Whitepaper NVIDIA Tegra 4 Family
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Neon Caves - Coming Soon to Nintendo Switch
Neon Caves - Coming Soon to Nintendo Switch. FOR IMMEDIATE RELEASE Bristol, United Kingdom, Wednesday 13th March, 2019 – Force Of Habit have announced today their endless arcade-retro shooter game Neon Caves will be coming exclusively to Nintendo Switch with a brand new trailer. View it on YouTube: https://www.youtube.com/watch?v=zm7VSlFmiJE Release Date: 27th March 2019 Pre-purchase Date (EU/AU): 15th March 2019 Pre-purchase Date (NA): 20th March 2019 Price: £3.99 / $3.99 / €3.99 Pre-purchase Price: 25% off! Neon Caves is an experimental offshoot of our debut Nintendo Switch title, Toast Time: Smash Up!, with graphics by Terra Lauterbach (@rotten_tater) and music by Joe Williamson (@joecreates). To Fnd out more information about the game, including screenshots, promo codes, development videos, visit the Press Kit or alternatively Fre an email to: [email protected] Game Description: Explore the Neon Caves, a fragile ecosystem lost to the world for centuries. Recently rediscovered by your research team, use your ship's anchor ability and elite implements to stabilise the cave while keeping the hostile inhabitants at bay. Features: * Endless arcade-action gameplay. How long can you survive? * 9 unique enemy types: including historically accurate giant crustaceans! * 4 awesome power-ups: rapid Fre, bombs, invincibility and ghost ship! * 28 Achievements * Nintendo Switch exclusive Online Leaderboards Quotes: • “An eclectic mix of retro shooter and modern twin-stick shooters. The game has an achievement called 'Nic Cage'. Just remember that.” - TwinFnite • “If you’re looking for an awesome new shooter with a killer art style and a bit of depth, you’ll deFnitely want to check out Neon Caves." - Super Game Droid • “Tricky to get the hang of, but it’s fun. -
Blast Off Broken Sword
ALL FORMATS LIFTING THE LID ON VIDEO GAMES Broken Sword blast off Revolution’s fight Create a jetpack in for survival Unreal Engine 4 Issue 15 £3 wfmag.cc TEARAWAYS joyful nostalgia and comic adventure in knights and bikes UPGRADE TO LEGENDARY AG273QCX 2560x1440 A Call For Unionisation hat’s the first thing that comes to mind we’re going to get industry-wide change is collectively, when you think of the games industry by working together to make all companies improve. and its working conditions? So what does collective action look like? It’s workers W Is it something that benefits workers, getting together within their companies to figure out or is it something that benefits the companies? what they want their workplace to be like. It’s workers When I first started working in the games industry, AUSTIN within a region deciding what their slice of the games the way I was treated wasn’t often something I thought KELMORE industry should be like. And it’s game workers uniting about. I was making games and living the dream! Austin Kelmore is across the world to push for the games industry to But after twelve years in the industry and a lot of a programmer and become what we know it can be: an industry that horrible experiences, it’s now hard for me to stop the Chair of Game welcomes everyone, treats its workers well, and thinking about our industry’s working conditions. Workers Unite UK, allows us to make the games we all love. That’s what a a branch of the It’s not a surprise anymore when news comes out Independent Workers unionised games industry would look like. -
Notes Du Mont Royal ←
Notes du mont Royal www.notesdumontroyal.com 쐰 Cette œuvre est hébergée sur « No- tes du mont Royal » dans le cadre d’un exposé gratuit sur la littérature. SOURCE DES IMAGES Google Livres OMHPOY HOIHMATA. do...