Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Parallel Processing |
Sources of information |
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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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Basic |
Francisco Almeida et al. (2008). Introducción a la programación paralela. Madrid : Paraninfo Cengage Learning Jesús Carretero Pérez et al. (2007). Sistemas operativos : una visión aplicada . Madrid : McGraw-Hill Giancarlo Zaccone (2015). Python Parallel Programming Cookbook. Packt Publishing Tomasz Drabas, Denny Lee (2017). Learning PySpark: Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0. Packt Publishing |
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Complementary |
Bertil Schmidt et al. (2017). Parallel programming : concepts and practic. Cambridge, MA : Morgan Kaufmann Peter S.Pacheco (2011). An introduction to parallel programming. Burlington, MA : Morgan Kaufmann Wes McKinney (2011). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. O'Reilly |
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