Ubuntu Core was ported to the Bubblegum-96 board. Key steps included creating a kernel snap with the customized Linux kernel and AppArmor patches, a gadget snap containing boot files, and an OS snap. The ubuntu-image tool was used to build an Ubuntu Core image with these snaps that could be flashed to the board to run Ubuntu Core applications in a secure, remotely upgradeable way. A demo of a 3D printing management system running on multiple Bubblegum-96 boards with Ubuntu Core was shown.
In the quest for making FPGA technology more accessible to the software community, Xilinx recently released PYNQ, a framework for Zynq that relies on Python and overlays to ease the integration of functionalities of the programmable logic into applications. In this work, we build upon this framework to enable transparent hardware acceleration for scientific computations for Zynq. We do so by providing a custom NumPy library designed for PYNQ, as it is the de-facto most used library within Data Science applications written in Python. We then demonstrate the effectiveness of the proposed approach with a use case on audio signal alignment.
GPU profiling for computer vision applicationsMai Nishimura
NVIDIA provides several tools for profiling GPU performance of computer vision applications, including nvprof, nvvp, and the next-generation Nsight Compute and Nsight Systems. Nvprof allows command-line profiling with different modes, while nvvp provides a GUI interface for visualizing profiling results. These tools help analyze kernel performance, identify bottlenecks like compute or memory limitations, and optimize applications. Tensorflow also includes a timeline tool for profiling graph execution.
This document discusses chainer-trt, which integrates Chainer and NVIDIA TensorRT to optimize neural networks for GPU acceleration. Key points:
- Chainer-trt converts Chainer models to TensorRT engines to run inference with optimizations like FP16 and INT8 precision.
- Benchmarks show TensorRT optimizations significantly speed up popular models like VGG16, GoogLeNet and ResNet50 compared to baseline Chainer FP32.
- Future work includes supporting tools like Menoh and ONNX to integrate additional frameworks with TensorRT optimizations.
NSC #2 - D2 01 - Andrea Allievi - Windows 8.1 Patch ProtectionsNoSuchCon
This document discusses defeating Windows 8.1's Kernel Patch Protection. It begins with introductions and definitions. It then explains how Patchguard and driver signing enforcement work in Windows 8.1, providing more protection than previous versions. The implementation of Kernel Patch Protection is described, including how it initializes, verifies the kernel, and crashes the system if modifications are detected. Previous methods of attacking Patchguard are reviewed, noting they have all been defeated in the latest version. The document aims to provide information to understand and potentially find new ways of attacking Patchguard.
The MYC-CZU3EG CPU Module is a powerful MPSoC System-on-Module (SoM) based on Xilinx Zynq UltraScale+ ZU3EG which features a 1.2 GHz quad-core ARM Cortex-A53 64-bit application processor
This document discusses QGATE, a quantum circuit simulator that can accelerate simulations using GPUs. QGATE uses several techniques to optimize simulations, including gate cancellation, dynamic qubit grouping, and operator reordering. Gate cancellation removes redundant gates, dynamic qubit grouping reduces the number of variables needed for state vectors when qubits are not entangled, and operator reordering maximizes the effects of dynamic qubit grouping by rearranging gates and measurements. These optimizations aim to improve simulation performance by reducing calculation amounts. Benchmark results show QGATE achieves up to a 220x speedup over CPU simulations for a circuit with 30 qubits and 10 Hadamard gates on each qubit.
This technical paper has collected and summarized some frequently asked questions (FAQs) by MYIR's engineers on development based on NXP's i.MX 6UL/6ULL ARM Cortex-A7 processors. Hope it can help developers during their work.
In the quest for making FPGA technology more accessible to the software community, Xilinx recently released PYNQ, a framework for Zynq that relies on Python and overlays to ease the integration of functionalities of the programmable logic into applications. In this work, we build upon this framework to enable transparent hardware acceleration for scientific computations for Zynq. We do so by providing a custom NumPy library designed for PYNQ, as it is the de-facto most used library within Data Science applications written in Python. We then demonstrate the effectiveness of the proposed approach with a use case on audio signal alignment.
GPU profiling for computer vision applicationsMai Nishimura
NVIDIA provides several tools for profiling GPU performance of computer vision applications, including nvprof, nvvp, and the next-generation Nsight Compute and Nsight Systems. Nvprof allows command-line profiling with different modes, while nvvp provides a GUI interface for visualizing profiling results. These tools help analyze kernel performance, identify bottlenecks like compute or memory limitations, and optimize applications. Tensorflow also includes a timeline tool for profiling graph execution.
This document discusses chainer-trt, which integrates Chainer and NVIDIA TensorRT to optimize neural networks for GPU acceleration. Key points:
- Chainer-trt converts Chainer models to TensorRT engines to run inference with optimizations like FP16 and INT8 precision.
