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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Parallel Processing |
| Contents |
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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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| Topic | Sub-topic |
| Chapter 1 - Introduction and previous concepts | * The process and sequential program * Lifecycle of a process * Threads * Paralell program * Usefulness of parallelism |
| Chapter 2 - Hardware parellelism, hierarchy | * Levels of parallelism * Internal processor parallelism (hidden) * Processor functionalities (low-level parallelism) * Processor accessible resources (high-level parallelism) * Pool of machines (Cluster and Supercomputer) * Distributed computing * Specific devices * State of the art of processors |
| Chapter 3 - Software parallelism, design and implementation | * Flynn taxonomy * Frameworks and languages for parallelism * Key concepts * Paradigms for parallel processing * Parallel programs analysis * Parallel programs design |
| Chapter 4 - Big Data technologies | * Data storage * Resource and execution management * Batch processing * Streaming processing |
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