| Educational guide School of Engineering |
english |
| Bachelor's Degree in Computer engineering (2010) |
 Subjects |
| PARALLEL AND MASSIVE COMPUTING |
| Learning outcomes |
| IDENTIFYING DATA | 2023_24 |
| Subject | PARALLEL AND MASSIVE COMPUTING | Code | 17234129 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Compulsory | Fourth | 2Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Learning outcomes |
| CM14 |
Know the architectures of general-purpose multiprocessors. Know the architectures of Shared-Memory Multiprocessors (SMM) and Distributed-Memory Multiprocessors (DMM). Design and implement parallel programs on CMM using MPI. Design and implement programs parallel to the DMM using MPI. | |
| CP3 |
Understand the general process of algorithm parallelisation and their design principles. Design and implement parallel programs on CMM using MPI. Design and implement programs parallel to the DMM using MPI. | |
| Type B | Code | Learning outcomes |
| CT5 |
Produce quality texts that have no grammatical or spelling errors, are properly structured and make appropriate and consistent use of formal and bibliographic conventions. Draw up texts that are structured, clear, cohesive, rich and of the appropriate length Draw up texts that are appropriate to the communicative situation, consistent and persuasive Use the techniques of non-verbal communication and the expressive resources of the voice to make a good oral presentation Draw up texts that are structured, clear, cohesive, rich and of the appropriate length Produce a persuasive, consistent and precise discourse that can explain complex ideas and effectively interact with the audience | |
| Type C | Code | Learning outcomes |
