Processing Multimedia Workloads on Heterogeneous Multicore Architectures
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Intel® Quick Sync Video Technology Guide
WP80 Superguide 3: THE CLOUD VIDEO SUPERGUIDE JANUARY/FEBRUARY 2015 SPONSORED CONTENT Intel® Quick Sync Video Technology and Intel® Xeon® Processor Based Servers— Flexible Transcode Performance and Quality Video transcoding involves converting provides enterprise-quality HEVC and and boost image quality. Some key one compressed video format to audio codecs, Intel® VTune™ Amplifier improvements include the following: another. In the past this process has XE performance analysis tools and Video • Additional JPEG/MJPEG decode in been a compute-intensive task which Quality Caliper stream quality analyzer. the multi-format codec engine. This demanded a large amount of precious Additionally, product family members, support is on top of existing energy- CPU resources. Intel® Quick Synch Video Intel® Video Pro Analyzer and Intel® efficient, high-performance AVC (QSV) can enable hardware-accelerated Stress Bitstreams and Encoder bundles encode/decode that sustains multiple transcoding to deliver better performance enable production–scale validation and 4K and Ultra HD video streams. than transcoding on the CPU without debug of encode, transcode, and decode • A dedicated new video quality engine sacrificing quality. and playback applications. to provide extensive video processing First introduced in 2011, Intel Quick Intel Media Server Studio SDK at low power consumption Sync technology is available in the Intel® implements many codec and tools • Programmable and media-optimized Xeon® Processor E3-1200 v3 with Intel components initially in software, and EU (execution units)/samplers for HD Graphics P4600/4700 and Iris™ Pro later as hybrid (software and hardware) high quality P5200. (From here on, we’ll simply refer to or entirely in hardware. -
Copyright by Jian He 2020 the Dissertation Committee for Jian He Certifies That This Is the Approved Version of the Following Dissertation
Copyright by Jian He 2020 The Dissertation Committee for Jian He certifies that this is the approved version of the following dissertation: Empowering Video Applications for Mobile Devices Committee: Lili Qiu, Supervisor Mohamed G. Gouda Aloysius Mok Xiaoqing Zhu Empowering Video Applications for Mobile Devices by Jian He DISSERTATION Presented to the Faculty of the Graduate School of The University of Texas at Austin in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY THE UNIVERSITY OF TEXAS AT AUSTIN May 2020 Acknowledgments First and foremost, I want to thank my advisor Prof. Lili Qiu, for the support and guidance I have received over the past few years. I appreciate all her contributions of time, ideas and funding to make my Ph.D. experience productive and stimulating. The enthusiasm she has for her research signifi- cantly motivated to concentrate on my research especially during tough times in my Ph.D. pursuit. She taught me how to crystallize ideas into solid and fancy research works. I definitely believe that working with her will help me have a more successful career in the future. I also want to thank all the members in my dissertation committee, Prof. Mohamed G. Gouda, Prof. Aloysius Mok and Dr. Xiaoqing Zhu. I owe many thanks to them for their insightful comments on my dissertation. I was very fortunate to collaborate with Wenguang Mao, Mubashir Qureshi, Ghufran Baig, Zaiwei Zhang, Yuchen Cui, Sangki Yun, Zhaoyuan He, Chenxi Yang, Wangyang Li and Yichao Chen on many interesting works. They always had time and passion to devote to my research projects. -
GPU Developments 2018
GPU Developments 2018 2018 GPU Developments 2018 © Copyright Jon Peddie Research 2019. All rights reserved. Reproduction in whole or in part is prohibited without written permission from Jon Peddie Research. This report is the property of Jon Peddie Research (JPR) and made available to a restricted number of clients only upon these terms and conditions. Agreement not to copy or disclose. This report and all future reports or other materials provided by JPR pursuant to this subscription (collectively, “Reports”) are protected by: (i) federal copyright, pursuant to the Copyright Act of 1976; and (ii) the nondisclosure provisions set forth immediately following. License, exclusive use, and agreement not to disclose. Reports are the trade secret property exclusively of JPR and are made available to a restricted number of clients, for their exclusive use and only upon the following terms and conditions. JPR grants site-wide license to read and utilize the information in the Reports, exclusively to the initial subscriber to the Reports, its subsidiaries, divisions, and employees (collectively, “Subscriber”). The Reports shall, at all times, be treated by Subscriber as proprietary and confidential documents, for internal use only. Subscriber agrees that it will not reproduce for or share any of the material in the Reports (“Material”) with any entity or individual other than Subscriber (“Shared Third Party”) (collectively, “Share” or “Sharing”), without the advance written permission of JPR. Subscriber shall be liable for any breach of this agreement and shall be subject to cancellation of its subscription to Reports. Without limiting this liability, Subscriber shall be liable for any damages suffered by JPR as a result of any Sharing of any Material, without advance written permission of JPR. -
Keepixo’S Genova Live:Speed Is the Latest Addition to Genova Virtualizable Software Family of Products
High Density Video Transcoding Keepixo’s Genova Live:Speed is the latest addition to Genova Virtualizable Software family of products. It runs on the Kontron SYMKLOUD platform and leverages Intel’s Quick Sync Video (QSV) technology to dramatically increase transcoding density; minimize power consumption while meeting professional service grade levels. Media Processing Acceleration Genova Live:Speed The explosive growth of Internet video traffic has put Keepixo worked with Kontron to leverage the Kontron pressure on video transcoding infrastructures to SYMKLOUD Converged Infrastructure platform and optimize bandwidth, power consumption and cost of developed a comprehensive package that optimizes the operations. High density transcoding solutions such as performance of QSV and allows smooth deployment of Intel’s Quick Sync Video technology have emerged to highly dense transcoding infrastructures comprising of address these challenges. They introduce various levels hundreds of services. of HW acceleration to off-load computationally intensive tasks. Initially targeted at consumer Keepixo selected the Kontron SymKloud MS2910 applications, high density transcoding has become a platform to implement its high density transcoding viable option for professional transcoding solution. The MS2910 platform comes in a 2U (21” infrastructures when included in suitable packages that depth) chassis, dual hot-swappable 10GbE switches, address the requirements of professional applications. and can accommodate up to 9 modular compute servers, each hosting 2 independent CPUs for a total of Intel Quick Sync Video (QSV) is available on a range of up to 18 CPUs per chassis. The SymKloud compute Intel i7 and Xeon E3 processors fitted with on-chip nodes can be of different mix-and-match processor graphics. -
Rethinking Visual Cloud Workload Distribution
WHITE PAPER Media and Communications Content Creation and Distribution RethinkingVisualCloud WorkloadDistribution Creating a New Model With visual computing workloads growing at an accelerating pace, cloud service providers (CSPs), communications service providers (CoSPs), and enterprises are rethinking the physical and virtual distribution of compute resources to more effectively balance cost and deployment efficiency while achieving exceptional performance. Visual cloud deployments accommodate a diverse range of streaming workloads, encompassing media processing and delivery, cloud graphics, cloud gaming, media analytics, and immersive media. Contending with the onslaught of new visual workloads will require more nimble, scalable, virtualized infrastructures; the capability of shifting workloads to the network edge when appropriate; and a collection of tools, software, and hardware components to support individual use cases fluidly. Advanced network technologies and cloud architectures are essential for agile distribution of visual cloud workloads. A 2017 report, Cisco Visual Networking Index: Forecast and Methodology, 2016–2021, projected strong growth in all Internet and managed IP video- related sectors. Compound annual growth rate (CAGR) figures during this time span, calculated in petabytes per month, included these predictions: • Content delivery network (CDN) traffic: 44 percent increase globally • Consumer-managed IP video traffic: 19,619 petabytes per month (14 percent increase) by 2021 • Consumer Internet video: 27 percent increase for fixed, 55 percent increase for mobile The impact of this media growth on cloud-based data centers will produce a burden on those CSPs, CoSPs, and enterprises that are not equipped to deal with TableofContents large-scale media workloads dynamically. Solutions to this challenge include: Creating a New Model . 1 • Increasingflexibilityandoptimizingprocessing: Virtualization and software- defined infrastructure (SDI) make it easier to balance workloads on available OpenSourceSoftware resources. -
Transcoding SDK Combine Your Encoding Presets Into a Single Tool
DATASHEET | Page 1 Transcoding SDK Combine your encoding presets into a single tool MainConcept Transcoding SDK is an all-in-one production tool offering HOW DOES IT WORK? developers the ability to manage multiple codecs and parameters in one • Transcoding SDK works as an place. This streamlined SDK supports the latest encoders and decoders additional layer above MainConcept from MainConcept, including HEVC/H.265, AVC/H.264, DVCPRO, and codecs. MPEG-2. The transcoder generates compliant streams across different • The easy-to-use API replaces the devices, media types, and camcorder formats, and includes support for need to set conversion parameters MPEG-DASH and Apple HLS adaptive bitstream formats. Compliance manually by allowing you to configure ensures content is delivered that meets each unique specification. the encoders with predefined profiles, letting the transcoding engine take Transcoding SDK was created to simplify the workflow for developers care of the rest. who frequently move between codecs and output to a multitude of • If needed, manual control of the configurations. conversion process is supported, including source/target destinations, export presets, transcoding, and filter AVAILABLE PACKAGES parameters. HEVC/H.265 HEVC/H.265 encoder for creating HLS, DASH-265, and other ENCODER PACKAGE generic 8-bit/10-bit 4:2:0 and 4:2:2 streams in ES, MP4 and TS file formats. Includes hardware encoding support using Intel Quick KEY FEATURES Sync Video (IQSV) and NVIDIA NVENC (including Hybrid GPU) for Windows and Linux. • Integrated SDKs for fast deployment HEVC/H.265 SABET HEVC/H.265 encoder package plus Smart Adaptive Bitrate Encod- of transcoding tools ENCODER PACKAGE ing Technology (SABET). -
Intel® Quick Sync Video and Ffmpeg Installation and Validation Guide
White paper Intel® Quick Sync Video and FFmpeg Installation and Validation Guide Introduction Intel® Quick Sync Video technology on Intel® Iris™ Pro Graphics and Intel® HD graphics provides transcode acceleration on Linux* systems in FFmpeg* 2.8 and later editions. This paper is a detailed step-by-step guide to enabling h264_qsv, mpeg2_qsv, and hevc_qsv hardware accelerated codecs in the FFmpeg framework. For a quicker overview, please see this article. Performance note: The *_qsv implementations are intended to provide easy access to Intel hardware capabilities for FFmpeg users, but are less efficient than custom applications optimized for Intel® Media Server Studio. Document note: Monospace type = command line inputs/outputs. Pink = highlights to call special attention to important command line I/O details. Getting Started 1. Install Intel Media Server Studio for Linux. Download from software.intel.com/intel-media-server- studio. This is a prerequisite for the *_qsv codecs as it provides the foundation for encode acceleration. See the next chapter for more info on edition choices. Note: Professional edition install is required for hevc_qsv. 2. Get the latest FFmpeg source from https://www.FFmpeg.org/download.html. Intel Quick Sync Video support is available in FFmpeg 2.8 and later editions. The install steps outlined below were verified with ffmpeg release 3.2.2 3. Configure FFmpeg with “--enable –libmfx –enable-nonfree”, build, and install. This requires copying include files to /opt/intel/mediasdk/include/mfx and adding a libmfx.pc file. More details below. 4. Test transcode with an accelerated codec such as “-vcodec h264_qsv” on the FFmpeg command line. -
MSI Afterburner V4.6.4
MSI Afterburner v4.6.4 MSI Afterburner is ultimate graphics card utility, co-developed by MSI and RivaTuner teams. Please visit https://msi.com/page/afterburner to get more information about the product and download new versions SYSTEM REQUIREMENTS: ...................................................................................................................................... 3 FEATURES: ............................................................................................................................................................. 3 KNOWN LIMITATIONS:........................................................................................................................................... 4 REVISION HISTORY: ................................................................................................................................................ 5 VERSION 4.6.4 .............................................................................................................................................................. 5 VERSION 4.6.3 (PUBLISHED ON 03.03.2021) .................................................................................................................... 5 VERSION 4.6.2 (PUBLISHED ON 29.10.2019) .................................................................................................................... 6 VERSION 4.6.1 (PUBLISHED ON 21.04.2019) .................................................................................................................... 7 VERSION 4.6.0 (PUBLISHED ON -
System Design for Telecommunication Gateways
P1: OTE/OTE/SPH P2: OTE FM BLBK307-Bachmutsky August 30, 2010 15:13 Printer Name: Yet to Come SYSTEM DESIGN FOR TELECOMMUNICATION GATEWAYS Alexander Bachmutsky Nokia Siemens Networks, USA A John Wiley and Sons, Ltd., Publication P1: OTE/OTE/SPH P2: OTE FM BLBK307-Bachmutsky August 30, 2010 15:13 Printer Name: Yet to Come P1: OTE/OTE/SPH P2: OTE FM BLBK307-Bachmutsky August 30, 2010 15:13 Printer Name: Yet to Come SYSTEM DESIGN FOR TELECOMMUNICATION GATEWAYS P1: OTE/OTE/SPH P2: OTE FM BLBK307-Bachmutsky August 30, 2010 15:13 Printer Name: Yet to Come P1: OTE/OTE/SPH P2: OTE FM BLBK307-Bachmutsky August 30, 2010 15:13 Printer Name: Yet to Come SYSTEM DESIGN FOR TELECOMMUNICATION GATEWAYS Alexander Bachmutsky Nokia Siemens Networks, USA A John Wiley and Sons, Ltd., Publication P1: OTE/OTE/SPH P2: OTE FM BLBK307-Bachmutsky August 30, 2010 15:13 Printer Name: Yet to Come This edition first published 2011 C 2011 John Wiley & Sons, Ltd Registered office John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com. The right of the author to be identified as the author of this work has been asserted in accordance with the Copyright, Designs and Patents Act 1988. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by the UK Copyright, Designs and Patents Act 1988, without the prior permission of the publisher. -
H P Intel® Quick Sync Video Tec Nology on Intel® Iris™ Graphics
