Skiffos: Minimal Cross-Compiled Linux for Embedded Containers
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Studio Report: Yale Open Music Initiative
Studio Report: Yale Open Music Initiative Scott Petersen Mark Santolucito Konrad Kaczmarek Yale University Yale University Yale University [email protected] [email protected] [email protected] ABSTRACT 3. CREATIVE SPACES This studio report describes the Yale Open Music Initia- Yale boasts a number of spaces with diverse technological tive (OMI) and the degree programs, spaces, events, and audio tools and acoustic infrastructure to support the cre- research surrounding the organization. OMI aims to foster ation of new electronic and computer music. a community of practice around the development and use of open source audio tools in the context of artistic expres- sion. We give an overview of the key resources available to students, staff, and faculty for the exploration of creative computation and digitally-enabled music production. 1. INTRODUCTION The Open Music Initiative (OMI) at Yale is an experimen- tal group that is inclusive to diverse student interests. Hosted within the Computer Science department, the OMI studio features a range of hardware and software focused on the creative use and development of open source technologies. The Initiative is staffed by students and faculty of both the Computer Science and Music Departments. Highlights of OMI’s activities include educational workshops for the university and broader creative community, as well as per- formances of faculty, staff, and student work. OMI also maintains ongoing research collaboration with other re- search labs in the Computer Science department at Yale. Figure 1. The studio in AKW123 2. DEGREE PROGRAMS The OMI studio at Yale plays a part of the larger com- 3.1 AKW 123 munity of computation and the arts in the Creative Con- OMI is based in the AKW 123 space in the Computer Sci- silience (C2) of Computing and the Arts program. -
Internet of Things Meets Brain-Computer Interface: a Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity Xiang Zhang, Student Member, IEEE, Lina Yao, Member, IEEE, Shuai Zhang, Student Member, IEEE, Salil Kanhere, Member, IEEE, Michael Sheng, Member, IEEE, and Yunhao Liu, Fellow, IEEE Abstract—A Brain-Computer Interface (BCI) acquires brain signals, analyzes and translates them into commands that are relayed to actuation devices for carrying out desired actions. With the widespread connectivity of everyday devices realized by the advent of the Internet of Things (IoT), BCI can empower individuals to directly control objects such as smart home appliances or assistive robots, directly via their thoughts. However, realization of this vision is faced with a number of challenges, most importantly being the issue of accurately interpreting the intent of the individual from the raw brain signals that are often of low fidelity and subject to noise. Moreover, pre-processing brain signals and the subsequent feature engineering are both time-consuming and highly reliant on human domain expertise. To address the aforementioned issues, in this paper, we propose a unified deep learning based framework that enables effective human-thing cognitive interactivity in order to bridge individuals and IoT objects. We design a reinforcement learning based Selective Attention Mechanism (SAM) to discover the distinctive features from the input brain signals. In addition, we propose a modified Long Short-Term Memory (LSTM) to distinguish the inter-dimensional information forwarded from the SAM. To evaluate the efficiency of the proposed framework, we conduct extensive real-world experiments and demonstrate that our model outperforms a number of competitive state-of-the-art baselines. -
Plasma on Mobile Devices
Plasma on Mobile devices Application Ecosystem MC Bhushan Shah KDE Developer Agenda ● Initial development of the Plasma Mobile ● Basic architecture details ● Advantages to KDE community ● Application ecosystem and development ● Future for Plasma Mobile ● Challenges Introduction ● KDE developer and sysadmin ● Plasma Mobile maintainer and lead developer ● Employed by Bluesystems GmbH ● From Vadodara, India KDE ● Previously known as the K Desktop Environment ● Now community, which creates free software for end users ● Several products including Plasma, KDE Frameworks, KDE applications. Plasma Mobile ● Announced in the July 2015 ● Vision of providing completely free and open-source mobile platform which respects user’s privacy and freedom. ● Initial prototype on the LG Nexus 5. Initial Development ● LGE Nexus 5 as reference device ● Ubuntu Touch 15.04 (vivid) as base system ● Makes use of the Android binary blobs / drivers ● Can also run on the desktop system for development Basic architecture details ● KWin wayland as compositor ● DRM/GBM or hwcomposer backends ● plasmashell and mobile shell package ● QtQuickControls2 and Kirigami for application development Advantages to KDE community ● Several performance improvements ● Better touch input support in applications and shell ● Improvements in Wayland support ● More modular and re-usable user interfaces Application ecosystem and development ● QtQuickControls2 and Kirigami as toolkit ● CMake/QMake as a buildsystem ● Various bundle formats as well as native distribution packaging for the distribution -
