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Physx As a Middleware for Dynamic Simulations in the Container Loading Problem
Proceedings of the 2018 Winter Simulation Conference M. Rabe, A.A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson, eds. PHYSX AS A MIDDLEWARE FOR DYNAMIC SIMULATIONS IN THE CONTAINER LOADING PROBLEM Juan C. Martínez-Franco David Álvarez-Martínez Department of Mechanical Engineering Department of Industrial Engineering Universidad de Los Andes Universidad de Los Andes Carrera 1 Este No. 19A – 40 Carrera 1 Este No. 19A – 40 Bogotá, 11711, COLOMBIA Bogotá, 11711, COLOMBIA ABSTRACT The Container Loading Problem (CLP) is an optimization challenge where the constraint of dynamic stability plays a significant role. The evaluation of dynamic stability requires the use of dynamic simulations that are carried out either with dedicated simulation software that produces very small errors at the expense of simulation speed, or real-time physics engines that complete simulations in a very short time at the cost of repeatability. One such engine, PhysX, is evaluated to determine the feasibility of its integration with the open source application PackageCargo. A simulation tool based on PhysX is proposed and compared with the dynamic simulation environment of Autodesk Inventor to verify its reliability. The simulation tool presents a dynamically accurate representation of the physical phenomena experienced by cargo during transportation, making it a viable option for the evaluation of dynamic stability in solutions to the CLP. 1 INTRODUCTION The Container Loading Problem (CLP) consists of the geometric arrangement of small rectangular items (cargo) into a larger rectangular space (container), but it is not a simple geometry problem. The arrangements of cargo must maximize volume utilization while complying with certain constraints such as cargo fragility, delivery order, etc. -
Adaptive Bitrate Streaming in Cloud Gaming Lambert Wang Worcester Polytechnic Institute
CORE Metadata, citation and similar papers at core.ac.uk Provided by DigitalCommons@WPI Worcester Polytechnic Institute Digital WPI Major Qualifying Projects (All Years) Major Qualifying Projects March 2017 Adaptive Bitrate Streaming in Cloud Gaming Lambert Wang Worcester Polytechnic Institute Matthew aJ mes Suarez Worcester Polytechnic Institute Robyn Angela Domanico Worcester Polytechnic Institute Follow this and additional works at: https://digitalcommons.wpi.edu/mqp-all Repository Citation Wang, L., Suarez, M. J., & Domanico, R. A. (2017). Adaptive Bitrate Streaming in Cloud Gaming. Retrieved from https://digitalcommons.wpi.edu/mqp-all/431 This Unrestricted is brought to you for free and open access by the Major Qualifying Projects at Digital WPI. It has been accepted for inclusion in Major Qualifying Projects (All Years) by an authorized administrator of Digital WPI. For more information, please contact [email protected]. Adaptive Bitrate Streaming in Cloud Gaming A Major Qualifying Project submitted to the Faculty of Worcester Polytechnic Institute in partial fulfillment of the requirements for the Degree in Bachelor of Science Robyn Domanico Matt Suarez Lambert Wang frdomanico, mjsuarez, [email protected] Advised by Mark Claypool [email protected] March 19, 2017 1 Abstract Cloud gaming streams games as video from a server directly to a client device making it susceptible to network congestion. Adaptive bitrate streaming estimates the bottleneck capacity of a network and sets appropriate encoding parameters to avoid exceeding the bandwidth of the connection. BBR is a congestion control algorithm as an alternative to current loss-based congestion control. We designed and implemented a bitrate adaptation heuristic based on BBR into GamingAnywhere, an open source cloud gaming platform. -
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. -
Adding RTX Acceleration to Iray with Optix 7
Adding RTX acceleration to Iray with OptiX 7 Lutz Kettner Director Advanced Rendering and Materials July 30th, SIGGRAPH 2019 What is Iray? Production Rendering on CUDA In Production since > 10 Years Bring ray tracing based production / simulation quality rendering to GPUs New paradigm: Push Button rendering (open up new markets) Plugins for 3ds Max Maya Rhino SketchUp … 2 SIMULATION QUALITY 3 iray legacy ARTISTIC FREEDOM 4 How Does it Work? 99% physically based Path Tracing To guarantee simulation quality and Push Button • Limit shortcuts and good enough hacks to minimum • Brute force (spectral) simulation no intermediate filtering scale over multiple GPUs and hosts even in interactive use GTC 2014 19 VCA * 8 Q6000 GPUs 5 How Does it Work? 99% physically based Path Tracing To guarantee simulation quality and Push Button • Limit shortcuts and good enough hacks to minimum • Brute force (spectral) simulation no intermediate filtering scale over multiple GPUs and hosts even in interactive use • Two-way path tracing from camera and (opt.) lights 6 How Does it Work? 99% physically based Path Tracing To guarantee simulation quality and Push Button • Limit shortcuts and good enough hacks to minimum • Brute force (spectral) simulation no intermediate filtering scale over multiple GPUs and hosts even in interactive use • Two-way path tracing from camera and (opt.) lights • Use NVIDIA Material Definition Language (MDL) 7 How Does it Work? 99% physically based Path Tracing To guarantee simulation quality and Push Button • Limit shortcuts and good -
