Intel® Embedded Graphics Drivers, EFI Video Driver, and Video BIOS
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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. -
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. -
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. -
Enabling Hardware Accelerated Video Decode on Intel® Atom™ Processor D2000 and N2000 Series Under Fedora 16
Enabling Hardware Accelerated Video Decode on Intel® Atom™ Processor D2000 and N2000 Series under Fedora 16 Application Note October 2012 Order Number: 509577-003US INFORMATIONLegal Lines and Disclaimers IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL'S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. A “Mission Critical Application” is any application in which failure of the Intel Product could result, directly or indirectly, in personal injury or death. SHOULD YOU PURCHASE OR USE INTEL'S PRODUCTS FOR ANY SUCH MISSION CRITICAL APPLICATION, YOU SHALL INDEMNIFY AND HOLD INTEL AND ITS SUBSIDIARIES, SUBCONTRACTORS AND AFFILIATES, AND THE DIRECTORS, OFFICERS, AND EMPLOYEES OF EACH, HARMLESS AGAINST ALL CLAIMS COSTS, DAMAGES, AND EXPENSES AND REASONABLE ATTORNEYS' FEES ARISING OUT OF, DIRECTLY OR INDIRECTLY, ANY CLAIM OF PRODUCT LIABILITY, PERSONAL INJURY, OR DEATH ARISING IN ANY WAY OUT OF SUCH MISSION CRITICAL APPLICATION, WHETHER OR NOT INTEL OR ITS SUBCONTRACTOR WAS NEGLIGENT IN THE DESIGN, MANUFACTURE, OR WARNING OF THE INTEL PRODUCT OR ANY OF ITS PARTS. Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked “reserved” or “undefined”. -
Moore's Law Motivation
Motivation: Moore’s Law • Every two years: – Double the number of transistors CprE 488 – Embedded Systems Design – Build higher performance general-purpose processors Lecture 8 – Hardware Acceleration • Make the transistors available to the masses • Increase performance (1.8×↑) Joseph Zambreno • Lower the cost of computing (1.8×↓) Electrical and Computer Engineering Iowa State University • Sounds great, what’s the catch? www.ece.iastate.edu/~zambreno rcl.ece.iastate.edu Gordon Moore First, solve the problem. Then, write the code. – John Johnson Zambreno, Spring 2017 © ISU CprE 488 (Hardware Acceleration) Lect-08.2 Motivation: Moore’s Law (cont.) Motivation: Dennard Scaling • The “catch” – powering the transistors without • As transistors get smaller their power density stays melting the chip! constant 10,000,000,000 2,200,000,000 Transistor: 2D Voltage-Controlled Switch 1,000,000,000 Chip Transistor Dimensions 100,000,000 Count Voltage 10,000,000 ×0.7 1,000,000 Doping Concentrations 100,000 Robert Dennard 10,000 2300 Area 0.5×↓ 1,000 130W 100 Capacitance 0.7×↓ 10 0.5W 1 Frequency 1.4×↑ 0 Power = Capacitance × Frequency × Voltage2 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 Power 0.5×↓ Zambreno, Spring 2017 © ISU CprE 488 (Hardware Acceleration) Lect-08.3 Zambreno, Spring 2017 © ISU CprE 488 (Hardware Acceleration) Lect-08.4 Motivation Dennard Scaling (cont.) Motivation: Dark Silicon • In mid 2000s, Dennard scaling “broke” • Dark silicon – the fraction of transistors that need to be powered off at all times (due to power + thermal -
Use of Hardware Acceleration on PC As of March, 2020
Use of hardware acceleration on PC As of March, 2020 When displaying images of the camera using hardware acceleration of the PC, required the specifications of PC as folow. "The PC is equipped with specific hardware (CPU*1, GPU, etc.), and device drivers corresponding to those hardware are installed properly." ® *1: The CPU of the PC must support QSV(Intel Quick Sync Video). This information provides test results conducted under our environment and does not guarantee under all conditions. Please note that we used Internet Explorer for downloading at the following description and its procedures may differ if you use another browser software. Images may not be displayed, may be delayed or some of the images may be corrupted as follow, depends on usage conditions, performance and network environment of the PC. - When multiple windows are opened and operated on the PC - When sufficient bandwidth cannot be secured in your network environment - When the network driver of your computer is old (the latest version is recommended) *When the image is not displayed or the image is distorted, it may be improved by refreshing the browser. Applicable models: i-PRO EXTREME series models*2 (H.265/H.264 compatible models and H.265 compatible models) , i-PRO SmartHD series models*2 (H.264 compatible models) *2: You can find if it supports hardware acceleration by existence a setting item of [Drawing method] and [Decoding Options] in [Viewer software (nwcv4Ssetup.exe/ nwcv5Ssetup.exe)] of the setting menu of the camera. Items of the function that utilize PC hardware acceleration (Click the items as follow to go to each setting procedures.) 1.About checking if it supports "QSV" 2. -
NVIDIA Ampere GA102 GPU Architecture Whitepaper
NVIDIA AMPERE GA102 GPU ARCHITECTURE Second-Generation RTX Updated with NVIDIA RTX A6000 and NVIDIA A40 Information V2.0 Table of Contents Introduction 5 GA102 Key Features 7 2x FP32 Processing 7 Second-Generation RT Core 7 Third-Generation Tensor Cores 8 GDDR6X and GDDR6 Memory 8 Third-Generation NVLink® 8 PCIe Gen 4 9 Ampere GPU Architecture In-Depth 10 GPC, TPC, and SM High-Level Architecture 10 ROP Optimizations 11 GA10x SM Architecture 11 2x FP32 Throughput 12 Larger and Faster Unified Shared Memory and L1 Data Cache 13 Performance Per Watt 16 Second-Generation Ray Tracing Engine in GA10x GPUs 17 Ampere Architecture RTX Processors in Action 19 GA10x GPU Hardware Acceleration for Ray-Traced Motion Blur 20 Third-Generation Tensor Cores in GA10x GPUs 24 Comparison of Turing vs GA10x GPU Tensor Cores 24 NVIDIA Ampere Architecture Tensor Cores Support New DL Data Types 26 Fine-Grained Structured Sparsity 26 NVIDIA DLSS 8K 28 GDDR6X Memory 30 RTX IO 32 Introducing NVIDIA RTX IO 33 How NVIDIA RTX IO Works 34 Display and Video Engine 38 DisplayPort 1.4a with DSC 1.2a 38 HDMI 2.1 with DSC 1.2a 38 Fifth Generation NVDEC - Hardware-Accelerated Video Decoding 39 AV1 Hardware Decode 40 Seventh Generation NVENC - Hardware-Accelerated Video Encoding 40 NVIDIA Ampere GA102 GPU Architecture ii Conclusion 42 Appendix A - Additional GeForce GA10x GPU Specifications 44 GeForce RTX 3090 44 GeForce RTX 3070 46 Appendix B - New Memory Error Detection and Replay (EDR) Technology 49 Appendix C - RTX A6000 GPU Perf ormance 50 List of Figures Figure 1. -
Research Into Computer Hardware Acceleration of Data Reduction and SVMS
University of Rhode Island DigitalCommons@URI Open Access Dissertations 2016 Research Into Computer Hardware Acceleration of Data Reduction and SVMS Jason Kane University of Rhode Island, [email protected] Follow this and additional works at: https://digitalcommons.uri.edu/oa_diss Recommended Citation Kane, Jason, "Research Into Computer Hardware Acceleration of Data Reduction and SVMS" (2016). Open Access Dissertations. Paper 428. https://digitalcommons.uri.edu/oa_diss/428 This Dissertation is brought to you for free and open access by DigitalCommons@URI. It has been accepted for inclusion in Open Access Dissertations by an authorized administrator of DigitalCommons@URI. For more information, please contact [email protected]. RESEARCH INTO COMPUTER HARDWARE ACCELERATION OF DATA REDUCTION AND SVMS BY JASON KANE A DISSERTATION SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN COMPUTER ENGINEERING UNIVERSITY OF RHODE ISLAND 2016 DOCTOR OF PHILOSOPHY DISSERTATION OF JASON KANE APPROVED: Dissertation Committee: Major Professor Qing Yang Haibo He Joan Peckham Nasser H. Zawia DEAN OF THE GRADUATE SCHOOL UNIVERSITY OF RHODE ISLAND 2016 ABSTRACT Yearly increases in computer performance have diminished as of late, mostly due to the inability of transistors, the building blocks of computers, to deliver the same rate of performance seen in the 1980’s and 90’s. Shifting away from traditional CPU design, accelerator architectures have been shown to offer a potentially untapped solution. These architectures implement unique, custom hardware to increase the speed of certain tasking, such as graphics processing. The studies undertaken for this dissertation examine the ability of unique accelerator hardware to provide improved power and speed performance over traditional means, with an emphasis on classification tasking. -
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.