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GLSL 4.50 Spec
The OpenGL® Shading Language Language Version: 4.50 Document Revision: 7 09-May-2017 Editor: John Kessenich, Google Version 1.1 Authors: John Kessenich, Dave Baldwin, Randi Rost Copyright (c) 2008-2017 The Khronos Group Inc. All Rights Reserved. This specification is protected by copyright laws and contains material proprietary to the Khronos Group, Inc. It or any components may not be reproduced, republished, distributed, transmitted, displayed, broadcast, or otherwise exploited in any manner without the express prior written permission of Khronos Group. You may use this specification for implementing the functionality therein, without altering or removing any trademark, copyright or other notice from the specification, but the receipt or possession of this specification does not convey any rights to reproduce, disclose, or distribute its contents, or to manufacture, use, or sell anything that it may describe, in whole or in part. Khronos Group grants express permission to any current Promoter, Contributor or Adopter member of Khronos to copy and redistribute UNMODIFIED versions of this specification in any fashion, provided that NO CHARGE is made for the specification and the latest available update of the specification for any version of the API is used whenever possible. Such distributed specification may be reformatted AS LONG AS the contents of the specification are not changed in any way. The specification may be incorporated into a product that is sold as long as such product includes significant independent work developed by the seller. A link to the current version of this specification on the Khronos Group website should be included whenever possible with specification distributions. -
Implementing FPGA Design with the Opencl Standard
Implementing FPGA Design with the OpenCL Standard WP-01173-3.0 White Paper Utilizing the Khronos Group’s OpenCL™ standard on an FPGA may offer significantly higher performance and at much lower power than is available today from hardware architectures such as CPUs, graphics processing units (GPUs), and digital signal processing (DSP) units. In addition, an FPGA-based heterogeneous system (CPU + FPGA) using the OpenCL standard has a significant time-to-market advantage compared to traditional FPGA development using lower level hardware description languages (HDLs) such as Verilog or VHDL. 1 OpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission by Khronos. Introduction The initial era of programmable technologies contained two different extremes of programmability. As illustrated in Figure 1, one extreme was represented by single core CPU and digital signal processing (DSP) units. These devices were programmable using software consisting of a list of instructions to be executed. These instructions were created in a manner that was conceptually sequential to the programmer, although an advanced processor could reorder instructions to extract instruction-level parallelism from these sequential programs at run time. In contrast, the other extreme of programmable technology was represented by the FPGA. These devices are programmed by creating configurable hardware circuits, which execute completely in parallel. A designer using an FPGA is essentially creating a massively- fine-grained parallel application. For many years, these extremes coexisted with each type of programmability being applied to different application domains. However, recent trends in technology scaling have favored technologies that are both programmable and parallel. Figure 1. -
Khronos Template 2015
Ecosystem Overview Neil Trevett | Khronos President NVIDIA Vice President Developer Ecosystem [email protected] | @neilt3d © Copyright Khronos Group 2016 - Page 1 Khronos Mission Software Silicon Khronos is an Industry Consortium of over 100 companies creating royalty-free, open standard APIs to enable software to access hardware acceleration for graphics, parallel compute and vision © Copyright Khronos Group 2016 - Page 2 http://accelerateyourworld.org/ © Copyright Khronos Group 2016 - Page 3 Vision Pipeline Challenges and Opportunities Growing Camera Diversity Diverse Vision Processors Sensor Proliferation 22 Flexible sensor and camera Use efficient acceleration to Combine vision output control to GENERATE PROCESS with other sensor data an image stream the image stream on device © Copyright Khronos Group 2016 - Page 4 OpenVX – Low Power Vision Acceleration • Higher level abstraction API - Targeted at real-time mobile and embedded platforms • Performance portability across diverse architectures - Multi-core CPUs, GPUs, DSPs and DSP arrays, ISPs, Dedicated hardware… • Extends portable vision acceleration to very low power domains - Doesn’t require high-power CPU/GPU Complex - Lower precision requirements than OpenCL - Low-power host can setup and manage frame-rate graph Vision Engine Middleware Application X100 Dedicated Vision Processing Hardware Efficiency Vision DSPs X10 GPU Compute Accelerator Multi-core Accelerator Power Efficiency Power X1 CPU Accelerator Computation Flexibility © Copyright Khronos Group 2016 - Page 5 OpenVX Graphs -
Augmented Reality and Its Aspects: a Case Study for Heating Systems