- HOMERI CARMINA. UNIE"!!! Hum DIDOT PRAIRIES, "A JACOB, 56. OMHPOY HOIHMATA KAI TA TOY KYKAOY AEIWANA. HOMERI CARMINA ET CYCLI EPICI RELIQUIÆ. ---n---- GRÆCE ET LATINE CUM INDICE NOMINUM ET BERUM. PARISIIS, EDITORE AMBROS. FIRMIN DIDOT, INST llllllllllllllllll M DCCC XXXVHL 604562 PRÆFATIO. [nounou nostrum, quo primi in Gallia Græcos scriptores in unius corporis æquabilitatem redigere aggressi sumus, commendatione et nolis præfationum artibus egere non videtur; sed paucis dicendum est. unde en quam elegimus edendi ratio pendent. Dudum ægre tuleramus quod tot scriptorum editiones veteribus inquinatæ vitiis vulgo circum- ferpentur atque adeo sæpius repeterentur, dum exstarent commdem scriptorum emendatæ et a summis criticis autiquo nitori restitutæ: armon oportuit illorum ingeniorum, qua: optimi quique nostratium laudibuset imitatione celebrarunt, opera popularibus nostris exliiberi pure, emendata, quantum fieri potest libera a depravatione barbaria- quam transierant? Hoc igitur primum et præcipue curamus, ut non solum ex optimis quœ exstant editionibus scriptorum quisque expri- matur, au] harum etiam multas criticis celeberrimis tradidimus denuo examinandas et emendandas; præterea, ubicumque res videtur postu- lare, Regiæ Bihliothecæ manuscriptos imus consultum. Altera cura est, ut ad intelligentiam quoque scriptorum in Collectione nostra præste- mus quod prosit unicuique: quum enim adnotatio vel præstantissimn ex arbitrio denique pendeat commentatoris, cui plana nonnunquam videbuntur quæ aliis ohscura, lhterlnefationes lutinas e regione grac- corum panera decrevimus, utpote quæ prorsus omuia reddaut, non locos selectos illustrent. H33 vero, antequam tradantur typothetis, doctissimi viri severo examini subjectas accurate corrigunt; nonuullo- mm scriptorum plane novæ parantur. -
Graphics Card Support List
Graphics card support list Device Name Chipset ASUS GTXTITAN-6GD5 NVIDIA GeForce GTX TITAN ZOTAC GTX980 NVIDIA GeForce GTX980 ASUS GTX980-4GD5 NVIDIA GeForce GTX980 MSI GTX980-4GD5 NVIDIA GeForce GTX980 Gigabyte GV-N980D5-4GD-B NVIDIA GeForce GTX980 MSI GTX970 GAMING 4G GOLDEN EDITION NVIDIA GeForce GTX970 Gigabyte GV-N970IXOC-4GD NVIDIA GeForce GTX970 ASUS GTX780TI-3GD5 NVIDIA GeForce GTX780Ti ASUS GTX770-DC2OC-2GD5 NVIDIA GeForce GTX770 ASUS GTX760-DC2OC-2GD5 NVIDIA GeForce GTX760 ASUS GTX750TI-OC-2GD5 NVIDIA GeForce GTX750Ti ASUS ENGTX560-Ti-DCII/2D1-1GD5/1G NVIDIA GeForce GTX560Ti Gigabyte GV-NTITAN-6GD-B NVIDIA GeForce GTX TITAN Gigabyte GV-N78TWF3-3GD NVIDIA GeForce GTX780Ti Gigabyte GV-N780WF3-3GD NVIDIA GeForce GTX780 Gigabyte GV-N760OC-4GD NVIDIA GeForce GTX760 Gigabyte GV-N75TOC-2GI NVIDIA GeForce GTX750Ti MSI NTITAN-6GD5 NVIDIA GeForce GTX TITAN MSI GTX 780Ti 3GD5 NVIDIA GeForce GTX780Ti MSI N780-3GD5 NVIDIA GeForce GTX780 MSI N770-2GD5/OC NVIDIA GeForce GTX770 MSI N760-2GD5 NVIDIA GeForce GTX760 MSI N750 TF 1GD5/OC NVIDIA GeForce GTX750 MSI GTX680-2GB/DDR5 NVIDIA GeForce GTX680 MSI N660Ti-PE-2GD5-OC/2G-DDR5 NVIDIA GeForce GTX660Ti MSI N680GTX Twin Frozr 2GD5/OC NVIDIA GeForce GTX680 GIGABYTE GV-N670OC-2GD NVIDIA GeForce GTX670 GIGABYTE GV-N650OC-1GI/1G-DDR5 NVIDIA GeForce GTX650 GIGABYTE GV-N590D5-3GD-B NVIDIA GeForce GTX590 MSI N580GTX-M2D15D5/1.5G NVIDIA GeForce GTX580 MSI N465GTX-M2D1G-B NVIDIA GeForce GTX465 LEADTEK GTX275/896M-DDR3 NVIDIA GeForce GTX275 LEADTEK PX8800 GTX TDH NVIDIA GeForce 8800GTX GIGABYTE GV-N26-896H-B -
NVIDIA Quadro RTX for V-Ray Next
NVIDIA QUADRO RTX V-RAY NEXT GPU Image courtesy of © Dabarti Studio, rendered with V-Ray GPU Quadro RTX Accelerates V-Ray Next GPU Rendering Solutions for V-Ray Next GPU V-Ray Next GPU taps into the power of NVIDIA® Quadro® NVIDIA Quadro® provides a wide range of RTX-enabled RTX™ to speed up production rendering with dedicated RT solutions for desktop, mobile, server-based rendering, and Cores for ray tracing and Tensor Cores for AI-accelerated virtual workstations with NVIDIA Quadro Virtual Data denoising.¹ With up to 18X faster rendering than CPU-based Center Workstation (Quadro vDWS) software.2 With up to 96 solutions and enhanced performance with NVIDIA NVLink™, gigabytes (GB) of GPU memory available,3 Quadro RTX V-Ray Next GPU with RTX support provides incredible provides the power you need for the largest professional performance improvements for your rendering workloads. graphics and rendering workloads. “ Accelerating artist productivity is always our top Benchmark: V-Ray Next GPU Rendering Performance Increase on Quadro RTX GPUs priority, so we’re quick to take advantage of the latest ray-tracing hardware breakthroughs. By Quadro RTX 6000 x2 1885 ™ Quadro RTX 6000 104 supporting NVIDIA RTX in V-Ray GPU, we’re Quadro RTX 4000 783 bringing our customers an exciting new boost in PU 1 0 2 4 6 8 10 12 14 16 18 20 their GPU production rendering speeds.” Relatve Performance – Phillip Miller, Vice President, Product Management, Chaos Group Desktop performance Tests run on 1x Xeon old 6154 3 Hz (37 Hz Turbo), 64 B DDR4 RAM Wn10x64 Drver verson 44128 Performance results may vary dependng on the scene NVIDIA Quadro professional graphics solutions are verified and recommended for the most demanding projects by Chaos Group. -
