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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Parallel Processing |
| Learning aims |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Parallel Processing | Code | 614G02023 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Third | Obligatory | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Know of and understand the technical requirements and the current technologies that allow for parallelism. | A12 |
B8 B9 |
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| Know of the different currently available technologies to implement parallelism, their applicability, limits, advantages and disadvantages. | A12 |
B2 B4 B8 B9 |
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| Be able to use parallelism techniques to adapt existing solutions so that they allow parallel processing. | A12 |
B2 B4 B7 B8 B9 B10 |
C1 |
| Be able to analyze the performance if a processing solution, with and without parallelization. | A12 |
B2 B4 B7 B8 B9 B10 |
C1 |
| Understand the paper that parallelization plays in today's society when it comes to key data processing tasks in business and research. | A12 |
B3 B4 B8 B10 |
C4 |
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