- Benchmarks show TensorRT optimizations significantly speed up popular models like VGG16, GoogLeNet and ResNet50 compared to baseline Chainer FP32.
- Future work includes supporting tools like Menoh and ONNX to integrate additional frameworks with TensorRT optimizations.
NSC #2 - D2 01 - Andrea Allievi - Windows 8.1 Patch ProtectionsNoSuchCon
This document discusses defeating Windows 8.1's Kernel Patch Protection. It begins with introductions and definitions. It then explains how Patchguard and driver signing enforcement work in Windows 8.1, providing more protection than previous versions. The implementation of Kernel Patch Protection is described, including how it initializes, verifies the kernel, and crashes the system if modifications are detected. Previous methods of attacking Patchguard are reviewed, noting they have all been defeated in the latest version. The document aims to provide information to understand and potentially find new ways of attacking Patchguard.
The MYC-CZU3EG CPU Module is a powerful MPSoC System-on-Module (SoM) based on Xilinx Zynq UltraScale+ ZU3EG which features a 1.2 GHz quad-core ARM Cortex-A53 64-bit application processor
This document discusses QGATE, a quantum circuit simulator that can accelerate simulations using GPUs. QGATE uses several techniques to optimize simulations, including gate cancellation, dynamic qubit grouping, and operator reordering. Gate cancellation removes redundant gates, dynamic qubit grouping reduces the number of variables needed for state vectors when qubits are not entangled, and operator reordering maximizes the effects of dynamic qubit grouping by rearranging gates and measurements. These optimizations aim to improve simulation performance by reducing calculation amounts. Benchmark results show QGATE achieves up to a 220x speedup over CPU simulations for a circuit with 30 qubits and 10 Hadamard gates on each qubit.
This technical paper has collected and summarized some frequently asked questions (FAQs) by MYIR's engineers on development based on NXP's i.MX 6UL/6ULL ARM Cortex-A7 processors. Hope it can help developers during their work.
The document provides information on the HPE ProLiant DL20 Gen10 Server, including:
- It is a 1U rack server powered by Intel Xeon E, Pentium, and Core i3 processors, offering flexibility and value.
- Standard features include Intel C242 chipset, up to 64GB memory, 1Gb Ethernet ports, and various storage options.
- It comes in various pre-configured models for entry, performance, and solution workloads.
Investigation report on 64 bit support in Android Open Source Projecthidenorly
AOSP is working to support 64bit world for Android. This is investigation report regarding 64 bit support in Android Open Source Project. You can know how 64bit Android works and what is 32bit only process as of now.
This document presents AMD's Ryzen PRO line of processors for commercial and enterprise users. It highlights key features of the Ryzen 7 PRO 1700, Ryzen 5 PRO 1600 and Ryzen 3 PRO 1300 including their core/thread counts, frequencies, cache sizes and TDPs. It also shows benchmark results demonstrating the Ryzen 7 PRO 1700 and Ryzen 5 PRO 1600 outperforming competing Intel Core i7 and Core i5 processors in various multi-threaded workloads by up to 116%. Additionally, it outlines the Ryzen PRO processors' security features, manageability and commercial support.
Enhance Technology is a leading manufacturer of storage solutions. It was founded in 1997 and designs and manufactures RAID storage arrays and enclosures. It offers various UltraStor enterprise storage array models including the RS8 and RS16 series which come in different configurations utilizing SAS, SATA, iSCSI, Fibre Channel and SCSI interfaces. The arrays provide features such as RAID 6, snapshots, and support volumes over 2TB.
The document discusses processes in Linux operating systems. It defines what a process is, including that a process includes the program code, variables, stack, heap, registers, and other OS resources needed by the program. It describes why processes are needed to achieve multi-processing and timesharing. It discusses process states, scheduling, and preemption in Linux. It provides examples of commands to view and manage processes like ps and top. It also covers process creation using fork(), exec(), and programming processes in Linux.
Overview of the BF609 dual-core Blackfin processor series covering main features including the Pipelined Vision Processor including the hardware and software development tools. By Analog Devices
Learn How to Develop Embedded System for ARM @ 2014.12.22 JuluOSDevJian-Hong Pan
This document provides an overview of how to configure GPIO pins on an STM32F4 microcontroller. It begins with the speaker's background and experience with ARM embedded systems. It then discusses the GPIO block of the STM32F4 chip and shows code from an example blinky project that initializes GPIO pins to blink LEDs. The document explains where the GPIO API definitions are located in the STM32F4 header files and library. It provides details on configuring GPIO pins for input or output modes. Finally, it summarizes the key GPIO registers used to configure the pin modes and states.
Investigation report on 64 bit support and some of new features in aosp masterhidenorly
This is an investigation report on Android 64bit support and coming new features, which are working in AOSP (Android Open Source Project) master branch.
MYC-Y6ULX CPU Module - NXP i.MX 6UL/6ULL System-on-ModuleLinda Zhang
This overview document gives a brief introduction of MYIR's MYC-Y6ULX CPU Module which is powered by NXP i.MX 6UltraLite / 6ULL processor based on the ARM Cortex-A7 architecture. It is ready to run Linux and delivers high performance with ultra-efficient power that targets Industry Control, Communications, HMI, Smart Healthcare and Internet of Things (IoT) applications. It carries out as many as peripheral signals and IOs through 1.0mm pitch 140-pin stamp hole expansion interface to allow customer’s extension for their next embedded design. The module can support industrial operating temperature range from -40 to +85 Celsius.
The document discusses using an STM32F407VGT6 microcontroller with 168MHz Cortex-M4 CPU, 1MB flash, and 192KB RAM. It provides instructions for downloading toolchains, firmware, and debugging software to interface with the microcontroller via an onboard ST-LINK/V2 debugger over USB or JTAG. The STM32F4 Discovery board is highlighted as a development platform for experimenting with the microcontroller.
Signals provide an asynchronous communication mechanism between processes in Linux. They are specified by numbers and can be sent and handled via functions like kill, signal, and sigaction. Common signals originate from the kernel on illegal operations or from other processes. Signal handlers are registered to handle signals and should perform minimal work. Upon exit, processes return an exit code indicating normal or abnormal termination.
UplinQ - ubuntu linux on the qualcomm® snapdragon™ 600 processorSatya Harish
This document summarizes the work done by Linaro, Qualcomm, and eInfochips to enable Ubuntu Linux on the Qualcomm Snapdragon 600 processor. It discusses the Linaro Ubuntu developer releases that provide multimedia hardware acceleration. It also describes eInfochips' video conferencing solution built on these releases using Gstreamer, SIP, and a QT5-based GUI to enable low-latency audio and video calls on Snapdragon devices.
The document discusses the Serial Peripheral Interface (SPI) driver framework in Linux. It describes the SPI protocol and components of the SPI framework, including the SPI master driver, SPI device driver, and SPI client drivers. It explains how the SPI core layer implements SPI bus transactions and how SPI client drivers interface with SPI devices to perform operations like reading and writing.
This document introduces Ubuntu Snap technology. It discusses that Snap is a new software package format that provides transactional updates, self-containment, and application confinement through security mechanisms. Snap packages can contain services, command line tools, or graphical applications and provide writable spaces for data and common areas between versions. The document also overviewed Snapcraft for developing Snaps and Ubuntu Core which uses all Snaps for an minimal and secure IoT focused Ubuntu distribution.
ARM Linux Booting Process
One must be wondering How this Embedded Devices come to life? What goes into this devices that will tune to users Commands. We are going to explain about Embedded Arm based devices in general as The ARM architecture is a widely used 32-bit RISC processor architecture. In fact, the ARM family accounts for about 75% of all 32-bit CPUs, and about 90% of all embedded 32-bit CPUs.
This document provides an overview of efforts to port Android 10 to inexpensive single board computers like the Orange Pi using only open source components. It discusses the requirements to use the latest Android version, a cheap board, only open source projects, and to have a working solution out of the box. The document outlines the project structure, including mainline kernel with patches, Mesa for graphics, and upstream HWComposer and audio HAL projects. It provides timeline details for graphics and video driver mainlining. Supported boards currently include Orange Pi PC, Plus2e and Raspberry Pi 4, with plans to expand support. Building instructions are provided.
First Steps Developing Embedded Applications using Heterogeneous Multi-core P...Toradex
Read our blog for the latest on demystifying the development of embedded systems using Heterogeneous Multicore Processing architecture powered SoCs! This might provide you with the jump start you need for your development. https://www.toradex.com/blog/first-steps-developing-embedded-applications-using-heterogeneous-multicore-processors
The document provides instructions for a lab on Snort and firewall rules. It describes:
1) Setting up the virtual environment and configuring networking on the CyberOps Workstation VM.
2) Explaining the differences between firewall and IDS rules while noting their similarities, such as both having matching and action components.
3) Having students run commands to start a malware server, use Snort to monitor traffic, and download a file from the server to trigger an alert, observing the alert in the Snort log.
Golang é uma linguagem fantástica para se desenvolver aplicações e um fator a ser explorado é o seu uso em dispositivos IoT. A linguagem já conta com diversas ferramentas de cross-compile, alguns pacotes experimentais de comunicação baixo nível e diversos projetos relacionados a hardware.
The IoT is becoming extremely popular keyword in the industries while there are many different interpretations or various definitions. However, one common requirement is that it requires many Sensor devices connected to Linux devices. The user space drivers for GPIO, I2C/SPI and UART sensors in the past were implemented separately from scratch delicately for each product. This will cause significant challenge of software engineering overhead while GPIO, I2C/SPI and UART sensors are dramatically increasing which have to be supported. The IoTDK is one of the library to provide portability of sensors' driver to solve the situation.
The talk will includes guide of IoTDK and 96Boards and tutorial of programing I2C and GPIO devices. Targeted audiences are who are interested in IoT sensors or who would like to move from Arduino and Raspberry Pi to modern ARM CPU effectively.
This presentation was delivered at LinuxCon Japan 2016 by Akira Tsukamoto.
NetBSD can run on Google Compute Engine virtual machines. To set this up, one must install the Google Cloud SDK and create a NetBSD disk image with the vioscsi driver. This disk image is uploaded to Google Cloud Storage and used to create a virtual machine instance on Google Compute Engine. When the instance boots, the boot messages can be viewed which show the virtual devices like virtio SCSI and network being initialized and the root file system mounting from the persistent disk.
The document discusses porting Linux to microcontrollers with low memory and storage. It describes how Linux can leverage the microcontroller development environment and avoid fragmentation by using the device tree to describe hardware instead of coding it directly into the kernel. The document recommends starting with a known Linux configuration like stm32_defconfig and using the Kconfig menuconfig tool to customize it for the specific microcontroller.
The document provides information on the HPE ProLiant DL20 Gen10 Server, including:
- It is a 1U rack server powered by Intel Xeon E, Pentium, and Core i3 processors, offering flexibility and value.
- Standard features include Intel C242 chipset, up to 64GB memory, 1Gb Ethernet ports, and various storage options.
- It comes in various pre-configured models for entry, performance, and solution workloads.
Investigation report on 64 bit support in Android Open Source Projecthidenorly
AOSP is working to support 64bit world for Android. This is investigation report regarding 64 bit support in Android Open Source Project. You can know how 64bit Android works and what is 32bit only process as of now.
This document presents AMD's Ryzen PRO line of processors for commercial and enterprise users. It highlights key features of the Ryzen 7 PRO 1700, Ryzen 5 PRO 1600 and Ryzen 3 PRO 1300 including their core/thread counts, frequencies, cache sizes and TDPs. It also shows benchmark results demonstrating the Ryzen 7 PRO 1700 and Ryzen 5 PRO 1600 outperforming competing Intel Core i7 and Core i5 processors in various multi-threaded workloads by up to 116%. Additionally, it outlines the Ryzen PRO processors' security features, manageability and commercial support.
Enhance Technology is a leading manufacturer of storage solutions. It was founded in 1997 and designs and manufactures RAID storage arrays and enclosures. It offers various UltraStor enterprise storage array models including the RS8 and RS16 series which come in different configurations utilizing SAS, SATA, iSCSI, Fibre Channel and SCSI interfaces. The arrays provide features such as RAID 6, snapshots, and support volumes over 2TB.
The document discusses processes in Linux operating systems. It defines what a process is, including that a process includes the program code, variables, stack, heap, registers, and other OS resources needed by the program. It describes why processes are needed to achieve multi-processing and timesharing. It discusses process states, scheduling, and preemption in Linux. It provides examples of commands to view and manage processes like ps and top. It also covers process creation using fork(), exec(), and programming processes in Linux.
Overview of the BF609 dual-core Blackfin processor series covering main features including the Pipelined Vision Processor including the hardware and software development tools. By Analog Devices
Learn How to Develop Embedded System for ARM @ 2014.12.22 JuluOSDevJian-Hong Pan
This document provides an overview of how to configure GPIO pins on an STM32F4 microcontroller. It begins with the speaker's background and experience with ARM embedded systems. It then discusses the GPIO block of the STM32F4 chip and shows code from an example blinky project that initializes GPIO pins to blink LEDs. The document explains where the GPIO API definitions are located in the STM32F4 header files and library. It provides details on configuring GPIO pins for input or output modes. Finally, it summarizes the key GPIO registers used to configure the pin modes and states.
Investigation report on 64 bit support and some of new features in aosp masterhidenorly
This is an investigation report on Android 64bit support and coming new features, which are working in AOSP (Android Open Source Project) master branch.
