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sesiuni:gpu_computing [2015/06/25 12:56]
atrandafir [When and Where?]
sesiuni:gpu_computing [2015/07/20 13:14] (current)
atrandafir [Registration]
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 = Introduction to GPU Computing = = Introduction to GPU Computing =
-<​TODO>​+This workshop introduces the concept of GPU computing - the ability to write general-purpose,​ non-graphical applications that can be processed by a modern GPU. Since 2001 GPUs have become programmable processors, initially capable of only handling graphical applications like video games or professional visualization tools. Currently, however, they are much more capable: based on a highly parallel, many-core architecture,​ GPUs are being used in a large number of high-performance computing domains, such as computational physics, computer vision, computational finance, medical imaging and many others. 
 +In this workshop, you will learn more about what makes a GPU so powerful and how you can use it to accelerate your own computational tasks. It also introduces CUDA as a stable and mature API for NVIDIA-based GPUs, coupled with several useful development tools bundled under NSIGHT - a highly capable and easy-to-use toolkit which integrates with popular IDEs like Visual Studio or Eclipse. 
 +The hands-on tasks will familiarize you with the parallel programming model exposed by CUDA and show you how you can optimize your code to squeeze more performance out of the GPU.  ​
-== When and Where? ​==+= When and Where? =
 July 25th - July 26th 2015. July 25th - July 26th 2015.
 ^  Date  ^  Time          ^  Room  | ^  Date  ^  Time          ^  Room  |
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 | July 26th, 2015 | 13:00-19:00 |  EG304  | | July 26th, 2015 | 13:00-19:00 |  EG304  |
-== Workshop Agenda ​==+= Workshop Agenda =
-DAY 1 (25th of July, 2015)+DAY 1 (July 25th, 2015)
 * GPGPUs and GPU computing * GPGPUs and GPU computing
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 * Hands-on: Implemeting "Hello World!"​ using CUDA  * Hands-on: Implemeting "Hello World!"​ using CUDA 
-DAY 2 (26th of July, 2015)+DAY 2 (July 26th, 2015)
 * Hands-on: Vector addition using CUDA * Hands-on: Vector addition using CUDA
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 * Conclusions * Conclusions
-== Technical Prerequisites ​==+= Technical Prerequisites =
-If you are interested in learning the fundamentals of OpenCL or simply eager to take a first step in the world of parallel programming ​with GPUsthen you're definitely part of the target audienceYou are expected to be familiar with computer ​architecture ​and have good C programming knowledge. +* basic to intermediate C / C++ programming knowledge 
-== Registration ==+* basic knowledge ​of parallel programming ​concepts (threadsbarriers etc.
 +* basic notions of a computing system'​s ​architecture ​(CPU, RAM, GPU etc.)
-To register for this workshop, please fill in the [[http://​goo.gl/​forms/​uQQEMiW5GU|form]]. +This workshop ​is addressed ​to people who are curious to learn how a modern GPU can be programmed to run numerically-intensive non-graphical applicationsKnowledge of a typical computing system'​s architecture is necessary ​to better ​understand how the GPU fits in as a high-performance computing accelerator. C / C ++ programming knowledge ​and parallel programming concepts will be needed during ​the hands-on sessions.
-Please try to just be yourself and provide honest and simple answersWe want to get a better ​idea about what you already know and what you would like to learn, but also to polish ​the last details of the training materials according to your requirements ​and preference. +
-For any questions regarding this workshop, please feel free to contact ​the trainer.+
-== Trainer ​==+Registration ​= 
 +Enrollment will be based on a first-come, first-serve principle. 
 +Registration is available until **July 20th, 2015**.  
 +Registration for this workshop has **closed**. 
 +Trainer ​=
 **Andrei Trandafir** **Andrei Trandafir**
 **E-mail**: ​ **E-mail**: ​
 <​andrei.tra@gmail.com> ​ <​andrei.tra@gmail.com> ​
sesiuni/gpu_computing.1435226171.txt.gz · Last modified: 2015/06/25 12:56 by atrandafir