The Value of Standards Why Leadership in Standards Is Important
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Stochastic Modeling and Performance Analysis of Multimedia Socs
Stochastic Modeling and Performance Analysis of Multimedia SoCs Balaji Raman, Ayoub Nouri, Deepak Gangadharan, Marius Bozga, Ananda Basu, Mayur Maheshwari, Jérôme Milan, Axel Legay, Saddek Bensalem, Samarjit Chakraborty To cite this version: Balaji Raman, Ayoub Nouri, Deepak Gangadharan, Marius Bozga, Ananda Basu, et al.. Stochastic Modeling and Performance Analysis of Multimedia SoCs. SAMOS XIII - Embedded Computer Sys- tems: Architectures, Modeling, and Simulation, Jul 2013, Agios konstantinos, Samos Island, Greece. pp.145-154, 10.1109/SAMOS.2013.6621117. hal-00878094 HAL Id: hal-00878094 https://hal.archives-ouvertes.fr/hal-00878094 Submitted on 29 Oct 2013 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Stochastic Modeling and Performance Analysis of Multimedia SoCs Balaji Raman1, Ayoub Nouri1, Deepak Gangadharan2, Marius Bozga1, Ananda Basu1, Mayur Maheshwari1, Jerome Milan3, Axel Legay4, Saddek Bensalem1, and Samarjit Chakraborty5 1 VERIMAG, France, 2 Technical Univeristy of Denmark, 3 Ecole Polytechnique, France, 4 INRIA Rennes, France, 5 Technical University of Munich, Germany. E-mail: [email protected] Abstract—Quality of video and audio output is a design-time to estimate buffer size for an acceptable output quality. The constraint for portable multimedia devices. -
An Emerging Architecture in Smart Phones
International Journal of Electronic Engineering and Computer Science Vol. 3, No. 2, 2018, pp. 29-38 http://www.aiscience.org/journal/ijeecs ARM Processor Architecture: An Emerging Architecture in Smart Phones Naseer Ahmad, Muhammad Waqas Boota * Department of Computer Science, Virtual University of Pakistan, Lahore, Pakistan Abstract ARM is a 32-bit RISC processor architecture. It is develop and licenses by British company ARM holdings. ARM holding does not manufacture and sell the CPU devices. ARM holding only licenses the processor architecture to interested parties. There are two main types of licences implementation licenses and architecture licenses. ARM processors have a unique combination of feature such as ARM core is very simple as compare to general purpose processors. ARM chip has several peripheral controller, a digital signal processor and ARM core. ARM processor consumes less power but provide the high performance. Now a day, ARM Cortex series is very popular in Smartphone devices. We will also see the important characteristics of cortex series. We discuss the ARM processor and system on a chip (SOC) which includes the Qualcomm, Snapdragon, nVidia Tegra, and Apple system on chips. In this paper, we discuss the features of ARM processor and Intel atom processor and see which processor is best. Finally, we will discuss the future of ARM processor in Smartphone devices. Keywords RISC, ISA, ARM Core, System on a Chip (SoC) Received: May 6, 2018 / Accepted: June 15, 2018 / Published online: July 26, 2018 @ 2018 The Authors. Published by American Institute of Science. This Open Access article is under the CC BY license. -
Videocodecs in a Nutshell
Videocodecs in a Nutshell Wie funktioniert’s und was gibt’s neues? darkbit 14.08.2021 14.08.21 1 Gliederung ● Motivation ● Grundlagen moderner Videocodecs am Beispiel von HEVC ● Neue Videocodecs – AOMedia Video 1 (AV1) – Versatile Video Coding (VVC) – Essential Video Coding (EVC) – Low Complexity Enhancement Video Codec (LC EVC) ● Vergleich der Codecs ● Ausblick 14.08.21 Videocodecs in a Nutshell - darkbit 2 Motivation ● Rohvideo ist groß ● Bsp: Spielfilm auf DVD – Pixel hat je 8 Bit für die RGB-Komponenten => 24 bits pro Pixel – Übliche Auflösung 720x576 Pixel => 414‘720 Pixel => ~9,953Mbit pro Bild – 25 Bilder pro Sekunde => 248,825 Mbit/s – 90 Minuten Spielfilmlänge => 1,344 Tbit (168 Gbyte) pro Film – Wir haben aber nur max. 8,5 Gbyte pro DVD (Dual-Layer) – Wir müssen unser Video um mind. 95% komprimieren! ● Ziel eines Videocodecs: Möglichst hohe Kompression bei möglichst geringer visuellen Qualitätseinbußungen. 