MYC-Y6ULX CPU Module - NXP i.MX 6UL/6ULL System-on-ModuleLinda Zhang
This overview document gives a brief introduction of MYIR's MYC-Y6ULX CPU Module which is powered by NXP i.MX 6UltraLite / 6ULL processor based on the ARM Cortex-A7 architecture. It is ready to run Linux and delivers high performance with ultra-efficient power that targets Industry Control, Communications, HMI, Smart Healthcare and Internet of Things (IoT) applications. It carries out as many as peripheral signals and IOs through 1.0mm pitch 140-pin stamp hole expansion interface to allow customer’s extension for their next embedded design. The module can support industrial operating temperature range from -40 to +85 Celsius.
The document discusses using an STM32F407VGT6 microcontroller with 168MHz Cortex-M4 CPU, 1MB flash, and 192KB RAM. It provides instructions for downloading toolchains, firmware, and debugging software to interface with the microcontroller via an onboard ST-LINK/V2 debugger over USB or JTAG. The STM32F4 Discovery board is highlighted as a development platform for experimenting with the microcontroller.
Signals provide an asynchronous communication mechanism between processes in Linux. They are specified by numbers and can be sent and handled via functions like kill, signal, and sigaction. Common signals originate from the kernel on illegal operations or from other processes. Signal handlers are registered to handle signals and should perform minimal work. Upon exit, processes return an exit code indicating normal or abnormal termination.
UplinQ - ubuntu linux on the qualcomm® snapdragon™ 600 processorSatya Harish
This document summarizes the work done by Linaro, Qualcomm, and eInfochips to enable Ubuntu Linux on the Qualcomm Snapdragon 600 processor. It discusses the Linaro Ubuntu developer releases that provide multimedia hardware acceleration. It also describes eInfochips' video conferencing solution built on these releases using Gstreamer, SIP, and a QT5-based GUI to enable low-latency audio and video calls on Snapdragon devices.
The document discusses the Serial Peripheral Interface (SPI) driver framework in Linux. It describes the SPI protocol and components of the SPI framework, including the SPI master driver, SPI device driver, and SPI client drivers. It explains how the SPI core layer implements SPI bus transactions and how SPI client drivers interface with SPI devices to perform operations like reading and writing.
This document introduces Ubuntu Snap technology. It discusses that Snap is a new software package format that provides transactional updates, self-containment, and application confinement through security mechanisms. Snap packages can contain services, command line tools, or graphical applications and provide writable spaces for data and common areas between versions. The document also overviewed Snapcraft for developing Snaps and Ubuntu Core which uses all Snaps for an minimal and secure IoT focused Ubuntu distribution.
ARM Linux Booting Process
One must be wondering How this Embedded Devices come to life? What goes into this devices that will tune to users Commands. We are going to explain about Embedded Arm based devices in general as The ARM architecture is a widely used 32-bit RISC processor architecture. In fact, the ARM family accounts for about 75% of all 32-bit CPUs, and about 90% of all embedded 32-bit CPUs.
This document provides an overview of efforts to port Android 10 to inexpensive single board computers like the Orange Pi using only open source components. It discusses the requirements to use the latest Android version, a cheap board, only open source projects, and to have a working solution out of the box. The document outlines the project structure, including mainline kernel with patches, Mesa for graphics, and upstream HWComposer and audio HAL projects. It provides timeline details for graphics and video driver mainlining. Supported boards currently include Orange Pi PC, Plus2e and Raspberry Pi 4, with plans to expand support. Building instructions are provided.
First Steps Developing Embedded Applications using Heterogeneous Multi-core P...Toradex
Read our blog for the latest on demystifying the development of embedded systems using Heterogeneous Multicore Processing architecture powered SoCs! This might provide you with the jump start you need for your development. https://www.toradex.com/blog/first-steps-developing-embedded-applications-using-heterogeneous-multicore-processors
The document provides instructions for a lab on Snort and firewall rules. It describes:
1) Setting up the virtual environment and configuring networking on the CyberOps Workstation VM.
2) Explaining the differences between firewall and IDS rules while noting their similarities, such as both having matching and action components.
3) Having students run commands to start a malware server, use Snort to monitor traffic, and download a file from the server to trigger an alert, observing the alert in the Snort log.
Golang é uma linguagem fantástica para se desenvolver aplicações e um fator a ser explorado é o seu uso em dispositivos IoT. A linguagem já conta com diversas ferramentas de cross-compile, alguns pacotes experimentais de comunicação baixo nível e diversos projetos relacionados a hardware.
The IoT is becoming extremely popular keyword in the industries while there are many different interpretations or various definitions. However, one common requirement is that it requires many Sensor devices connected to Linux devices. The user space drivers for GPIO, I2C/SPI and UART sensors in the past were implemented separately from scratch delicately for each product. This will cause significant challenge of software engineering overhead while GPIO, I2C/SPI and UART sensors are dramatically increasing which have to be supported. The IoTDK is one of the library to provide portability of sensors' driver to solve the situation.
