Linux Plex Media Server Cheat Sheet (26-April-2019) [email protected] No Warranty
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NVIDIA GEFORCE GT 630 Step up to Better Video, Photo, Game, and Web Performance
NVIDIA GEFORCE GT 630 Step up to better video, photo, game, and web performance. Every PC deserves dedicated graphics. The NVIDIA® GeForce® GT 630 graphics card delivers a premium multimedia experience “Sixty percent of integrated and reliable gaming—every time. Insist on NVIDIA dedicated graphics owners want dedicated graphics for the faster, more immersive performance your graphics in their next PC1”. customers want. GEFORCE GT 630 TECHNICAL SPECIFICATIONS CUDA CORES > 96 GRAPHICS CLOCK > 810 MHz PROCESSOR CLOCK > 1620 MHz Deliver more Accelerate performance by up Give customers the freedom performance—and fun— to 5x over today’s integrated to connect their PC to any MEMORY INTERFACE with amazing HD video, graphics solutions2 and provide 3D-enabled TV for a rich, > 128 Bit photo, web, and gaming. additional dedicated memory. cinematic Blu-ray 3D experience FRAME BUFFER in their homes4. > 512/1024 MB GDDR5 or 1024 MB DDR3 MICROSOFT DIRECTX > 11 BEST-IN-CLASS PERFORMANCE MICROSOFT DIRECTCOMPUTE > Yes BLU-RAY 3D4 > Yes TRUEHD AND DTS-HD AUDIO BITSTREAMING > Yes NVIDIA PHYSX™-READY > Yes MAX. ANALOG / DIGITAL RESOLUTION > 2048x1536 (analog) / 2560x1600 (digital) DISPLAY CONNECTORS > Dual Link DVI, HDMI, VGA NVIDIA GEFORCE GT 630 | SELLSHEET | MAY 12 NVIDIA® GEFORCE® GT 630 Features Benefits HD VIDEOS Get stunning picture clarity, smooth video, accurate color, and precise image scaling for movies and video with NVIDIA PureVideo® HD technology. WEB ACCELERATION Enjoy a 2x faster web experience with the latest generation of GPU-accelerated web browsers (Internet Explorer, Google Chrome, and Firefox) 5. PHOTO EDITING Perfect and share your photos in half the time with popular apps like Adobe® Photoshop® and Nik Silver EFX Pro 25. -
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. -
Nvidia User Manual Download Nvidia User Manual
Nvidia User Manual Download Nvidia User Manual See information about trademarks owned by NVIDIA CORPORATION Trademarks owned by NVIDIA Corporation | Applied Marks - Trademark, Domain Name and Social Media Protection for Brands - -\\\ Applied Marks NVIDIA G-SYNC technology Scenes appear instantly, objects look sharper, and gameplay is super smooth, giving you a stunning visual experience and a serious competitive edge Microsoft DirectX 12 Support for the latest Microsoft DirectX API to enable next-generation gaming. OpenGL 4.5 Support Supporting the latest standards in the OpenGL API. The GeForce RTX 2070 is a high-end graphics card by NVIDIA, launched in October 2018. Built on the 12 nm process, and based on the TU106 graphics processor, in its TU106-400A-A1 variant, the card supports DirectX 12 Ultimate. This ensures that all modern games will run on GeForce RTX 2070. 2 NVIDIA PureVideo Decoder User’s Guide – Version 1.02-196 CHAPTER 1 About the NVIDIA PureVideo Decoder Features • Enables DVD viewing with Microsoft® Windows Media® Player or Microsoft The NVIDIA SHIELD offers an awesome all-in-one Plex solution. Not only does it run our great Android TV app, but the device also comes with a full Plex Media Server. This isn’t a stripped-down version of the server, it’s the real deal! Downloads 141 Drivers for Nvidia NVS 310 graphics. Here's where you can download the newest software for your NVS 310. Overview. The NVIDIA ® Mellanox ® UFM ® platforms revolutionize data center networking management, by combining enhanced, real-time network telemetry with AI-powered cyber Intelligence and analytics to support scale-out InfiniBand data centers. -
Geforce® Gt 720 1Gb Gf720gt1gepb