WHITE PAPER Intel Quick Sync Video Intel® Quick Sync Video Tech n ology on Intel® Iris™ Graphics and Intel® HD Grap h ics family—Flexible Transcode Performance an d Quality The 4th generation Intel® Core™ Processor introduces Intel® Iris™ Pro Graphics, Intel® Iris™ Graphics and Intel® HD Graphics (4200+ Series), featuring the newest iteration of Intel® Quick Sync Video technology. In addition, Intel Quick Sync technology is also available in the Intel Xeon® Processor E3-1200 v3 product family with Intel HD Graphics P4600/P4700. For the purposes of this whitepaper, we will refer simply to Intel Quick Sync technology. This advanced graphics solution sets a milestone in performance by delivering a blazingly fast transcode experience, and balances image quality and performance through a series of optimized user targets for easy adoption. This paper explains the changes in Intel Quick Sync Video transcode target usages, describes the new high-performance hardware acceleration engine, and sets performance and quality expectations for each target usage. Introduction In the past, transcoding has been a Video transcoding involves converting one compute-intensive task that demanded a compressed video format to another. The large amount of precious CPU resources. process can apply changes to the format, With multiple cores and more powerful such as moving from MPEG2 to H.264, or processors driving today’s systems, transcoding can change the properties of transcoding happens faster, and is a given format, like bit rate or resolution. commonly used to support the format Conversions cannot generally happen in a requirements of a whole range of video single step; rather, a series of transitions consumption devices. -
Mechdyne-TGX-2.1-Installation-Guide
TGX Install Guide Version 2.1.3 Mechdyne Corporation March 2021 TGX INSTALL GUIDE VERSION 2.1.3 Copyright© 2021 Mechdyne Corporation All Rights Reserved. Purchasers of TGX licenses are given limited permission to reproduce this manual, provided the copies are for their use only and are not sold or distributed to third parties. All such copies must contain the title page and this notice page in their entirety. The TGX software program and accompanying documentation described herein are sold under license agreement. Their use, duplication, and disclosure are subject to the restrictions stated in the license agreement. Consistent with FAR 12.211 and 12.212, Commercial Computer Software, Computer Software Documentation, and Technical Data for Commercial Items are licensed to the U.S. Government under vendor's standard commercial license. This publication is provided “as is” without warranty of any kind, either express or implied, including, but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non- infringement. Any Mechdyne Corporation publication may include inaccuracies or typographical errors. Changes are periodically made to these publications, and changes may be incorporated in new editions. Mechdyne may improve or change its products described in any publication at any time without notice. Mechdyne assumes no responsibility for and disclaims all liability for any errors or omissions in this publication. Some jurisdictions do not allow the exclusion of implied warranties, so the above exclusion may not apply. TGX is a trademark of Mechdyne Corporation. Windows® is registered trademarks of Microsoft Corporation. Linux® is registered trademark of Linus Torvalds. -
NVIDIA GRID™ Virtual PC and Virtual Apps
NVIDIA VIRTUAL PC AND VIRTUAL APPS GPU-ACCELERATED PERFORMANCE FOR THE VIRTUAL ENTERPRISE Desktop virtualization has been around for many Reason 1: Flexible Workers Require a years, but some organizations still struggle to Seamless Experience deliver a user experience that stands up to what As organizations form return to work plans, workers have enjoyed on physical PCs. Remote it is clear that remote work will be part of the offices, virtual collaboration, and fast access long term solution. By allowing employees to seamlessly transition between the office and to information, coupled with the rising use of home, organizations are adopting the flexible modern, graphics-intensive applications, make office model. User experience has become more GPUs more relevant than ever. important than ever. Video collaboration, as well as simple productivity applications found in Microsoft NVIDIA® Virtual PC (vPC) and Virtual Apps (vApps) Windows 10 (Win 10), Office 365, web browsers, and improve virtual desktops and applications for streaming video can benefit from GPU acceleration. every user, with proven performance built on NVIDIA GPUs for exceptional productivity, security, and IT manageability. The virtualization software divides NVIDIA GPU resources, so the GPU can be 82% of organizations shared across multiple virtual machines running have the option of any application. working remotely. Here are three powerful reasons to deploy vPC and vApps in your data center. Traditional desktop and laptop PCs boost application performance with embedded or integrated GPUs. NVIDIA VIRTUAL PC AND VIRTUAL APPS | SOlutiON OvERVIEW | SEP21 However, when making the transition from physical to Reason 3: There Are More Users to Support virtual, IT has traditionally left the computer graphics Than Ever Before burden—such as from DirectX and OpenGL workloads Today’s virtual desktops and applications require and video streaming—to be handled by a server CPU.