I.MX Graphics User's Guide NXP Semiconductors
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Introduction to the Vulkan Computer Graphics API
1 Introduction to the Vulkan Computer Graphics API Mike Bailey mjb – July 24, 2020 2 Computer Graphics Introduction to the Vulkan Computer Graphics API Mike Bailey [email protected] SIGGRAPH 2020 Abridged Version This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License http://cs.oregonstate.edu/~mjb/vulkan ABRIDGED.pptx mjb – July 24, 2020 3 Course Goals • Give a sense of how Vulkan is different from OpenGL • Show how to do basic drawing in Vulkan • Leave you with working, documented, understandable sample code http://cs.oregonstate.edu/~mjb/vulkan mjb – July 24, 2020 4 Mike Bailey • Professor of Computer Science, Oregon State University • Has been in computer graphics for over 30 years • Has had over 8,000 students in his university classes • [email protected] Welcome! I’m happy to be here. I hope you are too ! http://cs.oregonstate.edu/~mjb/vulkan mjb – July 24, 2020 5 Sections 13.Swap Chain 1. Introduction 14.Push Constants 2. Sample Code 15.Physical Devices 3. Drawing 16.Logical Devices 4. Shaders and SPIR-V 17.Dynamic State Variables 5. Data Buffers 18.Getting Information Back 6. GLFW 19.Compute Shaders 7. GLM 20.Specialization Constants 8. Instancing 21.Synchronization 9. Graphics Pipeline Data Structure 22.Pipeline Barriers 10.Descriptor Sets 23.Multisampling 11.Textures 24.Multipass 12.Queues and Command Buffers 25.Ray Tracing Section titles that have been greyed-out have not been included in the ABRIDGED noteset, i.e., the one that has been made to fit in SIGGRAPH’s reduced time slot. -
Remuneration Policy for the Board of Management of Asml Holding N.V
REMUNERATION POLICY FOR THE BOARD OF MANAGEMENT OF ASML HOLDING N.V. (VERSION 2021) Remuneration Policy for the Board of Management of ASML Holding N.V. (version 2021) Public Board of Management Remuneration Policy 2021 This remuneration policy for the Board of Management of ASML Holding N.V. (“BoM”) applies as from January 1, 2021 onwards. The remuneration policy was approved by the Supervisory Board (“SB”) of ASML, upon recommendation of its Remuneration Committee (“RC”) and adopted by the General Meeting (“GM”) on 29 April 2021. The Works Council exercised its right to cast its advisory vote prior to adoption. Remuneration as a strategic instrument The remuneration policy supports the long-term development and strategy of the Company in a highly dynamic environment, while aiming to fulfill all stakeholders’ requirements and keeping an acceptable risk profile. More than ever, the challenge for us is to drive technology, to serve our customers and to satisfy our stakeholders. These drivers are embedded in the identity, mission and values of ASML and its affiliated enterprises and are the backbone of the remuneration policy. The SB ensures that the policy and its implementation are linked to the Company’s objectives. The objective of the remuneration policy is to enable ASML to attract, motivate and retain qualified industry professionals for the BoM in order to define and achieve our strategic goals. The policy acknowledges the internal and external context as well as our business needs and long-term strategy. The policy is designed to encourage behavior that is focused on long-term value creation and the long-term interests and sustainability of the Company, while adopting the highest standards of good corporate governance. -
Visual Development Environment for Openvx
______________________________________________________PROCEEDING OF THE 20TH CONFERENCE OF FRUCT ASSOCIATION Visual Development Environment for OpenVX Alexey Syschikov, Boris Sedov, Konstantin Nedovodeev, Sergey Pakharev Saint Petersburg State University of Aerospace Instrumentation Saint Petersburg, Russia {alexey.syschikov, boris.sedov, konstantin.nedovodeev, sergey.pakharev}@guap.ru Abstract—OpenVX standard has appeared as an answer II. STATE OF THE ART from the computer vision community to the challenge of accelerating vision applications on embedded heterogeneous OpenVX is intended to increase performance and reduce platforms. It is designed as a low-level