® GEFORCE GT 720 1GB GF720GT1GEPB SPEED UP YOUR PC KEY PRODUCT SPECIFICATIONS WITH A GEFORCE GRAPHICS FEATURES ® Make your entire PC experience faster with the new • NVIDIA PureVideo® HD technology GPU GeForce GT 720 NVIDIA® GeForce® GT 720 dedicated graphics card. • NVIDIA PhysX® technology CUDA Cores 192 Enjoy performance that’s superior to integrated graphics • NVIDIA Adaptive Vertical Sync Core Speed 797 MHz in all your PC multimedia applications, including 2x • NVIDIA FXAA™ technology Memory Size 1GB DDR3 faster web browsing, 5x faster video editing, and 8x • NVIDIA 3D Vision®-ready faster photo editing. • NVIDIA CUDA® technology with Memory Interface 64-bit OpenCL™ support Memory Frequency 1,6 GBps Play modern games with advanced and reliable • OpenGL 4.4 TDP 23 Watts dedicated graphics. 70% faster performance than • Support for three concurrent Multi-Screen 3 Concurrent Screens * integrated graphics means a rich and smooth gaming displays including: Resolution 2048x1536 (Analog) experience. Plus, get the power to drive up to three HD - Dual-link DVI-D 4096×2160 (Digital) displays with a single card. - HDMI PCI Express 2.0 8x - VGA Bus Type GeForce GT means speed, stability, and industry- • Microsoft DirectX 12 API (feature EAN 3536403343941 leading NVIDIA drivers. Tap into GeForce Experience™ level 11_0) Card Dimensions 115 x 69mm to automatically get the latest drivers and optimize Low Profile game settings with a single click. 1 slot Fan Box Dimensions 337 x 177 x 83 mm MINIMUM SYSTEM REQUIREMENTS • PCI Express-compliant motherboard with one x8 graphics slot • Minimum 300 W or greater system power supply (with a minimum 12 V current rating of 20 A) • 2 GB system memory (4GB or higher recommended) • Microsoft Windows 8, Windows 7, Windows Vista or Windows Xp Operating System (32- or 64-BIT) * 4- & 3- Screen Support only in Windows 8, Windows 7 and Windows Vista. -
GPU-Based Deep Learning Inference
Whitepaper GPU-Based Deep Learning Inference: A Performance and Power Analysis November 2015 1 Contents Abstract ......................................................................................................................................................... 3 Introduction .................................................................................................................................................. 3 Inference versus Training .............................................................................................................................. 4 GPUs Excel at Neural Network Inference ..................................................................................................... 5 Inference Optimizations in Caffe and cuDNN 4 ........................................................................................ 5 Experimental Setup and Testing Methodology ........................................................................................ 7 Inference on Small and Large GPUs .......................................................................................................... 8 Conclusion ................................................................................................................................................... 10 References .................................................................................................................................................. 10 2 Abstract Deep learning methods are revolutionizing various areas of machine perception. On a -
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). -
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 -
Avpro Video Version 1.6.14 Released 23 August 2017