Nvidia Video Codec Sdk - Encoder
NVIDIA VIDEO CODEC SDK - ENCODER Application Note vNVENC_DA-6209-001_v14 | July 2021 Table of Contents Chapter 1. NVIDIA Hardware Video Encoder.......................................................................1 1.1. Introduction............................................................................................................................... 1 1.2. NVENC Capabilities...................................................................................................................1 1.3. NVENC Licensing Policy...........................................................................................................3 1.4. NVENC Performance................................................................................................................ 3 1.5. Programming NVENC...............................................................................................................5 1.6. FFmpeg Support....................................................................................................................... 5 NVIDIA VIDEO CODEC SDK - ENCODER vNVENC_DA-6209-001_v14 | ii Chapter 1. NVIDIA Hardware Video Encoder 1.1. Introduction NVIDIA GPUs - beginning with the Kepler generation - contain a hardware-based encoder (referred to as NVENC in this document) which provides fully accelerated hardware-based video encoding and is independent of graphics/CUDA cores. With end-to-end encoding offloaded to NVENC, the graphics/CUDA cores and the CPU cores are free for other operations. For example, in a game recording scenario, -
The Growing Importance of Ray Tracing Due to Gpus
NVIDIA Application Acceleration Engines advancing interactive realism & development speed July 2010 NVIDIA Application Acceleration Engines A family of highly optimized software modules, enabling software developers to supercharge applications with high performance capabilities that exploit NVIDIA GPUs. Easy to acquire, license and deploy (most being free) Valuable features and superior performance can be quickly added App’s stay pace with GPU advancements (via API abstraction) NVIDIA Application Acceleration Engines PhysX physics & dynamics engine breathing life into real-time 3D; Apex enabling 3D animators CgFX programmable shading engine enhancing realism across platforms and hardware SceniX scene management engine the basis of a real-time 3D system CompleX scene scaling engine giving a broader/faster view on massive data OptiX ray tracing engine making ray tracing ultra fast to execute and develop iray physically correct, photorealistic renderer, from mental images making photorealism easy to add and produce © 2010 Application Acceleration Engines PhysX • Streamlines the adoption of latest GPU capabilities, physics & dynamics getting cutting-edge features into applications ASAP, CgFX exploiting the full power of larger and multiple GPUs programmable shading • Gaining adoption by key ISVs in major markets: SceniX scene • Oil & Gas Statoil, Open Inventor management • Design Autodesk, Dassault Systems CompleX • Styling Autodesk, Bunkspeed, RTT, ICIDO scene scaling • Digital Content Creation Autodesk OptiX ray tracing • Medical Imaging N.I.H iray photoreal rendering © 2010 Accelerating Application Development App Example: Auto Styling App Example: Seismic Interpretation 1. Establish the Scene 1. Establish the Scene = SceniX = SceniX 2. Maximize interactive 2. Maximize data visualization quality + quad buffered stereo + CgFX + OptiX + volume rendering + ambient occlusion 3. -
NVIDIA Physx SDK EULA
