Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs

Author:

Amela Ramon1,Ramon-Cortes Cristian1,Ejarque Jorge1,Conejero Javier1,Badia Rosa M.2

Affiliation:

1. Barcelona Supercomputing Center, Barcelona, Spain

2. Barcelona Supercomputing Center, Barcelona, Spain, Consejo Superior de Investigaciones Cientificas (CSIC), Barcelona, Spain

Publisher

ACM

Reference37 articles.

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3. (Date of last access: 10th October 2017). Parallel Python Software. Web page at http://www.parallelpython.com. ((Date of last access: 10th October 2017)). (Date of last access: 10th October 2017). Parallel Python Software. Web page at http://www.parallelpython.com. ((Date of last access: 10th October 2017)).

4. (Date of last access: 19th December 2016). Extrae. Web page at https://tools.bsc.es/extrae. ((Date of last access: 19th December 2016)). (Date of last access: 19th December 2016). Extrae. Web page at https://tools.bsc.es/extrae. ((Date of last access: 19th December 2016)).

5. (Date of last access: 19th December 2016). Paraver: a flexible performance analysis tool. Web page at https://tools.bsc.es/paraver. ((Date of last access: 19th December 2016)). (Date of last access: 19th December 2016). Paraver: a flexible performance analysis tool. Web page at https://tools.bsc.es/paraver. ((Date of last access: 19th December 2016)).

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