The talk will includes guide of IoTDK and 96Boards and tutorial of programing I2C and GPIO devices. Targeted audiences are who are interested in IoT sensors or who would like to move from Arduino and Raspberry Pi to modern ARM CPU effectively.
This presentation was delivered at LinuxCon Japan 2016 by Akira Tsukamoto.
NetBSD can run on Google Compute Engine virtual machines. To set this up, one must install the Google Cloud SDK and create a NetBSD disk image with the vioscsi driver. This disk image is uploaded to Google Cloud Storage and used to create a virtual machine instance on Google Compute Engine. When the instance boots, the boot messages can be viewed which show the virtual devices like virtio SCSI and network being initialized and the root file system mounting from the persistent disk.
The document discusses porting Linux to microcontrollers with low memory and storage. It describes how Linux can leverage the microcontroller development environment and avoid fragmentation by using the device tree to describe hardware instead of coding it directly into the kernel. The document recommends starting with a known Linux configuration like stm32_defconfig and using the Kconfig menuconfig tool to customize it for the specific microcontroller.
Improving User Experience with Ubiquitous QuickBootICS
In this webinar, we will introduce QuickBoot and show how it can solve slow cold boot times. You will: • Learn the difference from other fast boot techniques on Linux or Android devices. • Get technical details of QuickBoot. • See a demonstration of a real-world embedded application illustrating the boot time performance.
Hardware for deep learning includes CPUs, GPUs, FPGAs, and ASICs. CPUs are general purpose but support deep learning through instructions like AVX-512 and libraries. GPUs like NVIDIA and AMD models are commonly used due to high parallelism and memory bandwidth. FPGAs offer high efficiency but require specialized programming. ASICs like Google's TPU are customized for deep learning and provide high performance but limited flexibility. Emerging hardware aims to improve efficiency and better match neural network computations.
Developing Applications for Beagle Bone Black, Raspberry Pi and SoC Single Bo...ryancox
This document discusses using Go to build applications for ARM-based single board computers like Raspberry Pi and BeagleBone. It provides an overview of the ARM architecture and popular boards, as well as how Go's toolchain supports cross-compilation to ARM. Libraries like embd for interacting with hardware are introduced. Examples of IoT projects built on these boards running Go code are also mentioned.
This document provides instructions for using a 3-axis CNC/stepper motor shield for Arduino. It uses GRBL open-source firmware to control up to 4 stepper motors. The shield supports 4-axis control and includes end stops and coolant enable. It requires A4988 compatible stepper drivers. The document explains how to configure microstepping, install the GRBL firmware, connect stepper motors, and use Universal G-Code Sender to send commands to control the motors. It recommends using A4988 stepper motor drivers and includes pulleys, couplers, and other accessories for CNC projects.
Fedora 15 "Lovelock" introduces several new features for desktop users, developers, and system administrators. For desktop users, it features GNOME 3.0, Btrfs filesystem, improved power management, LibreOffice, and Tryton business applications. Developers will benefit from tools like BoxGrinder for appliance generation, GCC 4.6 improvements, Maven 3, Python 3.2, and Rails 3. System administrators gain consistent network device naming, a dynamic firewall, and improved compression for live images using the xz algorithm. Alternative desktop environments and applications are available in different Fedora Spins.
RISC-V growth and successes in technology and industry - embedded world 2021RISC-V International
RISC-V International has more than 1,000 members across over 50 countries who are working in hardware, software, services, and various industries for a strong and healthy RISC-V ecosystem. It is projected that by 2025 there will be over 62 billion RISC-V CPU cores and the total market for RISC-V IP and software is expected to grow to over $1b by 2025.
In 2020 alone, we saw successes with newly defined RISC-V accelerator architectures, affordable RISC-V open source small-board computers, development boards for personal computers, and an incredibly fast 64-bit RISC-V Core as the community also ratified key specifications and made advances in security.
As we see the growth of RISC-V into industries such as AI, machine learning, blockchain, 5G, medical, and industrial, we will see the ratifications of new extensions that enable this growth.
Join Kim McMahon, Director of Marketing and Stephano Cetola, Technical Program Manager as we take a look at where RISC-V is going in 2021.
Chicago Docker Meetup Presentation - MediaflyMediafly
This document discusses how Bryan Murphy uses Docker at his company Mediafly. It begins by introducing Bryan and his background. It then describes what Mediafly does, including content management systems, secure content delivery, document and video processing, and customizable user interfaces. The document highlights aspects of Mediafly that make it interesting, such as being multi-device, multi-tenant, service oriented, and distributed. It provides examples of technologies used at Mediafly and some key metrics. The document then discusses why Docker is used at Mediafly, covering benefits like being developer friendly, enabling faster iteration and testing, managing dependencies, sharing environments, standardization, isolation, and infrastructure freedom.