14.08.21 Videocodecs in a Nutshell - darkbit 3 Motivation CC-BY 3.0 - Blender Foundation CC-BY-SA 3.0 - Rdikeman Anforderungen On-Demand Video Live Video Kompression möglichst hoch auf Kanalbandbreite Encodingspeed irrelevant in Echtzeit Decodingspeed in Echtzeit in Echtzeit Bitrate adaptiv konstant 14.08.21 Videocodecs in a Nutshell - darkbit 4 State of the Art Videocodecs Veröffentlichung Codec Bitraten-reduktion Anwendungen Mai 1996 H.262, MPEG-2 Part 2 DVD, SDTV, Blu-Ray März 2003 AVC (H.264, MPEG-4 -50% gegenüber HDTV, Webvideo, Part 10) H.262 WebRTC, Blu-Ray September 2008 (seit VP8 -5% gegenüber AVC Webvideo, 2010 lizenzfrei) WebRTC Mai 2013 VP9 -20% gegenüber AVC Webvideo, WebRTC Dezember 2013 HEVC (H.265, MPEG-H -20% gegenüber AVC UHD Blu-Ray Part 2) 14.08.21 Videocodecs in a Nutshell - darkbit 5 Patentproblematiken Quelle: Jonatan Samuelsson und Per Hermansson. -
Comparative Study of Various Systems on Chips Embedded in Mobile Devices
Innovative Systems Design and Engineering www.iiste.org ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online) Vol.4, No.7, 2013 - National Conference on Emerging Trends in Electrical, Instrumentation & Communication Engineering Comparative Study of Various Systems on Chips Embedded in Mobile Devices Deepti Bansal(Assistant Professor) BVCOE, New Delhi Tel N: +919711341624 Email: [email protected] ABSTRACT Systems-on-chips (SoCs) are the latest incarnation of very large scale integration (VLSI) technology. A single integrated circuit can contain over 100 million transistors. Harnessing all this computing power requires designers to move beyond logic design into computer architecture, meet real-time deadlines, ensure low-power operation, and so on. These opportunities and challenges make SoC design an important field of research. So in the paper we will try to focus on the various aspects of SOC and the applications offered by it. Also the different parameters to be checked for functional verification like integration and complexity are described in brief. We will focus mainly on the applications of system on chip in mobile devices and then we will compare various mobile vendors in terms of different parameters like cost, memory, features, weight, and battery life, audio and video applications. A brief discussion on the upcoming technologies in SoC used in smart phones as announced by Intel, Microsoft, Texas etc. is also taken up. Keywords: System on Chip, Core Frame Architecture, Arm Processors, Smartphone. 1. Introduction: What Is SoC? We first need to define system-on-chip (SoC). A SoC is a complex integrated circuit that implements most or all of the functions of a complete electronic system. -
Overview of CPU Power Consumption and Management in Smartphones
Overview of CPU Power Consumption and Management in Smartphones Prof. Sasu Tarkoma University of Helsinki, Aalto University, Helsinki Institute for Information Technology Contents • Modern smartphone SoC and CPUs – The CPU: power states – Power management basics • Smartphone solutions – Linux CPU Frequency subsystem – Power models • Intra-device task offloading – Sensor hub – Heterogeneous multiprocessing • Computation offloading Smartphones • Smartphones have become hubs for applications and connecting with the Internet • Cloud has emerged as a backend for mobile applications • Mobile data and WiFi are the dominant protocols for connecting with Internet resources • The next generation solutions are addressing limitations of the current smartphones – Coordination of resource usage – Offloading in its many forms – Heterogeneous environment and the emergence of IoT / M2M / wearables Observations • Smartphone and mobile device hardware and software evolve rapidly • Multiple wireless protocols • Heterogeneous computing over multiple cores – Dedicated subsystems (sensor hubs) – Increasing number of sensing subsystems – Always-on sensing • Battery technology has not kept pace with the development • Software is not, in many cases, optimized • Difficult to balance between local versus distributed processing • Difficult to control traffic across interfaces Mobile Evolution 1995 2000 2005 2010 2015 Processor Single Single Single Dual-core Quad-core and beyond, auxiliary processors, sensor hubs Cellular 2G 2.5-3G 3.5G Transition 4G generation toward 4G Standard GSM GPRS HSPA HSPA, LTE LTE, LTE-A Downlink (Mb/ 0.01 0.1 1 10 100 s) Display pixels 4 16 64 256 1024 (x1000) Communicatio - - WiFi, WiFi, WiFi, Bluetooth LE, ns modules Bluetooth Bluetooth RFID Battery 1 2 3 4 5 capacity (Wh) Software (MB) 0.1 1 10 100 1000 Example Smartphone SoC Modem Subsystem Multicore Subsystem Multimedia Subsystem LTE Adreno World KRAIT CPU KRAIT CPU GPU Modem Audio, GPS,Wi-Fi, Video HW, BT,FM Accelerator L1 Cache L1 Cache s DSP DSP DSP L2 Cache Multim. -
M-Line BROCHURE
The Novasom Industries M-line was created for those advanced multimedia applications where the computing power and the presence of specific HW accelerators are needed as much as the advanced connectivity to various kinds of displays while maintaining the classic low-level industrial connectivity. Novasom Industries M11 series, based on the new Intel Apollo Lake x5 6th generation Atom CPU with Microsoft Windows 10 and UHD (4k) video capabilities, is perfect for the typical Kiosks & Digital-Signage applications. The M7 is based on the Rockchip RK3328, a 4X A53 processor and can drive UHD (4k) displays, has USB3 & 2, HDMI and supports Android OS. Complete SBC with immediate bootstrap Native Android & Linux support O.S. (M7, M8 & M9) M8 board runs Qualcomm Snapdragon 410E with Android and Windows 10 IoT and can be connected to FHD displays. Native Window 10 and Linux (M11) Embedded UPS manager with battery and Redundant The M9, based on the Rockchip RK3399 offers an android like Power Input experience and high side multimedia application with UHD, multiple video and camera input. HD Audio output and Optical SPDIF mPCIe interface slot (M9, M7 & M11) All the M-Line boards support Linux OS. Fluidity and no scratch on Heavy UHD play RASPMOOD form factor for M7, M8 and M9: dimensions, guaranteed mechanical holes, expansion pin on strip, connector Fully certified board, visit kind and position are similar to the famous Pi Family. www.novasomindustries.com for details So if you've started with a toy-board and want to use in an industrial proposal, we are ready. -
2021 TIW DRAFT AGENDA Revi
24th ITEA Test and Training Instrumentation Workshop Innovating for Tomorrow’s Challenges 5/5/21 REV I 11-May First Day – Tutorials 8:00 a.m. – 12:00 p.m. Morning Tutorials Basics of Aircraft Instrumentation Systems Bruce Johnson, NAWCAD This course will cover a wide variety of topics related to Aircraft Instrumentation. Data, Telemetry, Instrumentation System Block Diagram, Standards, Data Requirements, Transducers / Specifications, Video, 1553 Bus, Using Requirements to Configure an Analog Data Channel, Creating a PCM Map to Obtain a Sample Rate, Telemetry Bandwidth, Record Time, GPS, Audio, Telemetry Attributes Transfer Standard (TMATS), and Measurement Uncertainty - Interpreting the Results. This is great introduction for new hires or a refresher for current employees. IRIG 106-17 Chapter 7 Packet Telemetry Downlink Basis and Implementation Fundamentals Johnny Pappas, Safran Data Systems, Inc. This course will focus on presenting information to establish a basic understanding of the 2017 release of the IRIG 106, Chapter 7, Packet Telemetry Downlink Standard. It will also focus on the implementation of airborne and ground system hardware and methods to handle IRIG 106, Chapter 7, Packet Telemetry data. The presentation will address the implementation of special features necessary to support legacy RF Transmission, data recording, RF Receiving, Ground Reproduction, and Chapter 10 data processing methods. Predictive Analytics for Performance Assessment Mark J. Kiemele, Air Academy Associates Design of Experiments (DOE) is a method that can and should be used not only in the design and development of systems, but also in the modeling and validation of system performance. Building useful prediction models and then validating them can ease the burden of making procurement decisions. -