Augmented Reality and its aspects: a case study for heating systems. Lucas Cavalcanti Viveiros Dissertation presented to the School of Technology and Management of Bragança to obtain a Master’s Degree in Information Systems. Under the double diploma course with the Federal Technological University of Paraná Work oriented by: Prof. Paulo Jorge Teixeira Matos Prof. Jorge Aikes Junior Bragança 2018-2019 ii Augmented Reality and its aspects: a case study for heating systems. Lucas Cavalcanti Viveiros Dissertation presented to the School of Technology and Management of Bragança to obtain a Master’s Degree in Information Systems. Under the double diploma course with the Federal Technological University of Paraná Work oriented by: Prof. Paulo Jorge Teixeira Matos Prof. Jorge Aikes Junior Bragança 2018-2019 iv Dedication I dedicate this work to my friends and my family, especially to my parents Tadeu José Viveiros and Vera Neide Cavalcanti, who have always supported me to continue my stud- ies, despite the physical distance has been a demand factor from the beginning of the studies by the change of state and country. v Acknowledgment First of all, I thank God for the opportunity. All the teachers who helped me throughout my journey. Especially, the mentors Paulo Matos and Jorge Aikes Junior, who not only provided the necessary support but also the opportunity to explore a recent area that is still under development. Moreover, the professors Paulo Leitão and Leonel Deusdado from CeDRI’s laboratory for allowing me to make use of the HoloLens device from Microsoft. vi Abstract Thanks to the advances of technology in various domains, and the mixing between real and virtual worlds. -
Khronos Native Platform Graphics Interface (EGL Version 1.4 - April 6, 2011)
Khronos Native Platform Graphics Interface (EGL Version 1.4 - April 6, 2011) Editor: Jon Leech 2 Copyright (c) 2002-2011 The Khronos Group Inc. All Rights Reserved. This specification is protected by copyright laws and contains material proprietary to the Khronos Group, Inc. It or any components may not be reproduced, repub- lished, distributed, transmitted, displayed, broadcast or otherwise exploited in any manner without the express prior written permission of Khronos Group. You may use this specification for implementing the functionality therein, without altering or removing any trademark, copyright or other notice from the specification, but the receipt or possession of this specification does not convey any rights to reproduce, disclose, or distribute its contents, or to manufacture, use, or sell anything that it may describe, in whole or in part. Khronos Group grants express permission to any current Promoter, Contributor or Adopter member of Khronos to copy and redistribute UNMODIFIED versions of this specification in any fashion, provided that NO CHARGE is made for the specification and the latest available update of the specification for any version of the API is used whenever possible. Such distributed specification may be re- formatted AS LONG AS the contents of the specification are not changed in any way. The specification may be incorporated into a product that is sold as long as such product includes significant independent work developed by the seller. A link to the current version of this specification on the Khronos Group web-site should be included whenever possible with specification distributions. Khronos Group makes no, and expressly disclaims any, representations or war- ranties, express or implied, regarding this specification, including, without limita- tion, any implied warranties of merchantability or fitness for a particular purpose or non-infringement of any intellectual property. -
The Openvx™ Specification
The OpenVX™ Specification Version 1.0.1 Document Revision: r31169 Generated on Wed May 13 2015 08:41:43 Khronos Vision Working Group Editor: Susheel Gautam Editor: Erik Rainey Copyright ©2014 The Khronos Group Inc. i Copyright ©2014 The Khronos Group Inc. All Rights Reserved. This specification is protected by copyright laws and contains material proprietary to the Khronos Group, Inc. It or any components may not be reproduced, republished, distributed, transmitted, displayed, broadcast or otherwise exploited in any manner without the express prior written permission of Khronos Group. You may use this specifica- tion for implementing the functionality therein, without altering or removing any trademark, copyright or other notice from the specification, but the receipt or possession of this specification does not convey any rights to reproduce, disclose, or distribute its contents, or to manufacture, use, or sell anything that it may describe, in whole or in part. Khronos Group grants express permission to any current Promoter, Contributor or Adopter member of Khronos to copy and redistribute UNMODIFIED versions of this specification in any fashion, provided that NO CHARGE is made for the specification and the latest available update of the specification for any version of the API is used whenever possible. Such distributed specification may be re-formatted AS LONG AS the contents of the specifi- cation are not changed in any way. The specification may be incorporated into a product that is sold as long as such product includes significant independent work developed by the seller. A link to the current version of this specification on the Khronos Group web-site should be included whenever possible with specification distributions. -
SYCL – Introduction and Hands-On
