished other SIMD ISAs were more like NEON. NEON had originated as part of the larger ARM ISA version 7, or ARMv7, for short. After much success in the mobile and embedded domains, ARMv7 was superseded by […]

August 4, 2017August 4, 2017 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Mediatek MT2625 NB-IoT SoC is Designed for Cellular IoT Devices working Worldwide

Mediatek has recently unveiled MT2625 SoC based on an ARM Cortex-M core, equipped with an NB-IoT “WorldMode” modem allowing for a single design worldwide, and supporting the latest 3GPP Release 14 (LTE Cat NB2) specification. Mediatek MT2625 specifications: CPU – ARM Cortex-M @ up to 104 MHz with FPU Embedded Memory – 4MB PSRAM Storage – 4MB NOR Flash Connectivity NB-IoT compatible with 3GPP Release 14 Full frequency band (450MHz to 2.1GHz) of 3GPP R13 (NB1) and R14 (NB2) standards Integrated baseband, RF, and modem DSP Peripherals – I2C, I2S, PCM, SDIO, UART Power Supply – Integrated PMU The solution will be found in products for worldwide transportation, municipal use, and consumer products, with a much longer battery life compared to existing devices relying on other 2G/3G/4G standards. According to the press release, one of the first module based on MT2625 has been designed in collaboration with China Mobile, integrates […]

August 2, 2017August 2, 2017 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

Intel’s Movidius Neural Compute Stick Supports Raspberry Pi 3 Board

Last month, Intel introduced Movidius Neural Computer Stick to accelerate applications such as object recognition, and do so offline, i.e. without the cloud, and at low power. While there was not that much information available at the time, the minimal requirements for the host machine were that it had to be a x86_64 computer running Ubuntu 16.04, and come with at least 1GB RAM, and 4GB storage. So I understood the stick would only work attached with 64-bit Intel or AMD processors, and ARM development boards would not be an option. But today, I’ve found that Movidius had uploaded a new video showing a Python based object recognition demo with the Neural Compute Stick connected to the the Raspberry Pi 3 board. You just need to add a USB camera, copy ncapi directory from the SDK installed on your Ubuntu 16.04 development machine to the Debian Jessie installed on RPi 3 […]