About
The use of hardware accelerators in High Energy Physics (HEP) is becoming increasingly popular since they are able to significantly reduce the computational time and CPU resources needed for processing and analyzing data. This lecture aims to familiarize the audience with the concept of hardware accelerators and parallel programming. In the first part of the lecture, the concept of accelerators, co-processors and heterogeneity will be discussed, with a focus on the Graphical Processing Unit (GPU). An overview of some of the current applications of GPUs in HEP will also be presented. The second part of the lecture will serve as an introduction to CUDA, a programming model designed for general computing on GPUs.
Domain : Parallel programming.
0:00:00 Slide 1
0:02:13 Slide 2
0:04:03 Slide 3
0:05:30 Slide 4
0:07:25 Slide 5
0:09:46 Slide 6
0:11:48 Slide 7
0:13:36 Slide 8
0:14:56 Slide 9
0:17:04 Slide 10
The talk
Credits and licence
- Institution
- CERN
- Department
- Inverted CSC
- Speaker
- Charis Kleio Koraka
- Year
- 2023
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed