PowerPoint Presentation Introduction to OpenGL Computer Graphics Instructor: Sungkil Lee 2 OpenGL • IRIS GL (Graphics Library): • Silicon Graphics (SGI) revolutionized the graphics workstation by implementing the pipeline approach in hardware (1982). • OpenGL (Open Graphics Library): • The success of IRIS GL led to OpenGL (1992). • A platform-independent rendering API • Close […]
Com 4521 Parallel Computing with GPUs: Lab 05 Spring Semester 2018 Dr Paul Richmond Lab Assistants: John Carlton and Robert Chisholm Department of Computer Science, University of Sheffield Learning Outcomes How to query CUDA device properties Understanding how to observe the difference between theoretical and measure memory bandwidth Understanding an observing the
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Lab2 The game loop and animations In this lab is divided in three parts. · In the first part we will explore the software design for implementing a character in your game. · In the second part we will go trough the process of animating objects using the update method. · In the third part
readme Overview The practical exercises are based around a program for predicting dictionary head words, given a definition. A neural network is trained to compose words in a definition so that the resulting definition vector is close to the vector for the corresponding head word. For example, one of the training instances could be: The
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COMP8551 Hardware design COMP 8551 Advanced Games Programming Techniques Hardware and Assembly Language Borna Noureddin, Ph.D. British Columbia Institute of Technology Overview Hardware concepts •Definitions •Design and architectures 2 © B or na N ou re dd in C O M P 85 51 Hardware Concepts CPU, GPU, GPGPU, FPGA • All integrated circuits •
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COMP6714 Project Specification (stage 2)-checkpoint COMP6714 18s2 Project¶ Stage 2: Modify a baseline model of hyponymy classification¶ Deadline and Late Penalty¶ The project deadline is 23:59 26 Oct 2018 (Fri). Late penalty is -10% each day for the first three days, and then -20% each day afterwards. Objective¶ As explained in stage 1, in this
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Microsoft PowerPoint – 1-fundamentals-1 [Compatibility Mode] High Performance Computing Course Notes HPC Fundamentals 2Computer Science, University of Warwick Contacts details Dr. Ligang He Home page: http://www.dcs.warwick.ac.uk/~liganghe Email: ligang.he@warwick.ac.uk Office: Room 205 3Computer Science, University of Warwick Course Administration Course Format Monday: 1100-1200 lecture in CS104, 1200-1300 lab session in CS001 and CS003: 1) Practice the
Microsoft PowerPoint – GPU-1 [Compatibility Mode] 12Computer Science, University of Warwick CUDA CUDA is the most popular programming model for writing parallel programs to run on GPU developed by NVIDIA 13Computer Science, University of Warwick CUDA keywords and kernel – A CUDA program has two parts of code – Host code: the part
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PowerPoint Presentation Parallel Computing with GPUs: Sorting and Libraries Dr Paul Richmond http://paulrichmond.shef.ac.uk/teaching/COM4521/ Last Week We learnt about Performance optimisation APOD cycle Use of guided analysis to find important kernels Use of guided analysis to find optimisation routes for code Important Reminder Guest lecture next week MOLE Quiz next week 9.00am Followed by 1 hour
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PowerPoint Presentation Parallel Computing with GPUs: CUDA Streams Dr Paul Richmond http://paulrichmond.shef.ac.uk/teaching/COM4521/ Synchronous and Asynchronous execution CUDA Streams Synchronisation Multi GPU Programming Blocking and Non-Blocking Functions Synchronous vs Asynchronous Synchronous: Blocking call Executed sequentially Asynchronous: Non-Blocking call Control returns to host thread Asynchronous Advantages Overlap execution and data movement on different devices Not just GPU
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