NVIDIA CORPORATION NVIDIA® PHYSX® SDK END USER LICENSE AGREEMENT Welcome to the new world of reality gaming brought to you by PhysX® acceleration from NVIDIA®. NVIDIA Corporation (“NVIDIA”) is willing to license the PHYSX SDK and the accompanying documentation to you only on the condition that you accept all the terms in this License Agreement (“Agreement”). IMPORTANT: READ THE FOLLOWING TERMS AND CONDITIONS BEFORE USING THE ACCOMPANYING NVIDIA PHYSX SDK. IF YOU DO NOT AGREE TO THE TERMS OF THIS AGREEMENT, NVIDIA IS NOT WILLING TO LICENSE THE PHYSX SDK TO YOU. IF YOU DO NOT AGREE TO THESE TERMS, YOU SHALL DESTROY THIS ENTIRE PRODUCT AND PROVIDE EMAIL VERIFICATION TO [email protected] OF DELETION OF ALL COPIES OF THE ENTIRE PRODUCT. NVIDIA MAY MODIFY THE TERMS OF THIS AGREEMENT FROM TIME TO TIME. ANY USE OF THE PHYSX SDK WILL BE SUBJECT TO SUCH UPDATED TERMS. A CURRENT VERSION OF THIS AGREEMENT IS POSTED ON NVIDIA’S DEVELOPER WEBSITE: www.developer.nvidia.com/object/physx_eula.html 1. Definitions. “Licensed Platforms” means the following: - Any PC or Apple Mac computer with a NVIDIA CUDA-enabled processor executing NVIDIA PhysX; - Any PC or Apple Mac computer running NVIDIA PhysX software executing on the primary central processing unit of the PC only; - Any PC utilizing an AGEIA PhysX processor executing NVIDIA PhysX code; - Microsoft XBOX 360; - Nintendo Wii; and/or - Sony Playstation 3 “Physics Application” means a software application designed for use and fully compatible with the PhysX SDK and/or NVIDIA Graphics processor products, including but not limited to, a video game, visual simulation, movie, or other product. -
RTX Beyond Ray Tracing
RTX Beyond Ray Tracing Exploring the Use of Hardware Ray Tracing Cores for Tet-Mesh Point Location -Now, let’s run a lot of experiments … I Wald (NVIDIA), W Usher, N Morrical, L Lediaev, V Pascucci (University of Utah) Motivation – What this is about - In this paper: We accelerate Unstructured-Data (Tet Mesh) Volume Ray Casting… NVIDIA Confidential Motivation – What this is about - In this paper: We accelerate Unstructured-Data (Tet Mesh) Volume Ray Casting… - But: This is not what this is (primarily) about - Volume rendering is just a “proof of concept”. - Original question: “What else” can you do with RTX? - Remember the early 2000’s (e.g., “register combiners”): Lots of innovation around “using graphics hardware for non- graphics problems”. - Since CUDA: Much of that has been subsumed through CUDA - Today: Now that we have new hardware units (RTX, Tensor Cores), what else could we (ab-)use those for? (“(ab-)use” as in “use for something that it wasn’t intended for”) NVIDIA Confidential Motivation – What this is about - In this paper: We accelerate Unstructured-Data (Tet Mesh) Volume Ray Casting… - But: This is not what this is (primarily) about - Volume rendering is just a “proof of concept”. - Original question: “What else” can you do with RTX? - Remember the early 2000’s (e.g., “register combiners”): Lots of innovation around “using graphics hardware for non- graphics →problems”.Two main goal(s) of this paper: -a)SinceGet CUDA: readers Much ofto that think has beenabout subsumed the “what through else”s CUDA… - Today: Nowb) Showthat -
RTX-Accelerated Hair Brought to Life with NVIDIA Iray (GTC 2020 S22494)
RTX-accelerated Hair brought to Life with NVIDIA Iray (GTC 2020 S22494) Carsten Waechter, March 2020 What is Iray? Production Rendering on CUDA In Production since > 10 Years Bring ray tracing based production / simulation quality rendering to GPUs New paradigm: Push Button rendering (open up new markets) Plugins for 3ds Max Maya Rhino SketchUp … … … 2 What is Iray? NVIDIA testbed and inspiration for new tech NVIDIA Material Definition Language (MDL) evolved from internal material representation into public SDK NVIDIA OptiX 7 co-development, verification and guinea pig NVIDIA RTX / RT Cores scene- and ray-dumps to drive hardware requirements NVIDIA Maxwell…NVIDIA Turing (& future) enhancements profiling/experiments resulting in new features/improvements Design and test/verify NVIDIA’s new Headquarter (in VR) close cooperation with Gensler 3 Simulation Quality 4 iray legacy Artistic Freedom 5 How Does it Work? 99% physically based Path Tracing To guarantee simulation quality and Push Button • Limit shortcuts and good enough hacks to minimum • Brute force (spectral) simulation no intermediate filtering scale over multiple GPUs and hosts even in interactive use • Two-way path tracing from camera and (opt.) lights • Use NVIDIA Material Definition Language (MDL) • NVIDIA AI Denoiser to clean up remaining noise 6 How Does it Work? 99% physically based Path Tracing To guarantee simulation quality and Push Button • Limit shortcuts and good enough hacks to minimum • Brute force (spectral) simulation no intermediate filtering scale over multiple -
Defendant Apple Inc.'S Proposed Findings of Fact and Conclusions Of