AVPro Video for Android, iOS, tvOS, macOS, WebGL Windows Desktop, Windows Phone and UWP Unity plugin for fast and flexible video playback Version 1.6.14 Released 23 August 2017 Contents 1. Introduction 1. Features 2. Trial Version 3. Media Credits 2. System Requirements 1. Platforms not supported 3. Installation 1. Trial Version & Watermark Notes 2. Installing Multiple Platform Packages 4. Usage Notes 1. Platform Notes 2. Video File Locations 3. Streaming Notes 4. Audio Notes 5. Augmented / Virtual Reality Notes 6. Hap Codec Notes 7. Transparency Notes 8. Hardware Decoding 9. Multi-GPU SLI / CrossFire Notes 10. Subtitle Notes 11. DRM Notes 12. Video Capture Notes 5. Quick Start Examples 1. Quick Start Fastest Start for Unity Experts 2. Quick Start Fullscreen Video Player using Prefabs 3. Quick Start 3D Mesh Video Player Example using Components 6. Usage 1. Getting Started 2. Unsupported Platform Fallback 3. Components 4. Scripting 5. Platform Specific Scripting 6. Third-party Integration 7. Asset Files 1. Demos 2. Prefabs 3. Scripts 8. Scripting Reference 9. Supported Media Formats 10. Support 11. About RenderHeads Ltd Appendix A - FAQ Appendix B - Version History Appendix C - Roadmap 2 / 87 AVPro Video © 2016-2017 RenderHeads Ltd 1. Introduction AVPro Video is the newest video playback plugin from RenderHeads. We previously developed the AVPro QuickTime and AVPro Windows Media plugins for Unity. In this next generation of plugins we aim to create an easy to use, cross-platform video playback system that uses the native features of each -
Numerical Behavior of NVIDIA Tensor Cores
Numerical behavior of NVIDIA tensor cores Massimiliano Fasi1, Nicholas J. Higham2, Mantas Mikaitis2 and Srikara Pranesh2 1 School of Science and Technology, Örebro University, Örebro, Sweden 2 Department of Mathematics, University of Manchester, Manchester, UK ABSTRACT We explore the floating-point arithmetic implemented in the NVIDIA tensor cores, which are hardware accelerators for mixed-precision matrix multiplication available on the Volta, Turing, and Ampere microarchitectures. Using Volta V100, Turing T4, and Ampere A100 graphics cards, we determine what precision is used for the intermediate results, whether subnormal numbers are supported, what rounding mode is used, in which order the operations underlying the matrix multiplication are performed, and whether partial sums are normalized. These aspects are not documented by NVIDIA, and we gain insight by running carefully designed numerical experiments on these hardware units. Knowing the answers to these questions is important if one wishes to: (1) accurately simulate NVIDIA tensor cores on conventional hardware; (2) understand the differences between results produced by code that utilizes tensor cores and code that uses only IEEE 754-compliant arithmetic operations; and (3) build custom hardware whose behavior matches that of NVIDIA tensor cores. As part of this work we provide a test suite that can be easily adapted to test newer versions of the NVIDIA tensorcoresaswellassimilaracceleratorsfromothervendors,astheybecome available. Moreover, we identify a non-monotonicity issue -
EVGA Geforce GT 730
EVGA GeForce GT 730 Part Number: 01G-P3-3736-KR Speed up your PC experience when you upgrade from integrated graphics to the new NVIDIA GeForce GT 730 dedicated card. Enjoy all your videos and pictures at HD resolutions, with faster video editing, faster photo editing, and faster web browsing compared to integrated graphics. Discover faster gaming performance than integrated graphics, making all your gameplay richer and smoother. You can even get the latest drivers and optimize game settings with a single click using GeForce Experience. The GeForce GT 730 is everything you need for a better, faster PC experience. SPECIFICATIONS KEY FEATURES REQUIREMENTS Base Clock: 700 MHZ NVIDIA PhysX technology 300 Watt or greater power supply with a Memory Clock: 3200 MHz Effective PCI Express 2.0 support minimum of 20 Amp on the +12 volt rail.**** CUDA Cores: 96 NVIDIA SMX Engine PCI Express, PCI Express 2.0 or PCI Express Bus Type: PCI-E 2.0 NVIDIA Adaptive Vertical Sync 3.0 compliant motherboard with one graphics Memory Detail: 1024MB GDDR5 Microsoft DirectX 12 API (feature level 11_0) slot. Memory Bit Width: 128 Bit Support Windows 8 32/64bit, Windows 7 32/64bit, Windows Vista 32/64bit, Windows XP 32/64bit Memory Bandwidth: 51.2 GB/s NVIDIA 3D Vision Ready*** NVIDIA CUDA Technology DIMENSIONS OpenGL 4.4 Support OpenCL Support Height: 4.376in - 111.15mm NVIDIA FXAA Technology Length: 6.096in - 154.84mm NVIDIA TXAA Technology NVIDIA PureVideo HD Technology **Support for HDMI includes GPU-accelerated Blu-ray 3D support (Blu-ray 3D playback requires the purchase of a compatible software player from CyberLink, ArcSoft, Corel, or Sonic), x.v.Color, HDMI Deep Color, and 7.1 digital surround sound. -
