| Title:
|
Graphics card as a cheap supercomputer (English) |
| Author:
|
Přikryl, Jan |
| Language:
|
English |
| Journal:
|
Programs and Algorithms of Numerical Mathematics |
| Volume:
|
Proceedings of Seminar. Dolní Maxov, June 3-8, 2012 |
| Issue:
|
2012 |
| Year:
|
|
| Pages:
|
162-167 |
| . |
| Category:
|
math |
| . |
| Summary:
|
The current powerful graphics cards, providing stunning real-time visual effects for computer-based entertainment, have to accommodate powerful hardware components that are able to deliver the photo-realistic simulation to the end-user. Given the vast computing power of the graphics hardware, its producers very often offer a programming interface that makes it possible to use the computational resources of the graphics processors (GPU) to more general purposes. This step gave birth to the
so-called GPGPU (general-purpose GPU) processors that – if programmed correctly – are able to achieve astonishing performance in floating point operations. In this paper we will briefly overview nVidia CUDA technology and we will demonstrate a process of developing a simple GPGPU application both in the native GPGPU style and in the add-ons for Matlab (Jacket and Parallel Toolbox). (English) |
| Keyword:
|
GPU computation |
| Keyword:
|
massive parallel processing |
| Keyword:
|
CUDA |
| Keyword:
|
system identification |
| MSC:
|
62J10 |
| MSC:
|
65-04 |
| MSC:
|
65C20 |
| MSC:
|
65Y05 |
| MSC:
|
68Q32 |
| MSC:
|
93E12 |
| . |
| Date available:
|
2015-07-08T06:44:33Z |
| Last updated:
|
2023-06-05 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/702722 |
| . |