Implementation of Cmos Camera Device Driver and Wifi Technology on S3c2440 Us...IOSR Journals
Abstract: With the processing of CMOS technology, the technology of video acquisition based on CMOS is becoming a new trend. However, many CMOS camera chip is not supported by the newest Linux kernel yet. The environmental image acquirement and the Wi-Fi transmission system are studied and designed. In this paper, the method of designing the CMOS camera driver based on S3C2440 developing board with the embedded Linux environment is introduced and adds some components such as a USB Wi-Fi adapter. SCCB is a distinguishing feature of OV series CMOS chips. S3C2440 provides a camera interface, and the camera driver is designed based on it. The library and the utilities are compiled, and of images got from CMOS camera to the Wi-Fi mobile phone has been realized by means of programming.
Yocto project has been used at Open-RnD for building a number of IoT related products. The talk will go though the details of integration of Poky build system and OpenEmbedded layers into 3 projects carried out at Open-RnD:
an antonomous parking space monitoring system
a distributed 3D steroscopic image acquisition system
a gadget for acquisition of metabolic parameters of professional athletes
The presentation will approach to building software, automation and upstreaming of fixes.
Open-RnD is a small software company from Łódź, Poland. We have started using Yocto/Poky in late 2013 as a better alternative to in-house build system. Since then, we have successfully implemented a number of projects based on Poky. The presentation will go through the details of 3 projects that cover a diverse range of applications:
an autonomous parking space monitoring system (ParkEasily)
a distributed 3D stereoscopic image acquisition system (Ros3D)
a gadget for acquisition of metabolic parameters of professional athletes (Sonda)
We only use widely available hardware platforms such as BeagleBone Black, Raspberry Pi, Wandboard or Gateworks GW5400 (not as widely used as the previous ones, but still fully supported), hence all the points made during presentation are directly applicable by professionals and hobbyists alike.
This project report describes the development of an application on the DaVinci platform under the guidance of Prof. TK Dan. Akash Sahoo and Abhijit Tripathy, 7th semester B.Tech students, developed an application to take advantage of the DaVinci's integrated ARM and TMS320C64x+ DSP cores. They ported MontaVista Linux and DSP/BIOS to the DaVinci evaluation module board to enable the application and provide OS support across the hybrid processor system.
This document discusses experiments with the uClinux embedded operating system on MicroBlaze processor-based systems. It provides background on MicroBlaze and describes porting uClinux to development boards using MicroBlaze. The author has gained expertise in uClinux and ported it successfully to additional hardware. Current work involves developing device drivers and implementing a more advanced boot process using U-BOOT to support configurable systems and remote updates. The goal is to produce a full-featured uClinux distribution for MicroBlaze.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
2. 无锡控博科技2017
● About uCRobotics
● What is Bubblegum-96
● Porting Ubuntu Core to Bubblegum-96
● Demo We Have Done
Ubuntu Core on Bubblegum-96
3. About uCRobotics
uCRobotics is a Hi-tech company which is the focus of
Intelligent Platform, System Integration, and the
development of Embedded System, etc. In the
meanwhile, uCRobotics is the Hardware Manufacturing
and Software Development Partner of 96Boards under
the International Standard of Linaro. Bubblegum-96
(uCRobotics) is the 4th intelligence development
platform based on the Linaro Standard, which can
provide the embedded solution including: 3D Cloud
Printing , UAV Data Processing, Intelligent Robot,
Wearable Devices, Mobile Desktop, OpenStack/Docker,
AR/VR, etc. uCRobotics advocate the spirit of open
source, focusing on the embedded GNU/Linux,
automation technology, 3D Cloud Printing Control, and
Image recognition process etc. The core members of
the team are Senior Engineers and Business
Supervisors which can provide effective protection on
technical support and market development.
4. 无锡控博科技2017
Linaro and 96boards
96Boards is a range of hardware specifications created by Linaro to
make the latest ARM-based processors available to developers at a
reasonable cost. The specifications are open and define a standard
board layout for SoC-agnostic (processor independent) development
platforms that can be used by software application, hardware device,
kernel and other system software developers. Boards produced to
the 96Boards specifications are suitable for rapid prototyping,
hobbyist projects or incorporation into new systems for a wide range
of applications including desktop and laptop computing, the digital
home, digital signage, point of sale (POS), high-end audio, robotics
and drones, artificial intelligence, virtual reality, IoT and industrial
control.
Standardized expansion buses for peripheral I/O have led to a wide
range of compatible add-on mezzanine boards that will work across a
variety of 96Boards products. Users have access to a wide range of
boards with different features at various price points. In addition,
some SoC vendors have announced long term availability of the SoC
to encourage their use in products with long life cycles.
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● IE 96boards
● MCU: RDA5981
● Embedded WIFI chip
● ARM Cortex-M4
● Embedded memory and flash
● Support IEEE 802.11b/g/n, 2.4GHz
HT20/40
● Support WEP, WPA/WPA2, TKIP,CCMP
● OS: Zypher, mbed, RT-Thread
Bluesky
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Ubuntu Core is a tiny, transactional version of Ubuntu
for IoT devices and large container deployments. It
runs a new breed of super-secure, remotely
upgradeable Linux app packages known as snaps ‐
and it’s trusted by leading IoT players, from chipset
vendors to device makers and system integrators.
……
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”
13. 无锡控博科技2017
Gadget Snap
● Gadget snap is a snap file which contains the
booting files of the board.
uEnv.txt - Hacking files for uboot args
Bootloader.bin - bootloader binary file
U-boot.bin - compiled u-boot file for bubblegum-96
I
15. 无锡控博科技2017
NOTE:
If using stable channel, OS snap name will be changed because of the update. It will be
easier to edit the value of $snap_os in uEnv.txt.
Gadget Snap III
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Kernel Snap
● Kernel snap obtains the kernel source,
obtained from BSP. On Bubblegum-96,
Linux kernel version is 3.10.99.
● Porting AppArmor patches.
● Build kernel snap. Kernel snap version is
16.04
● Using snapcraft to build kernel snap.
● Cross compile by selecting arch. After
snapcraft version 3.02, you can define
cross compile tool.
I
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snapcraft.yaml
name: bubblegum96-kernel
version: 3.10.99
summary: A bubblegum kernel built from source
description: This is the kernel from https://github.com/uCRDev/linux
type: kernel
parts:
kernel:
plugin: kernel
source: ../linux
source-type: git
kdefconfig: [bubblegum_linux_defconfig, snappy/generic.config, snappy/security.config, snappy/systemd.config, snappy/snappy.config,
snappy/containers.config]
kconfigs:
- CONFIG_LOCALVERSION="-bubblegum"
- CONFIG_DEBUG_INFO=n
- CONFIG_SQUASHFS=m
kernel-initrd-modules:
- squashfs
kernel-image-target: Image
kernel-device-trees:
- s900_96board
build-packages: [bc, kmod, cpio]
Kernel Snap II
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AppArmor
AppArmor is an effective and easy-to-use Linux application security system. AppArmor proactively
protects the operating system and applications from external or internal threats, even zero-day
attacks, by enforcing good behavior and preventing even unknown application flaws from being
exploited. AppArmor security policies completely define what system resources individual
applications can access, and with what privileges. A number of default policies are included with
AppArmor, and using a combination of advanced static analysis and learning-based tools, AppArmor
policies for even very complex applications can be deployed successfully in a matter of hours.
Kernel Snap III
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Create Ubuntu Core Image
Using ubuntu-image tool to create Ubuntu Core Image for your board. In this process, tool will
automatically download OS snap from Ubuntu server which your have selected. For example,
stable channel or devel channel.
sudo /snap/bin/ubuntu-image --channel stable
--image-size 2G
--extra-snaps bubblegum96-gadget_16.04-1.2_arm64.snap
--extra-snaps bubblegum96-kernel_3.10.99_arm64.snap
-o bubblegum96.img
bubblegum96.model
“
”
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Prepare model assertion
● Including your authority-id and brand-id,
which bonded with your Ubuntu One
account.
● In Ubuntu One account, your public key
should be added.
● Create model assertion with your snap
key.
● In Ubuntu Core 16.04, ssh is the only way
you can login into your board. Further
more, you can only use public key, which
is absolutely secured.
Create Ubuntu Core Image II
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uC3DP 3D Cloud Printing
In this system, we use 20 bubblegum-96 boards, we called
‘Sheepdog Client’, to operate 20 printers (as the sheep role)
and one bubblegum-96 board called ‘Shepherd Server’ to
manage these 20 boards. When we submit the .stl file,
‘Shepherd Server’ will analysis the file and check if it’s
possible to print well, or fixed the model bugs. Next the model
file will be sliced automatically by “Shepherd Server” and
pushed to “Sheepdog Client”. Finally the “Sheepdog Client”
will operate the sheep, I mean the 3D printers, to print the
model.
25. 无锡控博科技2017
SAFE FAST EASY UBUNTU CORE
The whole system is
running as a private cloud.
So what we cared about
are:
27. 无锡控博科技2017
You can find the relative instructions and source file on Github.
https://github.com/uCRDev/Bubblegum96-Snappy
96boards:
https://www.96boards.org/product/bubblegum-96/
Contacting us:
96boards@ucrobotics.com
2017.09.01@深圳湾