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Master-Seminar: Hochleistungsrechner - Aktuelle Trends Und Entwicklungen Aktuelle GPU-Generationen (Nvidia Volta, AMD Vega)
Master-Seminar: Hochleistungsrechner - Aktuelle Trends und Entwicklungen Aktuelle GPU-Generationen (NVidia Volta, AMD Vega) Stephan Breimair Technische Universitat¨ Munchen¨ 23.01.2017 Abstract 1 Einleitung GPGPU - General Purpose Computation on Graphics Grafikbeschleuniger existieren bereits seit Mitte der Processing Unit, ist eine Entwicklung von Graphical 1980er Jahre, wobei der Begriff GPU“, im Sinne der ” Processing Units (GPUs) und stellt den aktuellen Trend hier beschriebenen Graphical Processing Unit (GPU) bei NVidia und AMD GPUs dar. [1], 1999 von NVidia mit deren Geforce-256-Serie ein- Deshalb wird in dieser Arbeit gezeigt, dass sich GPUs gefuhrt¨ wurde. im Laufe der Zeit sehr stark differenziert haben. Im strengen Sinne sind damit Prozessoren gemeint, die Wahrend¨ auf technischer Seite die Anzahl der Transis- die Berechnung von Grafiken ubernehmen¨ und diese in toren stark zugenommen hat, werden auf der Software- der Regel an ein optisches Ausgabegerat¨ ubergeben.¨ Der Seite mit neueren GPU-Generationen immer neuere und Aufgabenbereich hat sich seit der Einfuhrung¨ von GPUs umfangreichere Programmierschnittstellen unterstutzt.¨ aber deutlich erweitert, denn spatestens¨ seit 2008 mit dem Erscheinen von NVidias GeForce 8“-Serie ist die Damit wandelten sich einfache Grafikbeschleuniger zu ” multifunktionalen GPGPUs. Die neuen Architekturen Programmierung solcher GPUs bei NVidia uber¨ CUDA NVidia Volta und AMD Vega folgen diesem Trend (Compute Unified Device Architecture) moglich.¨ und nutzen beide aktuelle Technologien, wie schnel- Da die Bedeutung von GPUs in den verschiedensten len Speicher, und bieten dadurch beide erhohte¨ An- Anwendungsgebieten, wie zum Beispiel im Automobil- wendungsleistung. Bei der Programmierung fur¨ heu- sektor, zunehmend an Bedeutung gewinnen, untersucht tige GPUs wird in solche fur¨ herkommliche¨ Grafi- diese Arbeit aktuelle GPU-Generationen, gibt aber auch kanwendungen und allgemeine Anwendungen differen- einen Ruckblick,¨ der diese aktuelle Generation mit vor- ziert. -
Download Amd Radeon Hd 8350 Driver Download Amd Radeon Hd 8350 Driver
download amd radeon hd 8350 driver Download amd radeon hd 8350 driver. You can get the basic Radeon HD 8350 drivers through %%os%%, or by conducting a Windows® update. While these Graphics Card drivers are basic, they support the primary hardware functions. Here is a full guide on manually updating these AMD device drivers. Optional Offer for DriverDoc by Solvusoft | EULA | Privacy Policy | Terms | Uninstall. Update Radeon HD 8350 Drivers Automatically: Recommendation: If you are a novice computer user with no experience updating drivers, we recommend using DriverDoc [Download DriverDoc - Product by Solvusoft] to help you update your AMD Graphics Card driver. DriverDoc takes away the hassle and headaches of making sure you are downloading and installing the correct HD 8350's drivers for your operating system. In addition, DriverDoc not only ensures your Graphics Card drivers stay updated, but with a database of over 2,150,000 drivers (database updated daily), it keeps all of your other PC's drivers updated as well. Optional Offer for DriverDoc by Solvusoft | EULA | Privacy Policy | Terms | Uninstall. HD 8350 Update FAQ. Can You Describe the Benefits of HD 8350 Driver Updates? Updated drivers can unlock Graphics Card features, increase PC performance, and maximize your hardware's potential. Risks of installing the wrong HD 8350 drivers can lead to system crashes, decreased performance, and overall instability. When Do I Update HD 8350 Drivers? For optimal HD 8350 hardware performance, you should update your device drivers once every few months. How Do I Download HD 8350 Drivers? Manual updates for advanced PC users can be carried out with Device Manager, while novice computer users can update Radeon HD 8350 drivers automatically with a driver update utility. -
Cenník Komponentov
Cenník komponentov Predajňa: A. Hlinku 20, 971 01 Prievidza Platný od 03.05.2005 - zmena cien vyhradená Tel.: 046-5427050, e-mail: [email protected] Otvorené: Po – Pi od 8.00 do 18.00, So od 9.00 do 13.00 Servis: M. Mišíka 38, 971 01 Prievidza tel./fax: 046-5425111, e-mail: [email protected] Otvorené: Po – Pi od 8.00 do 16.00 !!! informujte sa na aktuálne ceny a na dostupnosť výrobkov !!! Cena Kód tovaru Názov tovaru bez DPH Popis Záruka Skl. Pocitacove zostavy a notebooky Desktop MB FOXCONN-K8S755M-6LRS, HDD 80GB/8MB, DVDRW, VGA ATI Radeon 9550 128MB TVO AGP 8x, zvuk onbard 5.1, LAN, 6x USB 2.0, FDD 1.44 MB, miditower ATX 350W black, klávesnica black, opt. myš DP-A-MM001 PC4U-A AMD SE3,0G/256M/80G/DVDRW/FX5600/SB ### 14 795,00 24 Mesiace ü MB FOXCONN-K8S755M-6LRS, HDD 80GB/8MB, DVDRW, VGA ATI Radeon 9550 128MB TVO AGP 8x, zvuk onbard 5.1, LAN, 6x USB 2.0, FDD 1.44 MB, miditower ATX 350W black, klávesnica black, opt. myš DP-A-MM009 PC4U-A AMD A64 3,0G,512M,80GB,DVDRW,R9550,SB,LAN ### 17 369,00 24 Mesiace ü INTELCeleron 1800 MHz, zákl. doska FOXCONN, 256MB DDRAM, HDD 40GB, CD 52x, VGA + zvuk onboard, DP-INT1,8-INTEGRA-RW PC4U-I Intel C1.8GHz/256MB/VGAonB/40GB/CDRW ### 8 569,00 LAN,FDD 1.44 MB, midi ATX 300W, klávesnica, optická myš 24 Mesiace ű MB FOXCONN 845GV4MR-ES, 256MB DDRAM, HDD 40GB/7200, VGA + zvuk onboard, LAN, 4xUSB, FDD 1.44 MB, mini ATX 300W,klávesnica,opt. -
Radeon® X1550 Series User’S Guide P/N 137-71102-10 Ii
Radeon® X1550 Series User’s Guide P/N 137-71102-10 ii Copyright © 2006, ATI Technologies Inc. All rights reserved. ATI, the ATI logo, and ATI product and product-feature names are trademarks and/or registered trademarks of ATI Technologies Inc. All other company and/or product names are trademarks and/or registered trademarks of their respective owners. Features, performance and specifications are subject to change without notice. Product may not be exactly as shown in diagrams. Reproduction of this manual, or parts thereof, in any form, without the express written permission of ATI Technologies Inc. is strictly prohibited. Disclaimer While every precaution has been taken in the preparation of this document, ATI Technologies Inc. assumes no liability with respect to the operation or use of ATI hardware, software or other products and documentation described herein, for any act or omission of ATI concerning such products or this documentation, for any interruption of service, loss or interruption of business, loss of anticipatory profits, or for punitive, incidental or consequential damages in connection with the furnishing, performance, or use of the ATI hardware, software, or other products and documentation provided herein. ATI Technologies Inc. reserves the right to make changes without further notice to a product or system described herein to improve reliability, function or design. With respect to ATI products which this document relates, ATI disclaims all express or implied warranties regarding such products, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, and non- infringement. Macrovision Apparatus Claims of U.S. Patent Nos. -
AMD's Graphics Core Next (GCN) Architecture
AMD’s Graphics Core Next (GCN) Architecture Tony Chen Jason Greaves Overview ● Terascale ○ Limitation ● GCN architecture ○ Revisions ■ Features/Updates ● Mantle Terascale ● ~2006 - 2011 ● VLIW SIMD (Very Long Instruction Word Single Instruction Multiple Data) ● Meant to compete with Nvidia’s Tesla line ● Ranged from the Radeon HD 2000 - 6000 series graphics cards ● Found in some of the early APUs ● VLIW4 ● One SIMD engine o 16 shader processor . 4 ALUs each o 64 ALUs per SIMD engine The problem ● Terascale’s VLIW architecture o Very good for graphics instructions o compiler optimized for dot product math . cannot change the wavefront (instruction set) queue once it has been scheduled o High instruction level parallelism o Specialized hardware design . Double edge sword . Not good for general computing . Cannot continue until a dependency has been resolved http://www.tomshardware.com/reviews/radeon- hd-7970-benchmark-tahiti-gcn,3104-2.html GCN architecture ● Released early 2012 (announced late 2011) ● Select Radeon HD 7000s, 8000s, and Rx 200 series ● 28nm technology TSMC ● RISC SIMD (Reduced instruction set computing Single Instruction Multiple Data) ● Designed for general computing GCN Compute Unit ● Compute Unit (CU) o 4 vector units . 16 ALUs each . Scheduler ● Independent ● Can avoid dependencies o 64 ALUs per CU GCN Architecture ● HyperZ ● GCN 1.0 o PowerTune o ZeroCore power ● GCN 1.1 ● GCN 1.2 HyperZ ● November 2000 ● developed by ATI (Array Technologies Inc) ● Processing technique for Z-buffering o Algorithm to determine which depth to use for a single pixel space o About ~50% of bandwidth used for Z-Buffer read/write ● Boost memory bandwidth / Improves efficiency o Compresses data (lossless format) to minimize bandwidth for reads and writes o Tags blocks of data instead of writing individual bits o Compares pixels before rendering to save bandwidth ● Updates over time(ex:HyperZ II, HyperZ HD) GCN 1.0 ● Supports 64 bit addressing ● Backwards compatible with 16 and 32 bit ● Unified virtual memory between CPU and GPU o Zero copy . -
Hardware Architectures for Point-Based Graphics
Diss. ETH No. 19248 Hardware Architectures for Point-Based Graphics A dissertation submitted to ETH Zurich for the Degree of Doctor of Sciences presented by Simon Heinzle Dipl. Informatik-Ing., ETH Zurich, Switzerland born 12 October 1981 citizen of Austria accepted on the recommendation of Prof. Dr. Markus Gross, examiner Prof. Dr. Andreas Peter Burg, co-examiner Prof. Dr. Philipp Slusallek, co-examiner 2010 ii Abstract Point-based geometries have emerged as interesting and valuable alternative to triangles and polygons. Points as graphics primitives are conceptually more simple and provide superior flexibility, especially for objects with high geometric and appearance detail. However, triangles are still the most prominent primitive in computer graphics. One reason is the limited support for point-based graphics in modern graphics accelerators, which have been optimized for triangles as rendering primitives. In this thesis, we analyze the fundamental differences between triangle-based graphics and point-based graphics for hardware acceleration and identify the limitations and bottlenecks of current graphics processors (GPUs). We then develop new algorithms and hardware architectures for point-based graphics to augment and extend todays graphics processors. More specifically, we develop a novel point rendering algorithm based on el- liptical weighted average (EWA) splatting. We extend the theoretical basis of EWA splatting into the time dimension to incorporate motion-blur for point-based rendering. We present a GPU implementation and analyze the differences and bottlenecks of current hardware architectures. Based on the previous analysis, we present a streamlined EWA splatting algorithm for static scenes and develop a novel hardware architecture for the acceleration of point rendering. -
Porovnání Vhodných Grafických Enginů Pro Interaktivní Vozidlové Simulátory
ČESKÉ VYSOKÉ UČENÍ TECHNICKÉ V PRAZE FAKULTA DOPRAVNÍ Jakub Culek POROVNÁNÍ VHODNÝCH GRAFICKÝCH ENGINŮ PRO INTERAKTIVNÍ VOZIDLOVÉ SIMULÁTORY Bakalářská práce 2015 1 Poděkování Na tomto místě bych rád poděkoval všem, kteří mi poskytli podklady pro vypracování této práce. Zvlástě pak děkuji doc. Ing. Petru Bouchnerovi Ph.D. za odborné vedení a konzultování bakalářské práce a za rady, které mi poskytoval po celou dobu mého studia a dále bych chtěl poděkovat svým rodičům a blízkým za morální a materiální podporu, které se mi dostávalo po celou dobu studia. Prohlášení Předkládám tímto k posouzení a obhajobě bakalářskou práci, zpracovanou na závěr studia na ČVUT v Praze Fakultě dopravní. Prohlašuji, že jsem předloženou práci vypracoval samostatně a že jsem uvedl veškeré informační zdroje v souladu s Metodickým pokynem etické přípravě vysokoškolských závěrečných prací. Nemám závažný důvod proti užití tohoto školního díla ve smyslu § 60 Zákona č. 121/2000 Sb, o právu autorském, o právech souvisejících s právem autorským a o změně některých zákonů (autorský zákon). V Praze dne 30. listopadu 2015 ………………………… podpis 1 ČESKÉ VYSOKÉ UČENÍ TECHNICKÉ V PRAZE Fakulta dopravní POROVNÁNÍ VHODNÝCH GRAFICKÝCH ENGINŮ PRO INTERAKTIVNÍ VOZIDLOVÉ SIMULÁTORY bakalářská práce listopad 2015 Jakub Culek ABSTRAKT Předmětem bakalářské práce „Porovnání vhodných grafických enginů pro interaktivní vozidlové simulátory“ je zmapování historického vývoje a současných technologií v oblasti herních enginů. V první části této práce je popsán vývoj počítačové grafiky a princip fungování grafických karet. Dále jsou zde uvedeny technologie tvorby a vylepšování obrazu. Druhá část práce je zaměřena na popis funkcí a vlastností herních enginů. V závěrečné části je uvedeno několik příkladů konkrétních enginů a jejich analýza. -
Exploring Compression in the Gpu Memory Hierarchy for Graphics and Compute
EXPLORING COMPRESSION IN THE GPU MEMORY HIERARCHY FOR GRAPHICS AND COMPUTE A Dissertation Presented by Akshay Lahiry to The Department of Electrical and Computer Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Engineering Northeastern University Boston, Massachusetts August 2018 i Contents List of Figures iv List of Tables vi Abstract of the Dissertation vii 1 Introduction 1 1.1 Compressed Cache Architecture . 5 1.2 Compression Algorithms . 6 2 Background 8 2.1 GPU Memory Hierarchy . 8 2.2 Compression Algorithms . 11 2.3 Compressed Cache Architecture . 18 2.3.1 Smart Caches . 25 2.4 DRAM Efficiency . 26 3 Framework and Metrics 30 4 Results 37 4.1 Dual Dictionary Compressor . 38 4.1.1 Cache Architecture . 38 4.1.2 Dictionary Structure . 39 4.1.3 Dictionary Index Swap . 41 4.1.4 Dictionary Replacement . 42 4.1.5 DDC Performance . 43 4.1.6 Summary . 43 4.2 Compression Aware Victim Cache . 45 4.2.1 Design Challenges . 47 4.2.2 Results . 49 4.2.3 Summary . 49 4.3 Smart Cache Controller . 50 4.3.1 Smart Compression . 54 4.3.2 Smart Decompression . 54 ii 4.3.3 Smart Prefetch . 55 4.3.4 Summary . 59 5 Compression on Graphics Hardware 60 5.1 Geometry Compression . 62 5.2 Texture Compression . 63 5.3 Depth and Color Compression . 64 5.4 Compute Workloads . 65 5.5 Key Observations . 68 6 Conclusion 70 Bibliography 73 iii List of Figures 1.1 Total number of pixels for common display resolutions. -
Proceedings of the 3Rd Seminar on HPC Systems: Current Trends and Developments
Technical University of Munich Ludwig-Maximilians-University Munich Proceedings of the 3rd Seminar on HPC Systems: Current Trends and Developments Winter Semester 2017/2018 January 30-31 Frauenchiemsee, Germany Eds.: Karl Fürlinger, Josef Weidendorfer, Carsten Trinitis, Dai Yang TUM University Library Proceedings of the 3rd Seminar on HPC Systems: Current Trends and Developments Winter Semester 2017/2018 Editors: Karl Fürlinger, Ludwig-Maximilians-University Munich Carsten Trinitis, Technical University of Munich Josef Weidendorfer, Technical University of Munich Dai Yang, Technical University of Munich Cataloging-in-Publication Data Seminar High Performance Computing: Current Trends and Developments Proceedings of the 3rd Seminar on HPC Systems: Current Trends and Developments WS2017/2018 30-31.01.2018 Frauenchiemsee & Munich, Germany DOI: 10.14459/2018md1430700 Published by TUM University Library Copyright remains with authors. © 2018 Chair of Computer Architecture, Technical University of Munich © 2018 Munich Network Management Team, Ludwig-Maximilians-University Munich Seminar: HPC Trends and Developments 2 DOI: 10.14459/2018md1430700 Preface The hardware and software requirements for High Performance Computing (HPC) Systems is demanding and versatile. Due to its large scale, even the smallest improvement in efficiency and performance may have great impact on these systems, which eventually leads to higher cost efficiency. Therefore, cutting-edge technologies are often deployed rapidly on HPC- Systems. This unique character challenges users and programmers of HPC-systems: how can these new functionalities be efficiently used? In the joint seminar “High Performance Computing: Current Trends and Developments” students worked on recent publications and research in HPC technologies. New developments and trends in both hardware and software have been discovered and discussed.