Create an Email with Subject Title “Embedded Software Engineer”, Email a Copy of Your Resume to [email protected]
To Apply for This Position: Create an email with subject title “Embedded Software Engineer”, email a copy of your resume to [email protected] Location Address: ALLEN PARK, MI,48101 Position Description: TITLE: Embedded Software Engineer ‐ Hypervisor OS technologies This position is responsible to develop QNX and Android operating system images for Ford infotainment products. This includes creating and integrating code for: bootloader, kernel, drivers, type 1 hypervisor, and build environment. Skills Required: • Lead the design, bring‐up and support of QNX and Android operating system images • Create virt‐io drivers for QNX or Android guest operating systems • Participate in root cause analysis of hardware quality problems and software defects • Participate in system design, documentation, and testing to deliver a best‐in‐class infotainment system Experience Required: • 5+ years operating system experience involving Linux or QNX • 5+ years C/C++ software development experience on embedded, mobile, or consumer electronic platforms Experience Preferred: • Experience with Type 1 hypervisors • Experience creating virt‐io drivers • Mastery of C/C++ language, GNU tool chain, and Unix (QNX, Linux, or equivalent) • Experience with embedded build systems including QNX system builder, buildroot, yocto, or equivalent • Knowledge of in‐vehicle signaling and communication mechanisms such as CAN • Proficiency with revision control including Git, Subversion, or equivalent • Multi‐site software project team experience Education Required: • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related Education Preferred: • Master's degree in Computer Engineering, Electrical Engineering or Computer Science Additional Information: Web Based Assessment not required for this position. Visa Sponsorship and Domestic Relocation is available for this position. -
The Internet of Things (Iot): an Overview
Updated February 12, 2020 The Internet of Things (IoT): An Overview The Internet of Things (IoT) is a system of interrelated incorporation of IIoT and analytics is viewed by experts as devices connected to a network and/or to one another, the Fourth Industrial Revolution, or 4IR. exchanging data without necessarily requiring human-to- machine interaction. In other words, IoT is a collection of Internet of Medical Things (IoMT): The healthcare field electronic devices that can share information among has begun incorporating IoT, creating the Internet of themselves. Examples include smart factories, smart home Medical Things (IoMT). These devices, such as heart devices, medical monitoring devices, wearable fitness monitors and pace makers, collect and send patient health trackers, smart city infrastructures, and vehicular statistics over various networks to healthcare providers for telematics. Potential issues for Congress include regulation, monitoring, analysis, and remote configuration. At a digital privacy, and data security as discussed below. personal health level, wearable IoT devices, such as fitness trackers and smart watches, can track a user’s physical IoT Characteristics activities, basic vital data, and sleeping patterns. According IoT devices are often called “smart” devices because they to a 2019 survey by Pew Research, about one-in-five have sensors and can conduct complex data analytics. IoT Americans uses a smart watch or fitness tracker. devices collect data using sensors and offer services to the user based on the analyses of that data and according to Smart Cities: IoT devices and systems in the utilities, user-defined parameters. For example, a smart refrigerator transportation, and infrastructure sectors may be grouped uses sensors (e.g., cameras) to inventory stored items and under the category of “smart city.” Utilities can use IoT to can alert the user when items run low based on image create “smart” grids and meters for electricity, water, and recognition analyses. -
Fog Computing: a Platform for Internet of Things and Analytics
Fog Computing: A Platform for Internet of Things and Analytics Flavio Bonomi, Rodolfo Milito, Preethi Natarajan and Jiang Zhu Abstract Internet of Things (IoT) brings more than an explosive proliferation of endpoints. It is disruptive in several ways. In this chapter we examine those disrup- tions, and propose a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing. In particular, we pay attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge. 1 Introduction The “pay-as-you-go” Cloud Computing model is an efficient alternative to owning and managing private data centers (DCs) for customers facing Web applications and batch processing. Several factors contribute to the economy of scale of mega DCs: higher predictability of massive aggregation, which allows higher utilization with- out degrading performance; convenient location that takes advantage of inexpensive power; and lower OPEX achieved through the deployment of homogeneous compute, storage, and networking components. Cloud computing frees the enterprise and the end user from the specification of many details. This bliss becomes a problem for latency-sensitive applications, which require nodes in the vicinity to meet their delay requirements. An emerging wave of Internet deployments, most notably the Internet of Things (IoTs), requires mobility support and geo-distribution in addition to location awareness and low latency. We argue that a new platform is needed to meet these requirements; a platform we call Fog Computing [1]. We also claim that rather than cannibalizing Cloud Computing, F. Bonomi R. -
