Parallel computing learning in electronic engineering based in the treatment of images
- Resource Type
- Conference
- Authors
- Rodrigo, Miguel; Liberos, Alejandro; Ramos, German; Cerda, Joaquin
- Source
- 2022 Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (XV Technologies Applied to Electronics Teaching Conference) Tecnología, Aprendizaje y Enseñanza de la Electrónica (XV Technologies Applied to Electronics Teaching Conference) , 2022 Congreso de. :1-5 Jun, 2022
- Subject
- Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Training
Three-dimensional displays
Image coding
Parallel programming
Image synthesis
Memory management
Graphics processing units
Parallel computing methodologies
Graphics Processing Units
CUDA
Computer graphics
- Language
- ISSN
- 2766-2616
This work presents the main activities and results of a parallel programming learning process for Graphics Processing Units (GPU) language CUDA based on algorithms for processing and generating 2D and 3D images. The proposed learning activities focus on the key points of parallel programming, such as the optimal use of the different types of memory. The learning process has been proposed as a set of master classes on image theory and parallel programming, along with practical CUDA programming sessions for 2D and 3D image generation and processing. Results show the student satisfaction for the proposed learning process and similar marks than before its application.