NVIDIA Launches Tegra X1 Mobile Super Chip
NVIDIA Launches Tegra X1 Mobile Super Chip Maxwell GPU Architecture Delivers First Teraflops Mobile Processor, Powering Deep Learning and Computer Vision Applications NVIDIA today unveiled Tegra® X1, its next-generation mobile super chip with over one teraflops of processing power – delivering capabilities that open the door to unprecedented graphics and sophisticated deep learning and computer vision applications. Tegra X1 is built on the same NVIDIA Maxwell™ GPU architecture rolled out only months ago for the world's top-performing gaming graphics card, the GeForce® GTX 980. The 256-core Tegra X1 provides twice the performance of its predecessor, the Tegra K1, which is based on the previous-generation Kepler™ architecture and debuted at last year's Consumer Electronics Show. Tegra processors are built for embedded products, mobile devices, autonomous machines and automotive applications. Tegra X1 will begin appearing in the first half of the year. It will be featured in the newly announced NVIDIA DRIVE™ car computers. DRIVE PX is an auto-pilot computing platform that can process video from up to 12 onboard cameras to run capabilities providing Surround-Vision, for a seamless 360-degree view around the car, and Auto-Valet, for true self-parking. DRIVE CX is a complete cockpit platform designed to power the advanced graphics required across the increasing number of screens used for digital clusters, infotainment, head-up displays, virtual mirrors and rear-seat entertainment. "We see a future of autonomous cars, robots and drones that see and learn, with seeming intelligence that is hard to imagine," said Jen-Hsun Huang, CEO and co-founder, NVIDIA. -
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 -
Video Games Review DRAFT5-16
Video Games: History, Technology, Industry, and Research Agendas Table of Contents I. Overview ....................................................................................................................... 1 II. Video Game History .................................................................................................. 7 III. Academic Approaches to Video Games ................................................................. 9 1) Game Studies ....................................................................................................................... 9 2) Video Game Taxonomy .................................................................................................... 11 IV. Current Status ........................................................................................................ 12 1) Arcade Games ................................................................................................................... 12 2) Console Games .................................................................................................................. 13 3) PC Standalone Games ...................................................................................................... 14 4) Online Games .................................................................................................................... 15 5) Mobile Games .................................................................................................................... 16 V. Recent Trends .......................................................................................................... -
Nvidia Cuda Getting Started Guide for Linux