SYCL – Introduction and Hands-on Thomas Applencourt + people on next slide - [email protected] Argonne Leadership Computing Facility Argonne National Laboratory 9700 S. Cass Ave Argonne, IL 60349 Book Keeping Get the example and the presentation: 1 git clone https://github.com/alcf-perfengr/sycltrain 2 cd sycltrain/presentation/2020_07_30_ATPESC People who are here to help: • Collen Bertoni - [email protected] • Brian Homerding - [email protected] • Nevin ”:)” Liber [email protected] • Ben Odom - [email protected] • Dan Petre - [email protected]) 1/17 Table of contents 1. Introduction 2. Theory 3. Hands-on 4. Conclusion 2/17 Introduction What programming model to use to target GPU? • OpenMP (pragma based) • Cuda (proprietary) • Hip (low level) • OpenCL (low level) • Kokkos, RAJA, OCCA (high level, abstraction layer, academic projects) 3/17 What is SYCL™?1 1. Target C++ programmers (template, lambda) 1.1 No language extension 1.2 No pragmas 1.3 No attribute 2. Borrow lot of concept from battle tested OpenCL (platform, device, work-group, range) 3. Single Source (two compilations passes) 4. High level data-transfer 5. SYCL is a Specification developed by the Khronos Group (OpenCL, SPIR, Vulkan, OpenGL) 1SYCL Doesn’t mean ”Someone You Couldn’t Love”. Sadly. 4/17 SYCL Implementations 2 2Credit: Khronos groups (https://www.khronos.org/sycl/) 5/17 Goal of this presentation 1. Give you a feel of SYCL 2. Go through code examples (and make you do some homework) 3. Teach you enough so that can search for the rest if you interested 4. Question are welcomed! 3 3Please just talk, or use slack 6/17 Theory A picture is worth a thousand words4 4and this is a UML diagram so maybe more! 7/17 Memory management: SYCL innovation 1. -
Building the Metaverse One Open Standard at a Time
Building the Metaverse One Open Standard at a Time Khronos APIs and 3D Asset Formats for XR Neil Trevett Khronos President NVIDIA VP Developer Ecosystems [email protected]| @neilt3d April 2020 © Khronos® Group 2020 This work is licensed under a Creative Commons Attribution 4.0 International License © The Khronos® Group Inc. 2020 - Page 1 Khronos Connects Software to Silicon Open interoperability standards to enable software to effectively harness the power of multiprocessors and accelerator silicon 3D graphics, XR, parallel programming, vision acceleration and machine learning Non-profit, member-driven standards-defining industry consortium Open to any interested company All Khronos standards are royalty-free Well-defined IP Framework protects participant’s intellectual property >150 Members ~ 40% US, 30% Europe, 30% Asia This work is licensed under a Creative Commons Attribution 4.0 International License © The Khronos® Group Inc. 2020 - Page 2 Khronos Active Initiatives 3D Graphics 3D Assets Portable XR Parallel Computation Desktop, Mobile, Web Authoring Augmented and Vision, Inferencing, Machine Embedded and Safety Critical and Delivery Virtual Reality Learning Guidelines for creating APIs to streamline system safety certification This work is licensed under a Creative Commons Attribution 4.0 International License © The Khronos® Group Inc. 2020 - Page 3 Pervasive Vulkan Desktop and Mobile GPUs http://vulkan.gpuinfo.org/ Platforms Apple Desktop Android (via porting Media Players Consoles (Android 7.0+) layers) (Vulkan 1.1 required on Android Q) Virtual Reality Cloud Services Game Streaming Embedded Engines Croteam Serious Engine Note: The version of Vulkan available will depend on platform and vendor This work is licensed under a Creative Commons Attribution 4.0 International License © The Khronos® Group Inc. -
Opencl on The
Introduction to OpenCL Cliff Woolley, NVIDIA Developer Technology Group Welcome to the OpenCL Tutorial! . OpenCL Platform Model . OpenCL Execution Model . Mapping the Execution Model onto the Platform Model . Introduction to OpenCL Programming . Additional Information and Resources OpenCL is a trademark of Apple, Inc. Design Goals of OpenCL . Use all computational resources in the system — CPUs, GPUs and other processors as peers . Efficient parallel programming model — Based on C99 — Data- and task- parallel computational model — Abstract the specifics of underlying hardware — Specify accuracy of floating-point computations . Desktop and Handheld Profiles © Copyright Khronos Group, 2010 OPENCL PLATFORM MODEL It’s a Heterogeneous World . A modern platform includes: – One or more CPUs CPU – One or more GPUs CPU – Optional accelerators (e.g., DSPs) GPU GMCH DRAM ICH GMCH = graphics memory control hub ICH = Input/output control hub © Copyright Khronos Group, 2010 OpenCL Platform Model Computational Resources … … … … … …… Host … Processing …… Element … … Compute Device Compute Unit OpenCL Platform Model Computational Resources … … … … … …… Host … Processing …… Element … … Compute Device Compute Unit OpenCL Platform Model on CUDA Compute Architecture … CUDA CPU … Streaming … Processor … … …… Host … Processing …… Element … … Compute Device Compute Unit CUDA CUDA-Enabled Streaming GPU Multiprocessor Anatomy of an OpenCL Application OpenCL Application Host Code Device Code • Written in C/C++ • Written in OpenCL C • Executes on the host • Executes on the device … … … … … …… Host … Compute …… Devices … … Host code sends commands to the Devices: … to transfer data between host memory and device memories … to execute device code Anatomy of an OpenCL Application . Serial code executes in a Host (CPU) thread . Parallel code executes in many Device (GPU) threads across multiple processing elements OpenCL Application Host = CPU Serial code Device = GPU Parallel code … Host = CPU Serial code Device = GPU Parallel code .. -