Manycore GPU Architectures and Programming, Part 1
Lecture 19: Manycore GPU Architectures and Programming, Part 1 Concurrent and Mul=core Programming CSE 436/536, [email protected] www.secs.oakland.edu/~yan 1 Topics (Part 2) • Parallel architectures and hardware – Parallel computer architectures – Memory hierarchy and cache coherency • Manycore GPU architectures and programming – GPUs architectures – CUDA programming – Introduc?on to offloading model in OpenMP and OpenACC • Programming on large scale systems (Chapter 6) – MPI (point to point and collec=ves) – Introduc?on to PGAS languages, UPC and Chapel • Parallel algorithms (Chapter 8,9 &10) – Dense matrix, and sorng 2 Manycore GPU Architectures and Programming: Outline • Introduc?on – GPU architectures, GPGPUs, and CUDA • GPU Execuon model • CUDA Programming model • Working with Memory in CUDA – Global memory, shared and constant memory • Streams and concurrency • CUDA instruc?on intrinsic and library • Performance, profiling, debugging, and error handling • Direc?ve-based high-level programming model – OpenACC and OpenMP 3 Computer Graphics GPU: Graphics Processing Unit 4 Graphics Processing Unit (GPU) Image: h[p://www.ntu.edu.sg/home/ehchua/programming/opengl/CG_BasicsTheory.html 5 Graphics Processing Unit (GPU) • Enriching user visual experience • Delivering energy-efficient compung • Unlocking poten?als of complex apps • Enabling Deeper scien?fic discovery 6 What is GPU Today? • It is a processor op?mized for 2D/3D graphics, video, visual compu?ng, and display. • It is highly parallel, highly multhreaded mulprocessor op?mized for visual -
GPU Technology Conference 2010 Sessions on 2095
GPU Technology Conference 2010 Sessions on Video Processing (subject to change) IMPORTANT: Visit www.nvidia.com/gtc for the most up-to-date schedule and to enroll into sessions to ensure your spot in the most popular courses. 2095 - Building High Density Real-Time Video Processing Systems Learn how GPU Direct can be used to effectively build real time, high performance, cost effective video processing products. We will focus especially on how to optimize bus throughput while keeping CPU load and latency minimal. Speaker: Ronny Dewaele, Barco Topics: Video Processing, Imaging Time: Thursday, September, 23rd, 16:00 - 16:50 2029 - Computer Vision Algorithms for Automating HD Post- Production Discover how post-production tasks can be accelerated by taking advantage of GPU-based algorithms. In this talk we present computer vision algorithms for corner detection, feature point tracking, image warping and image inpainting, and their efficient implementation on GPUs using CUDA. We also show how to use these algorithms to do real-time stabilization and temporal re-sampling (re-timing) of high definition video sequences, both common tasks in post-production. Benchmarking of the GPU implementations against optimized CPU algorithms demonstrates a speedup of approximately an order of magnitude. Speaker: Hannes Fassold, JOANNEUM RESEARCH Topics: Computer Vision, Video Processing Time: Wednesday, September, 22nd, 15:00 - 15:50 2125 - Developing GPU Enabled Visual Effects For Film And Video 1 The arrival of fully programable GPUs is now changing the visual effects industry, which traditionally relied on CPU computation to create their spectacular imagery. Implementing the complex image processing algorithms used by VFX is a challenge, but the payoffs in terms of interactivity and throughput can be enormous.