NVIDIA CUDA GETTING STARTED GUIDE FOR LINUX DU-05347-001_v7.0 | March 2015 Installation and Verification on Linux Systems TABLE OF CONTENTS Chapter 1. Introduction.........................................................................................1 1.1. System Requirements.................................................................................... 1 1.1.1. x86 32-bit Support.................................................................................. 2 1.2. About This Document.................................................................................... 3 Chapter 2. Pre-installation Actions...........................................................................4 2.1. Verify You Have a CUDA-Capable GPU................................................................ 4 2.2. Verify You Have a Supported Version of Linux.......................................................4 2.3. Verify the System Has gcc Installed................................................................... 5 2.4. Choose an Installation Method......................................................................... 5 2.5. Download the NVIDIA CUDA Toolkit....................................................................6 2.6. Handle Conflicting Installation Methods.............................................................. 6 Chapter 3. Package Manager Installation....................................................................8 3.1. Overview.................................................................................................. -
Cuda C Programming Guide
CUDA C PROGRAMMING GUIDE PG-02829-001_v10.0 | October 2018 Design Guide CHANGES FROM VERSION 9.0 ‣ Documented restriction that operator-overloads cannot be __global__ functions in Operator Function. ‣ Removed guidance to break 8-byte shuffles into two 4-byte instructions. 8-byte shuffle variants are provided since CUDA 9.0. See Warp Shuffle Functions. ‣ Passing __restrict__ references to __global__ functions is now supported. Updated comment in __global__ functions and function templates. ‣ Documented CUDA_ENABLE_CRC_CHECK in CUDA Environment Variables. ‣ Warp matrix functions now support matrix products with m=32, n=8, k=16 and m=8, n=32, k=16 in addition to m=n=k=16. www.nvidia.com CUDA C Programming Guide PG-02829-001_v10.0 | ii TABLE OF CONTENTS Chapter 1. Introduction.........................................................................................1 1.1. From Graphics Processing to General Purpose Parallel Computing............................... 1 1.2. CUDA®: A General-Purpose Parallel Computing Platform and Programming Model.............3 1.3. A Scalable Programming Model.........................................................................4 1.4. Document Structure...................................................................................... 5 Chapter 2. Programming Model............................................................................... 7 2.1. Kernels......................................................................................................7 2.2. Thread Hierarchy........................................................................................ -
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. -
Geforce® Gtx 680 2Gb Vcggtx680xpb
FILENAME: PNY-GeForce-GTX-680-2GB MODIFIED: April 25, 2013 12:02 PM GEFORCE® GTX 680 2GB VCGGTX680XPB Game-Changing Innovation PRODUCT SPECIFICATIONS: PRODUCT SPECIFICATIONS The GeForce® GTX 680 delivers more than just state-of-the-art features and technology. It gives you truly GPU GeForce® GTX 680 ® gaming-changing performance that taps into the power next generation GeForce Kepler-architecture to CUDA Cores 1536 redefine smooth, seamless, lifelike gaming. NVIDIA GPU Boost technology that dynamically maximize clock speeds to push performance to the new levels and bring out the best in every game. Ultra-smooth Core Speed 1006 MHz gaming with exciting new NVIDIA Adaptive V-Sync technology. Boost Speed 1058 MHz Memory Size 2048 MB GDDR5 PACKAGE INCLUDES REQUIREMENTS Memory • GeForce® GTX 680 2GB graphics card • PCI Express compliant motherboard with one 256 bit Interface • Quick Installation Guide dual-width x16 graphics slot • Installation DVD, which includes: • Two 6-pin PCI Express supplementary Memory 6.0 Gbps Detailed installation guide power connectors Frequency ® - NVIDIA Graphics Drivers • Minimum 550W or greater system power supply TDP 195W-Active - NVIDIA® GeForce® Demos (with a minimum 12V current rating of 38A) - PhysX™ System Software • 300 MB of available hard-disk space 2GB SLI 3-Way SLI • DVI-to-VGA adapter system memory (2GB or higher recommended) 4 Concurrent Screens*** Multi-Screen • 6-pin PCIe to Molex Power Adapter • Microsoft Windows 7, Windows Vista, or NVIDIA 3D Surround* Windows XP Operating System (32 or 64-bit)