Conference Booklet
30th Oct - 1st Nov CONFERENCE BOOKLET 1 2 3 INTRO REBOOT DEVELOP RED | 2019 y Always Outnumbered, Never Outgunned Warmest welcome to first ever Reboot Develop it! And we are here to stay. Our ambition through Red conference. Welcome to breathtaking Banff the next few years is to turn Reboot Develop National Park and welcome to iconic Fairmont Red not just in one the best and biggest annual Banff Springs. It all feels a bit like history repeating games industry and game developers conferences to me. When we were starting our European older in Canada and North America, but in the world! sister, Reboot Develop Blue conference, everybody We are committed to stay at this beautiful venue was full of doubts on why somebody would ever and in this incredible nature and astonishing choose a beautiful yet a bit remote place to host surroundings for the next few forthcoming years one of the biggest worldwide gatherings of the and make it THE annual key gathering spot of the international games industry. In the end, it turned international games industry. We will need all of into one of the biggest and highest-rated games your help and support on the way! industry conferences in the world. And here we are yet again at the beginning, in one of the most Thank you from the bottom of the heart for all beautiful and serene places on Earth, at one of the the support shown so far, and even more for the most unique and luxurious venues as well, and in forthcoming one! the company of some of the greatest minds that the games industry has to offer! _Damir Durovic -
Portable VR with Khronos Openxr
Portable VR with Khronos OpenXR Kaye Mason, Nick Whiting, Rémi Arnaud, Brad Grantham July 2017 © Copyright Khronos Group 2016 - Page 1 Outline for the Session • Problem, Solution • Panelist Introductions • Technical Issues • Audience Questions • Lightning Round • How to Join • Party! © Copyright Khronos Group 2016 - Page 2 Problem Without a cross-platform standard, VR applications, games and engines must port to each vendors’ APIs. In turn, this means that each VR device can only run the apps that have been ported to its SDK. The result is high development costs and confused customers – limiting market growth. © Copyright Khronos Group 2016 - Page 3 Solution The cross-platform VR standard eliminates industry fragmentation by enabling applications to be written once to run on any VR system, and to access VR devices integrated into those VR systems to be used by applications. © Copyright Khronos Group 2016 - Page 4 Architecture OpenXR defines two levels of API interfaces that a VR platform’s runtime can use to access the OpenXR ecosystem. Apps and engines use standardized interfaces to interrogate and drive devices. Devices can self- integrate to a standardized driver interface. Standardized hardware/software interfaces reduce fragmentation while leaving implementation details open to encourage industry innovation. © Copyright Khronos Group 2016 - Page 5 OpenXR Participant Companies © Copyright Khronos Group 2016 - Page 6 Panelist Introduction • Kaye Mason Dr. Kaye Mason is a senior software engineer at Google and the API Lead for Google Daydream, as well as working on graphics and distortion. She is also the Specification Editor for the Khronos OpenXR standard. Kaye has a PhD in Computer Science from research focused on using AIs to do non- photorealistic rendering. -
The Opengl ES Shading Language
The OpenGL ES® Shading Language Language Version: 3.20 Document Revision: 12 246 JuneAugust 2015 Editor: Robert J. Simpson, Qualcomm OpenGL GLSL editor: John Kessenich, LunarG GLSL version 1.1 Authors: John Kessenich, Dave Baldwin, Randi Rost 1 Copyright (c) 2013-2015 The Khronos Group Inc. All Rights Reserved. This specification is protected by copyright laws and contains material proprietary to the Khronos Group, Inc. It or any components may not be reproduced, republished, distributed, transmitted, displayed, broadcast, or otherwise exploited in any manner without the express prior written permission of Khronos Group. You may use this specification for implementing the functionality therein, without altering or removing any trademark, copyright or other notice from the specification, but the receipt or possession of this specification does not convey any rights to reproduce, disclose, or distribute its contents, or to manufacture, use, or sell anything that it may describe, in whole or in part. Khronos Group grants express permission to any current Promoter, Contributor or Adopter member of Khronos to copy and redistribute UNMODIFIED versions of this specification in any fashion, provided that NO CHARGE is made for the specification and the latest available update of the specification for any version of the API is used whenever possible. Such distributed specification may be reformatted AS LONG AS the contents of the specification are not changed in any way. The specification may be incorporated into a product that is sold as long as such product includes significant independent work developed by the seller. A link to the current version of this specification on the Khronos Group website should be included whenever possible with specification distributions.