Pagini
Workshops
Parteneri
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision | ||
sesiuni:gpu_computing [2015/06/25 13:37] atrandafir [Introduction to GPU Computing] |
sesiuni:gpu_computing [2015/07/20 13:14] (current) atrandafir [Registration] |
||
---|---|---|---|
Line 5: | Line 5: | ||
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. | 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 | | ||
Line 11: | Line 11: | ||
| July 26th, 2015 | 13:00-19:00 | EG304 | | | July 26th, 2015 | 13:00-19:00 | EG304 | | ||
- | == Workshop Agenda == | + | = Workshop Agenda = |
DAY 1 (July 25th, 2015) | DAY 1 (July 25th, 2015) | ||
Line 37: | Line 37: | ||
* Conclusions | * Conclusions | ||
- | == Technical Prerequisites == | + | = Technical Prerequisites = |
* basic to intermediate C / C++ programming knowledge | * basic to intermediate C / C++ programming knowledge | ||
Line 45: | Line 45: | ||
This workshop is addressed to people who are curious to learn how a modern GPU can be programmed to run numerically-intensive non-graphical applications. Knowledge 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. | This workshop is addressed to people who are curious to learn how a modern GPU can be programmed to run numerically-intensive non-graphical applications. Knowledge 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. | ||
- | == Registration == | + | = Registration = |
- | Please fill in the following form in order to register: [[http://goo.gl/forms/0aKO1AXwWR|Registration form]]. | ||
Enrollment will be based on a first-come, first-serve principle. | Enrollment will be based on a first-come, first-serve principle. | ||
+ | Registration is available until **July 20th, 2015**. | ||
- | == Trainer == | + | Registration for this workshop has **closed**. |
+ | |||
+ | = Trainer = | ||
**Andrei Trandafir** | **Andrei Trandafir** | ||
**E-mail**: | **E-mail**: | ||
<andrei.tra@gmail.com> | <andrei.tra@gmail.com> |