Case 4:20-cv-05640-YGR Document 410 Filed 04/08/21 Page 1 of 325 1 THEODORE J. BOUTROUS JR., SBN 132099 MARK A. PERRY, SBN 212532 [email protected] [email protected] 2 RICHARD J. DOREN, SBN 124666 CYNTHIA E. RICHMAN (D.C. Bar No. [email protected] 492089; pro hac vice) 3 DANIEL G. SWANSON, SBN 116556 [email protected] [email protected] GIBSON, DUNN & CRUTCHER LLP 4 JAY P. SRINIVASAN, SBN 181471 1050 Connecticut Avenue, N.W. [email protected] Washington, DC 20036 5 GIBSON, DUNN & CRUTCHER LLP Telephone: 202.955.8500 333 South Grand Avenue Facsimile: 202.467.0539 6 Los Angeles, CA 90071 Telephone: 213.229.7000 ETHAN DETTMER, SBN 196046 7 Facsimile: 213.229.7520 [email protected] ELI M. LAZARUS, SBN 284082 8 VERONICA S. MOYÉ (Texas Bar No. [email protected] 24000092; pro hac vice) GIBSON, DUNN & CRUTCHER LLP 9 [email protected] 555 Mission Street GIBSON, DUNN & CRUTCHER LLP San Francisco, CA 94105 10 2100 McKinney Avenue, Suite 1100 Telephone: 415.393.8200 Dallas, TX 75201 Facsimile: 415.393.8306 11 Telephone: 214.698.3100 Facsimile: 214.571.2900 Attorneys for Defendant APPLE INC. 12 13 14 15 UNITED STATES DISTRICT COURT 16 FOR THE NORTHERN DISTRICT OF CALIFORNIA 17 OAKLAND DIVISION 18 19 EPIC GAMES, INC., Case No. 4:20-cv-05640-YGR 20 Plaintiff, Counter- DEFENDANT APPLE INC.’S PROPOSED defendant FINDINGS OF FACT AND CONCLUSIONS 21 OF LAW v. 22 APPLE INC., The Honorable Yvonne Gonzalez Rogers 23 Defendant, 24 Counterclaimant. Trial: May 3, 2021 25 26 27 28 Gibson, Dunn & Crutcher LLP DEFENDANT APPLE INC.’S PROPOSED FINDINGS OF FACT AND CONCLUSIONS OF LAW, 4:20-cv-05640- YGR Case 4:20-cv-05640-YGR Document 410 Filed 04/08/21 Page 2 of 325 1 Apple Inc. -
Tegra Linux Driver Package
TEGRA LINUX DRIVER PACKAGE RN_05071-R32 | March 18, 2019 Subject to Change 32.1 Release Notes RN_05071-R32 Table of Contents 1.0 About this Release ................................................................................... 3 1.1 Login Credentials ............................................................................................... 4 2.0 Known Issues .......................................................................................... 5 2.1 General System Usability ...................................................................................... 5 2.2 Boot .............................................................................................................. 6 2.3 Camera ........................................................................................................... 6 2.4 CUDA Samples .................................................................................................. 7 2.5 Multimedia ....................................................................................................... 7 3.0 Top Fixed Issues ...................................................................................... 9 3.1 General System Usability ...................................................................................... 9 3.2 Camera ........................................................................................................... 9 4.0 Documentation Corrections ..................................................................... 10 4.1 Adaptation and Bring-Up Guide ............................................................................ -
Tegra: Mobile & GPU Supercomputing Convergence | GTC 2013
Tegra – at the Convergence of Mobile and GPU Supercomputing Neil Trevett, VP Mobile Content, NVIDIA © 2012 NVIDIA - Page 1 Welcome to the Inaugural GTC Mobile Summit! Tuesday Afternoon - Room 210C Ecosystem Broad View – including Ouya Development Tools – including Tegra 4 and Shield Wednesday Morning - Marriott Ballroom 3 Visualization – including using H.264 for still imagery Augmented device interaction – including depth camera on Tegra Wednesday Afternoon - Room 210C Vision and Computational Photography – including Chimera Web – the fastest mobile browser Mobile Panel – your chance to ask gnarly questions! Select Mobile Summit Tag in your GTC Mobile App! © 2012 NVIDIA - Page 2 Why Mobile GPU Compute? State-of-the-art Augmented Reality without GPU Compute Courtesy Metaio http://www.youtube.com/watch?v=xw3M-TNOo44&feature=related © 2012 NVIDIA - Page 3 Augmented Reality with GPU Compute Research today on CUDA equipped laptop PCs How will this GPU Compute Capability migrate from high- end PCs to mobile? High-Quality Reflections, Refractions, and Caustics in Augmented Reality and their Contribution to Visual Coherence P. Kán, H. Kaufmann, Institute of Software Technology and Interactive Systems, Vienna University of Technology, Vienna, Austria © 2012 NVIDIA - Page 4 Denver CPU Mobile SOC Performance Increases Maxwell GPU FinFET Full Kepler GPU CUDA 5.0 OpenGL 4.3 100 Parker Google Nexus 7 Logan HTC One X+ 100x perf increase in Tegra 4 four years 1st Quad A15 10 Chimera Computational Photography Core i5 Tegra 3 1st Quad A9 1st Power saver 5th core Core 2 Duo Tegra 2 st CPU/GPU AGGREGATE PERFORMANCE AGGREGATE CPU/GPU 1 Dual A9 1 2012 2013 2014 2015 2011 Device Shipping Dates © 2012 NVIDIA - Page 5 Power is the New Design Limit The Process Fairy keeps bringing more transistors.