programming framework power consumption of machine vision applications. It is that enables software developers to leverage the computer vision focused on embedded systems with real-time use cases such as hardware potential with functional and performance portability. face, body and gesture tracking, video surveillance, advanced In this paper, we present the visual environment for OpenVX driver assistance systems (ADAS), object and scene programs development. To the best of our knowledge, this is the reconstruction, augmented reality, visual inspection etc. first time the graphical notation is used for OpenVX programming. Our environment addresses the need to design The using of OpenVX standard functions is a way to ensure OpenVX graphs in a natural visual form with automatic functional portability of the developed software to all hardware generation of a full-fledged program, saving the programmer platforms that support OpenVX. from writing a bunch of a boilerplate code. Using the VIPE visual IDE to develop OpenVX programs also makes it possible to work Since the OpenVX API is based on opaque data types, with our performance analysis tools. -
GLSL 4.50 Spec
The OpenGL® Shading Language Language Version: 4.50 Document Revision: 7 09-May-2017 Editor: John Kessenich, Google Version 1.1 Authors: John Kessenich, Dave Baldwin, Randi Rost Copyright (c) 2008-2017 The Khronos Group Inc. All Rights Reserved. This specification is protected by copyright laws and contains material proprietary to the Khronos Group, Inc. It or any components may not be reproduced, republished, distributed, transmitted, displayed, broadcast, or otherwise exploited in any manner without the express prior written permission of Khronos Group. You may use this specification for implementing the functionality therein, without altering or removing any trademark, copyright or other notice from the specification, but the receipt or possession of this specification does not convey any rights to reproduce, disclose, or distribute its contents, or to manufacture, use, or sell anything that it may describe, in whole or in part. Khronos Group grants express permission to any current Promoter, Contributor or Adopter member of Khronos to copy and redistribute UNMODIFIED versions of this specification in any fashion, provided that NO CHARGE is made for the specification and the latest available update of the specification for any version of the API is used whenever possible. Such distributed specification may be reformatted AS LONG AS the contents of the specification are not changed in any way. The specification may be incorporated into a product that is sold as long as such product includes significant independent work developed by the seller. A link to the current version of this specification on the Khronos Group website should be included whenever possible with specification distributions. -
The Importance of Data
The landscape of Parallel Programing Models Part 2: The importance of Data Michael Wong and Rod Burns Codeplay Software Ltd. Distiguished Engineer, Vice President of Ecosystem IXPUG 2020 2 © 2020 Codeplay Software Ltd. Distinguished Engineer Michael Wong ● Chair of SYCL Heterogeneous Programming Language ● C++ Directions Group ● ISOCPP.org Director, VP http://isocpp.org/wiki/faq/wg21#michael-wong ● [email protected] ● [email protected] Ported ● Head of Delegation for C++ Standard for Canada Build LLVM- TensorFlow to based ● Chair of Programming Languages for Standards open compilers for Council of Canada standards accelerators Chair of WG21 SG19 Machine Learning using SYCL Chair of WG21 SG14 Games Dev/Low Latency/Financial Trading/Embedded Implement Releasing open- ● Editor: C++ SG5 Transactional Memory Technical source, open- OpenCL and Specification standards based AI SYCL for acceleration tools: ● Editor: C++ SG1 Concurrency Technical Specification SYCL-BLAS, SYCL-ML, accelerator ● MISRA C++ and AUTOSAR VisionCpp processors ● Chair of Standards Council Canada TC22/SC32 Electrical and electronic components (SOTIF) ● Chair of UL4600 Object Tracking ● http://wongmichael.com/about We build GPU compilers for semiconductor companies ● C++11 book in Chinese: Now working to make AI/ML heterogeneous acceleration safe for https://www.amazon.cn/dp/B00ETOV2OQ autonomous vehicle 3 © 2020 Codeplay Software Ltd. Acknowledgement and Disclaimer Numerous people internal and external to the original C++/Khronos group, in industry and academia, have made contributions, influenced ideas, written part of this presentations, and offered feedbacks to form part of this talk. But I claim all credit for errors, and stupid mistakes. These are mine, all mine! You can’t have them. -