RZ/G Verified Linux Package for 64Bit Kernel V1.0.5-RT Release Note For
Release Note RZ/G Verified Linux Package for 64bit kernel Version 1.0.5-RT R01TU0311EJ0102 Rev. 1.02 Release Note for HTML5 Sep 7, 2020 Introduction This release note describes the contents, building procedures for HTML5 (Gecko) and important points of the RZ/G Verified Linux Package for 64bit kernel (hereinafter referred to as “VLP64”). In this release, Linux packages for HTML5 is preliminary and provided AS IS with no warranty. If you need information to build Linux BSPs without a GUI Framework of HTML5, please refer to “RZ/G Verified Linux Package for 64bit kernel Version 1.0.5-RT Release Note”. Contents 1. Release Items ................................................................................................................. 2 2. Build environment .......................................................................................................... 4 3. Building Instructions ...................................................................................................... 6 3.1 Setup the Linux Host PC to build images ................................................................................. 6 3.2 Building images to run on the board ........................................................................................ 8 3.3 Building SDK ............................................................................................................................. 12 4. Components ................................................................................................................. 13 5. Restrictions -
Intel® Vtune Amplifier Latest Featured Articles
ARTICLES & REVIEWS NEWS ARCHIVE FORUMS PREMIUM CATEGORIES Search Latest Linux News Debian Linux Is Now Available For NVIDIA's Jetson TX1 AMDGPU-PRO 16.60 Released It Looks Like Civilization VI Could Be There's Now A KDE-Branded Laptop Running Neon With Shipping Soon For Linux Plasma 5 Shadow of Mordor Updated For Linux With Written by Michael Larabel in KDE on 26 January 2017 at 06:32 AM EST. 33 Comments Performance Improvements Intel Sends In Final Batch Of DRM Features For KDE fans not interested in setting up a KDE-based Linux distribution on For Linux 4.11: DP MST Audio, HuC your own laptop and worrying about potential graphics driver bugs with Firmware Plasma or other possible headaches, there is now a "KDE laptop" backed by the KDE community. Wine-Staging 2.0 Rolls Out For Experimental Users: Vulkan, D3D11, Etc KDE has teamed up with Spanish computer hardware retailer Slimbook to Chrome 56 Released With WebGL 2.0 By offer the KDE Slimbook. It's an Intel laptop preloaded with KDE Neon and thus running the Default, FLAC Support latest KDE Frameworks 5 + Plasma 5 experience. This isn't a laptop running Coreboot or the GNOME's Mutter Rolls Out New Monitor like or any other real innovations besides just being pre-loaded with KDE Neon and tested Configuration System by KDE Developers to ensure you don't run into any hardware troubles, etc. NetworkManager 1.6 Released 10-bit HEVC Decoding Support Being The KDE Slimbook currently comes in two varieties with either a Core i5 6200U or Core i7 Worked On For RadeonSI Gallium3D 6500U processor, 4 / 8 / 16GB RAM options, Intel Graphics HD 520, SSD storage, 13.3-inch 1080p screen, and a two-year warranty. -
Embedded Linux Systems with the Yocto Project™
OPEN SOURCE SOFTWARE DEVELOPMENT SERIES Embedded Linux Systems with the Yocto Project" FREE SAMPLE CHAPTER SHARE WITH OTHERS �f, � � � � Embedded Linux Systems with the Yocto ProjectTM This page intentionally left blank Embedded Linux Systems with the Yocto ProjectTM Rudolf J. Streif Boston • Columbus • Indianapolis • New York • San Francisco • Amsterdam • Cape Town Dubai • London • Madrid • Milan • Munich • Paris • Montreal • Toronto • Delhi • Mexico City São Paulo • Sidney • Hong Kong • Seoul • Singapore • Taipei • Tokyo Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. The author and publisher have taken care in the preparation of this book, but make no expressed or implied warranty of any kind and assume no responsibility for errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of the use of the information or programs contained herein. For information about buying this title in bulk quantities, or for special sales opportunities (which may include electronic versions; custom cover designs; and content particular to your business, training goals, marketing focus, or branding interests), please contact our corporate sales depart- ment at [email protected] or (800) 382-3419. For government sales inquiries, please contact [email protected]. For questions about sales outside the U.S., please contact [email protected]. Visit us on the Web: informit.com Cataloging-in-Publication Data is on file with the Library of Congress. -
Riscv-Software-Stack-Tutorial-Hpca2015
Software Tools Bootcamp RISC-V ISA Tutorial — HPCA-21 08 February 2015 Albert Ou UC Berkeley [email protected] Preliminaries To follow along, download these slides at http://riscv.org/tutorial-hpca2015.html 2 Preliminaries . Shell commands are prefixed by a “$” prompt. Due to time constraints, we will not be building everything from source in real-time. - Binaries have been prepared for you in the VM image. - Detailed build steps are documented here for completeness but are not necessary if using the VM. Interactive portions of this tutorial are denoted with: $ echo 'Hello world' . Also as a reminder, these slides are marked with an icon in the upper-right corner: 3 Software Stack . Many possible combinations (and growing) . But here we will focus on the most common workflows for RISC-V software development 4 Agenda 1. riscv-tools infrastructure 2. First Steps 3. Spike + Proxy Kernel 4. QEMU + Linux 5. Advanced Cross-Compiling 6. Yocto/OpenEmbedded 5 riscv-tools — Overview “Meta-repository” with Git submodules for every stable component of the RISC-V software toolchain Submodule Contents riscv-fesvr RISC-V Frontend Server riscv-isa-sim Functional ISA simulator (“Spike”) riscv-qemu Higher-performance ISA simulator riscv-gnu-toolchain binutils, gcc, newlib, glibc, Linux UAPI headers riscv-llvm LLVM, riscv-clang submodule riscv-pk RISC-V Proxy Kernel (riscv-linux) Linux/RISC-V kernel port riscv-tests ISA assembly tests, benchmark suite All listed submodules are hosted under the riscv GitHub organization: https://github.com/riscv 6 riscv-tools — Installation . Build riscv-gnu-toolchain (riscv*-*-elf / newlib target), riscv-fesvr, riscv-isa-sim, and riscv-pk: (pre-installed in VM) $ git clone https://github.com/riscv/riscv-tools $ cd riscv-tools $ git submodule update --init --recursive $ export RISCV=<installation path> $ export PATH=${PATH}:${RISCV}/bin $ ./build.sh . -
OS Selection for Dummies
OS SELECTION HOW TO CHOOSE HOW TO CHOOSE Choosing your OS is the first step, so take the time to consider your choice fully. There are many parameters to take into account: l Is this a new project or the evolution of an existing product? l Using the same SW stack? Re-using existing code? l Is your team familiar with a particular OS? Ø Using an OS you are already comfortable with can help l What are the HW constraints of your system? Ø Some operating systems require more memory/processing power than others l Have no SW team? Not sure about the above? Ø Contact us so we can help you decide! Ø We can also introduce you to one of our many partners! 1 OS SELECTION OPEN SOURCE VS. COMMERCIAL OS Embedded OS BSP Provider $ Cost Open-Source OS Boundary Devices • Embedded Linux / Android Embedded Linux $0, included • Large pool of developers available with Board Purchase • Strong community • Royalty-free And / or partners 3rd Party - Commercial OS Partners • QNX / Win10 IoT / Green Hills $>0, depends on • Professional support requirements • Unique set of development tools 2 OS SELECTION OPEN SOURCE SELECTION OS SELECTION PROS CONS Embedded Linux Most powerful / optimized Complexity for newcomers solution, maintained by NXP • Build systems Ø Yocto / Buildroot Simpler solution, makefile- Not as flexible as Yocto Ø Everything built from scratch based, maintained by BD Desktop-like approach, Harder to customize, non- Package-based distribution easy-to-use atomic updates, no cross- • Ubuntu / Debian compilation SDK Apt install / update, millions • Packages installed from server of prebuilt packages available Android Millions of apps available, same number of developers, Resource-hungry, complex • AOSP-based (no GMS) development environment, BSP modifications (HAL) • APK applications IDE + debugging tools 3 SOFTWARE PARTNERS Boundary Devices has an industry-leading group of software partners. -
Building a Distribution: Openharmony and Openmandriva
Two different approaches to building a distribution: OpenHarmony and OpenMandriva Bernhard "bero" Rosenkränzer <[email protected]> FOSDEM 2021 -- February 6, 2021 1 MY CONTACT: [email protected], [email protected] Way more important than that, he also feeds LINKEDIN: dogs. https://www.linkedin.com/in/berolinux/ Bernhard "bero" Rosenkränzer I don't usually do "About Me", but since it may be relevant to the topic: Principal Technologist at Open Source Technology Center since November 2020 President of the OpenMandriva Association, Contributor since 2012 - also a contributor to Mandrake back in 1998/1999 2 What is OpenHarmony? ● More than an operating system: Can use multiple different kernels (Linux, Zephyr, ...) ● Key goal: autonomous, cooperative devices -- multiple devices form a distributed virtual bus and can share resources ● Initial target devices: Avenger 96 (32-bit ARMv7 Cortex-A7+-M4), Nitrogen 96 (Cortex-M4) ● Built with OpenEmbedded/Yocto - one command builds the entire OS ● Fully open, developed as an Open Source project instead of an inhouse product from the start. ● For more information, visit Stefan Schmidt's talk in the Embedded devroom, 17.30 and/or talk to us at the Huawei OSTC stand. 3 What is OpenMandriva? ● A more traditional Linux distribution - controlled by the community, continuing where Mandriva left off after the company behind it went out of business in 2012. Its roots go back to the first Mandrake Linux release in 1998. ● Originally targeting only x86 PCs - Support for additional architectures (aarch64, armv7hnl, RISC-V) added later ● Repositiories contain 17618 packages, built and updated individually, assembled into an installable product with omdv-build-iso or os-image-builder.