QTEE STOR, Is Shown in Figure 4
Qualcomm Snapdragon, Qualcomm Trusted Execution Environment, Qualcomm Secure Storage Solutions, Qualcomm Secure Processing Unit, Qualcomm Secure File System, and Qualcomm Fast Trusted Storage are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm and Snapdragon are trademarks of Qualcomm Incorporated, registered in the United States and other countries. Other products and brand names may be trademarks or registered trademarks of their respective owners. The contents of this document are provided on an “as-is” basis without warranty of any kind. Qualcomm Technologies, Inc. specifically disclaims the implied warranties of merchantability and fitness for a particular purpose. Qualcomm Technologies, Inc. 5775 Morehouse Drive San Diego, CA 92121 U.S.A. © 2019 Qualcomm Technologies, Inc. and/or its affiliated companies. All Rights Reserved. Overview .............................................................................................................................. 1 Acronyms ............................................................................................................................. 2 Limitation of pure software-based solutions ...................................................................... 3 Hardware building blocks .................................................................................................... 4 Qualcomm® Trusted Execution Environment ................................................................. 4 Hardware Crypto Engine ................................................................................................ -
Ict R&D 기술로드맵 2025
ICT R&D 기술로드맵 2025 ICT융합·방송·콘텐츠 ICT융합 방송·미디어 디지털콘텐츠 ICT R&D 기술로드맵 2025 ICT융합·방송·콘텐츠 ICT융합 방송·미디어 디지털콘텐츠 ICT R&D 기술로드맵 2025 ICT융합·방송·콘텐츠 Contents 01 ICT융합 분야 02 방송·미디어 분야 ● ● Ⅰ. 개념 및 범위 006 Ⅰ. 개념 및 범위 160 Ⅱ. 동향 조사 분석 018 Ⅱ. 동향 조사 분석 162 Ⅲ. 기술 발전 전망 080 Ⅲ. 기술 발전 전망 176 Ⅳ. 대상 기술 선정 096 Ⅳ. 대상 기술 선정 182 Ⅴ. 기술로드맵 124 Ⅴ. 기술로드맵 192 Ⅵ. 기술 확보 전략 130 Ⅵ. 기술 확보 전략 194 03 디지털콘텐츠 분야 ● Ⅰ. 개념 및 범위 210 Ⅱ. 동향 조사 분석 216 Ⅲ. 기술 발전 전망 236 Ⅳ. 대상 기술 선정 242 Ⅴ. 기술로드맵 248 Ⅵ. 기술 확보 전략 250 [참고] 참여 전문가 명단 258 ICT R&D 기술로드맵 2025 ICT융합·방송·콘텐츠 ICT융합 분야 006 018 Ⅰ. 개념 및 범위 Ⅱ. 동향 조사 분석 080 096 Ⅲ. 기술 발전 전망 Ⅳ. 대상 기술 선정 124 130 Ⅴ. 기술로드맵 Ⅵ. 기술 확보 전략 개념 및 범위 Ⅰ ICT R&D 기술로드맵 2025 1.개념 및 정의 ICT 융합의 개념 ICT 융합 분야는 지능정보 기술 등 다양한 ICT 기술을 융합하여 미래사회 문제에 대응하고, 全 산업의‘디지털 전환(Digital Transformation)’을 통해 사람 중심(Human Driven)의 혁신적인 新 융합기술·서비스 실현을 목표로 함 - 기존 산업구조 기반에서 마련된 현재의 기술과의 융합에서 벗어나, ICT 기술을 뒷받침하는 이론에서 파생한 새로운 융합 신기술 발굴 - 미래의 ICT 융합은‘인간을 위한’도구로서, 인간의 편리하고 안전한 삶을 지원하고, 사회 전반의 고민과 과제를 해결하는데 기여하는 사람 중심(Human-Driven)의 핵심기술로 정의함 < ICT융합분야 개념도 > 006 ICT융합 분야 Ⅰ. 개념 및 범위 2.기술분류(Technology Tree) ICT 융합기술의 응용대상 분야 ※ ICT 융합 분야 특성상 융합기술을 활용한 서비스 중점 도출이 유의미하다고 판단하여, 본 로드맵에서 기존 기술분류체계(<참고>)를 기반으로 ICT융합기술 응용 대상 분야를 아래와 같이 새로이 설정하여 이에 따른 기술을 매칭하여 활용 ‘ 혁신성장을 위한 사람 중심의「4차산업혁명 대응계획」’(`18. -
Arxiv:1910.06663V1 [Cs.PF] 15 Oct 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019 Andrey Ignatov Radu Timofte Andrei Kulik ETH Zurich ETH Zurich Google Research [email protected] [email protected] [email protected] Seungsoo Yang Ke Wang Felix Baum Max Wu Samsung, Inc. Huawei, Inc. Qualcomm, Inc. MediaTek, Inc. [email protected] [email protected] [email protected] [email protected] Lirong Xu Luc Van Gool∗ Unisoc, Inc. ETH Zurich [email protected] [email protected] Abstract compact models as they were running at best on devices with a single-core 600 MHz Arm CPU and 8-128 MB of The performance of mobile AI accelerators has been evolv- RAM. The situation changed after 2010, when mobile de- ing rapidly in the past two years, nearly doubling with each vices started to get multi-core processors, as well as power- new generation of SoCs. The current 4th generation of mo- ful GPUs, DSPs and NPUs, well suitable for machine and bile NPUs is already approaching the results of CUDA- deep learning tasks. At the same time, there was a fast de- compatible Nvidia graphics cards presented not long ago, velopment of the deep learning field, with numerous novel which together with the increased capabilities of mobile approaches and models that were achieving a fundamentally deep learning frameworks makes it possible to run com- new level of performance for many practical tasks, such as plex and deep AI models on mobile devices. In this pa- image classification, photo and speech processing, neural per, we evaluate the performance and compare the results of language understanding, etc. -