Overview: Graphics Processing Units
Overview: Graphics Processing Units l advent of GPUs l GPU architecture n the NVIDIA Fermi processor l the CUDA programming model n simple example, threads organization, memory model n case study: matrix multiply using shared memory n memories, thread synchronization, scheduling n case study: reductions n performance considerations: bandwidth, scheduling, resource conflicts, instruction mix u host-device data transfer: multiple GPUs, NVLink, Unified Memory, APUs l the OpenCL programming model l directive-based programming models refs: Lin & Snyder Ch 10, CUDA Toolkit Documentation, An Even Easier Introduction to CUDA (tutorial); NCI NF GPU page, Programming Massively Parallel Processors, Kirk & Hwu, Morgan-Kaufman, 2010; Cuda By Example, by Sanders and Kandrot; OpenCL web page, OpenCL in Action, by Matthew Scarpino COMP4300/8300 L18,19: Graphics Processing Units 2021 JJJ • III × 1 Advent of General-purpose Graphics Processing Units l many applications have massive amounts of mostly independent calculations n e.g. ray tracing, image rendering, matrix computations, molecular simulations, HDTV n can be largely expressed in terms of SIMD operations u implementable with minimal control logic & caches, simple instruction sets l design point: maximize number of ALUs & FPUs and memory bandwidth to take advantage of Moore’s’ Law (shown here) n put this on a co-processor (GPU); have a normal CPU to co-ordinate, run the operating system, launch applications, etc l architecture/infrastructure development requires a massive economic base for its development (the gaming industry!) n pre 2006: only specialized graphics operations (integer & float data) n 2006: ‘General Purpose’ (GPGPU): general computations but only through a graphics library (e.g. -
NXP's A71CH Trust Anchor Solution Delivers Secure Connections to Google Cloud Iot Core
NXP's A71CH Trust Anchor Solution Delivers Secure Connections to Google Cloud IoT Core September 10, 2018 Collaboration brings “zero-touch” onboarding of devices to Google Cloud IoT with NXP A71CH, Plug & Trust Secure Element EINDHOVEN, The Netherlands, Sept. 10, 2018 (GLOBE NEWSWIRE) -- NXP Semiconductors N.V. (NASDAQ:NXPI) today officially announced a solution for secure, scalable connections of devices using NXP’s A71CH to Google IoT Cloud. NXP is providing Original Equipment Manufacturers (OEMs) a “Plug & Trust” experience for authenticating to Google Cloud IoT Core. NXP’s A71CH is a trust anchor, ready-to-use security solution designed for integration into next-generation IoT devices, such as edge nodes and gateways. When embedded into devices, the chip signs a secure token and is validated by Google IoT Core to enable seamless peer-to-peer cloud connections with private credentials pre-injected for autonomous cloud onboarding and authentication. “Security is a critical concern that must be top of mind when deploying and managing IoT devices that connect to the cloud,” said Antony Passemard, Head of Product, Cloud IoT at Google. “This solution makes it easy for developers to add a strong identity encryption and access control. We’re happy to work with NXP, a recognized industry leader in IoT and security, to simplify development of IoT devices with embedded security.” “Security-by-design is key to unlocking the next wave of IoT device connections,” said Philippe Dubois, senior director and general manager of IoT security solutions at NXP. “Our solution aims to solve scalability and complexity issues commonly associated with securing and managing edge devices. -
Opengl ES / Openvg / Opencl / Webgl / Etc
KNU-3DC : Education and Training Plan 24 July 2013 Hwanyong LEE, Ph.D. Principal Engineer & Industry Cooperation Prof., KNU 3DC [email protected] KNU-3DC Introduction • Kyungpook National Univ. 3D Convergence Technology Center . Korea Government Funded Org. 23 staffs (10 Ph.D) . Research / Supporting Industry . Training and Education • Training and Education . Dassault Training Center . KIKS(Korea Institute of Khronos Study) • Constructing New Center Building . HUGE ! 7 Floors ! (2014E) 2 KNU-3DC KIKS • KIKS(Korea Institute of Khronos Study) . Leading Role in Korea for Training and Education of Khronos Standard – Collaboration with Khronos Group . Open Lecture + Develop Coursework for • OpenGL / OpenGL ES / OpenVG / OpenCL / WebGL / etc. • Opening / Sponsoring Workshop and Forum . Participating Khronos Activities • Contributor Member (Plan, now Processing) • Active participation of Khronos WG . Other Standard Activities • Make Khronos Standard into Korea National Standard. (WebGL) • W3C, ISO/IEC JTC1, IEEE 3333.X . Research and Consulting for Industry and Academy 3 KIKS Course • KIKS Course will be categorized into . Basic / Advanced / Packaged . Special Course - For instance Overview / Optimization / Consulting • Developing Courseware (for Khronos API) . OpenGL ES Basic & Advanced . OpenGL Basic & Advanced . OpenVG . OpenCL Basic & Advanced . WebGL . Etc. – new standards (Red - Started / Orange – Start at 4Q2013 / Dark Blue – Start at 2014) 4 Different View of Courses University Computer Game Image Parallel View Graphics Develop Processing … Processing JavaScript Khronos Canvas View … iPhone Android Company Web-App Parallel App App Application Develop View Develop Develop … Develop Course Development – Packaging Example • Android Application with OpenGL ES . General Android API’s – JNI, Java etc. OpenGL ES • iPhone App. Development with OpenGL ES . General iPhone APP API – cocoa, Objective-C, etc. -
OM-Cube Project
OM-Cube project V. Hiribarren, N. Marchand, N. Talfer [email protected] - [email protected] - [email protected] Abstract. The OM-Cube project is composed of several components like a minimal operating system, a multi- media player, a LCD display and an infra-red controller. They should be chosen to fit the hardware of an em- bedded system. Several other similar projects can provide information on the software that can be chosen. This paper aims to examine the different available tools to build the OM-Multimedia machine. The main purpose is to explore different ways to build an embedded system that fits the hardware and fulfills the project. 1 A Minimal Operating System The operating system is the core of the embedded system, and therefore should be chosen with care. Because of its popu- larity, a Linux based system seems the best choice, but other open systems exist and should be considered. After having elected a system, all unnecessary components may be removed to get a minimal operating system. 1.1 A Linux Operating System Using a Linux kernel has several advantages. As it’s a popular kernel, many drivers and documentation are available. Linux is an open source kernel; therefore it enables anyone to modify its sources and to recompile it. Using Linux in an embedded system requires adapting the kernel to the hardware and to the system needs. A simple method for building a Linux embed- ded system is to create a partition on a development host and to mount it on a temporary mount point. This partition is filled as one goes along and then, the final distribution is put on the target host [Fich02] [LFS]. -
Digi Trustfence Integrated, Tested and Future-Proof Security DIGI.COM | PUBLIC | © DIGI INTERNATIONAL, INC
CONNECT WITH CONFIDENCE DIGI CONNECTCORE 6UL IOT EMBEDDED MODULE TRUSTFENCE EMBEDDED IOT SECURITY FRAMEWORK 1 DIGI.COM | PUBLIC | © DIGI INTERNATIONAL, INC. STRENGTH IN NUMBERS 285 100M 25K PATENTS ISSUED THINGS CUSTOMERS AND PENDING CONNECTED DGII 1985 515 14 204 137 Year Employees Consecutive Years Million In Million NASDAQ Founded Worldwide of Profitability Revenue In Cash 2DIGI.COM | PUBLIC | © DIGI INTERNATIONAL, INC. EXTENSIVE GLOBAL REACH North EMEA APAC America Global 50 71 34 5 Latin Digi Offices America 27 Distribution Partners HQ 15 200+ 180+ 800+ Minnetonka, MN Regional Digi Channel Channel USA Offices Technical Resources Partners Technical Resources 3DIGI.COM | PUBLIC | © DIGI INTERNATIONAL, INC. BRING CONNECTIVITY TO ANY DEVICE CREATE DEPLOY MANAGE RF & EMBEDDED CELLULAR ROUTERS DIGI REMOTE MANAGER MODULES & SBCs AND GATEWAYS DIGI DEVICE CLOUD CUSTOM DESIGN SERVICES DEVICE NETWORKING COLD CHAIN SOLUTIONS 4 DIGI.COM | PUBLIC | © DIGI INTERNATIONAL, INC. DIGI EMBEDDED BENEFITS Integrated 802.11 a/b/g/n/ac networking options Network Connectivity Bluetooth Smart Ready options on selected modules Single or dual Ethernet Design change notifications/approvals Process Control and Strong 5-year hardware warranty Reliability Stringent environmental testing to meet reliability requirements Design flexibility without the traditional complexity Quick Time-to-Market Pre-certified system on module solutions Complete out-of-box software support + design services Long-Term Availability Selected NXP i.MX application processors -
NXP Semiconductors NV
SECURITIES AND EXCHANGE COMMISSION FORM SC 14D9/A Tender offer solicitation / recommendation statements filed under Rule 14d-9 [amend] Filing Date: 2017-12-13 SEC Accession No. 0000914121-17-001815 (HTML Version on secdatabase.com) SUBJECT COMPANY NXP Semiconductors N.V. Mailing Address Business Address HIGH TECH CAMPUS 60 31 40 27 43704 CIK:1413447| IRS No.: 000000000 EINDHOVEN P7 5656AG Type: SC 14D9/A | Act: 34 | File No.: 005-85657 | Film No.: 171253046 SIC: 3674 Semiconductors & related devices FILED BY ELLIOTT ASSOCIATES, L.P. Mailing Address Business Address 40 WEST 57TH STREET 40 WEST 57TH STREET CIK:904495| IRS No.: 222140975 | State of Incorp.:DE | Fiscal Year End: 1231 30TH FLOOR 30TH FLOOR Type: SC 14D9/A NEW YORK NY 10019 NEW YORK NY 10019 2125062999 Copyright © 2017 www.secdatabase.com. All Rights Reserved. Please Consider the Environment Before Printing This Document UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, DC 20549 AMENDMENT NO. 1 to SCHEDULE 14D-9 (RULE 14d-101) SOLICITATION/RECOMMENDATION STATEMENT UNDER SECTION 14(D)(4) OF THE SECURITIES EXCHANGE ACT OF 1934 NXP Semiconductors N.V. (Name of Subject Company) Elliott Associates, L.P. Elliott International, L.P. Paul E. Singer Elliott Capital Advisors, L.P. Elliott Special GP, LLC Braxton Associates, Inc. Elliott Asset Management LLC Elliott International Capital Advisors Inc. Hambledon, Inc. Elliott Management Corporation The Liverpool Limited Partnership Liverpool Associates Ltd. Elliott Advisors (UK) Limited Manchester Securities Corp. (Name of Person(s) Filing Statement) Common Shares, par value EUR 0.20 per share (Title of Class of Securities) N6596X109 (CUSIP Number of Class of Securities) Richard M. -
The Opengl Graphics System
OpenGL R ES Native Platform Graphics Interface (Version 1.0) Editor: Jon Leech Copyright c 2002-2003 Promoters of the Khronos Group (3Dlabs, ARM Ltd., ATI Technologies, Inc., Discreet, Ericsson Mobile, Imagination Technologies Group plc, Motorola, Inc., Nokia, Silicon Graphics, Inc., SK Telecom, and Sun Microsystems). This document is protected by copyright, and contains information proprietary to The Khronos Group. Any copying, adaptation, distribution, public performance, or public display of this document without the express written consent of the copy- right holders is strictly prohibited. The receipt or possession of this document does not convey any rights to reproduce, disclose, or distribute its contents, or to manu- facture, use, or sell anything that it may describe, in whole or in part. R This document is a derivative work of ”OpenGL Graphics with the X Window System (Version 1.4)”. Silicon Graphics, Inc. owns, and reserves all rights in, the latter document. OpenGL is a registered trademark, and OpenGL ES is a trademark, of Silicon Graphics, Inc. Contents 1 Overview 1 2 EGL Operation 2 2.1 Native Window System and Rendering APIs . 2 2.1.1 Scalar Types . 2 2.1.2 Displays . 3 2.2 Rendering Contexts and Drawing Surfaces . 3 2.2.1 Using Rendering Contexts . 4 2.2.2 Rendering Models . 4 2.2.3 Interaction With Native Rendering . 4 2.3 Direct Rendering and Address Spaces . 5 2.4 Shared State . 5 2.4.1 Texture Objects . 6 2.5 Multiple Threads . 6 2.6 Power Management . 7 3 EGL Functions and Errors 8 3.1 Errors .