Arm-Based Computing Platform Solutions Accelerating Your Arm Project Development
Arm-based Computing Platform Solutions Accelerating Your Arm Project Development Standard Hardware Solutions AIM-Linux & AIM-Android Services Integrated Peripherals Trusty Ecosystem QT Automation SUSI API Transportation Medical MP4 BSP NFS Video Driver LOADER Acceleration Kernel Security Boot Loader Networking www.advantech.com Key Factors for Arm Business Success Advantech’s Arm computing solutions provide an open and unified development platform that minimizes effort and increases resource efficiency when deploying Arm-based embedded applications. Advantech Arm computing platforms fulfill the requirements of power- optimized mobile devices and performance-optimized applications with a broad offering of Computer-on-Modules, single board, and box computer solutions based on the latest Arm technologies. This year, Advantech’s Arm computing will roll out three new innovations to lead embedded Arm technologies into new arena: 1. The i.MX 8 series aims for next generation computing performance and targets new application markets like AI. 2. Developing a new standard: UIO20/40-Express, an expansion interface for extending various I/Os easily and quickly for different embedded applications. 3. We are announcing the Advantech AIM-Linux and AIM-Android, which provide unfiled BSP, modularized App Add-Ons, and SDKs for customers to accelerate their application development. Standardized Hardware Solutions • Computer on Module • Single Board Computer • Computer Box AIM-Linux AIM-Linux & AIM-Android • Unified Embedded Platforms AIM-Android • App Add-Ons -
Qualcomm® Snapdragon™ 429 Mobile Platform
Qualcomm® Snapdragon™ 429 Mobile Platform Snapdragon 429 Mobile Popular mobile experiences for Platform advancements mass market smartphone buyers • Snapdragon X6 LTE Modem: o LTE Advanced Carrier Aggregation Big Performance, Small Package o Up to 2x10 MHz in the downlink Snapdragon 429 is manufactured in 12 nanometers, o Support for Category 4 download speeds of engineered to deliver improved performance and big up to 150 Mbps battery savings. o Enhanced Category 5 uplink speeds up to 75 Mbps with 64-QAM support o Dual SIM Dual VoLTE (DSDV) Incredible Gaming Graphics o eMBMS With up to 50% faster graphics rendering from the previous • Qualcomm® Adreno™ 504 GPU engineered to generation, Adreno 504 GPU brings you rich, vivid gaming experiences. support stunning, life-like graphics and gaming at lower power. • Qualcomm® Hexagon™ 536 DSP provides E cient Battery Consumption battery-ecient enhancements to audio, A smaller, more ecient processor combined with Hexagon video, and computer vision use cases. DSP designed to support 25% improvement in power usage, so your device can last longer in between charges. • 12 nm process technology featuring four performance cores • Purpose-built Qualcomm® RF Front End Enhanced Camera solutions for implementing Snapdragon All Capture stunning photos on-the-go with a dual image Mode for China and emerging regions. signal processor (ISP) that support up to 16 MP single and 8+8 MP dual cameras. • Dual ISPs supporting up to 16 MP single and 8+8 MP dual cameras with enhanced auto- focus and zero shutter lag. Super-Fast Charging • AI capable, bringing on-device processing Charge your device up to 4X faster than conventional ® for enhanced features methods with Qualcomm Quick Charge™ 3.0 technology.* • Pin and soware compatible with Snapdragon 439 To learn more visit: snapdragon.com * Quick Charge is designed to allow devices to charge up to four times faster than conventional charging.