Performance and energy effects on task-based parallelized applications

Author:

Caminal HelenaORCID,Caballero Diego,Cebrián Juan M.,Ferrer Roger,Casas Marc,Moretó Miquel,Martorell Xavier,Valero Mateo

Funder

Spanish Government

Spanish Ministry of Science and Innovation

Generalitat de Catalunya

European Research Council

Ministry of Economy and Competitiveness

EU FP7

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference12 articles.

1. Maleki S et al (2011) An evaluation of vectorizing compilers. In: Proceedings of the 2011 International Conference on Parallel Architectures and Compilation Techniques, ser. PACT ’11. IEEE Computer Society, Washington, DC, pp 372–382

2. Cebrian JM, Jahre M, Natvig L (2015) ParVec: vectorizing the PARSEC benchmark suite. Computing 97(11):1077–1100

3. Programming Models, Barcelona Supercomputing Center (2011) The Mercurium $$\text{C}/\text{ C }++$$ C / C + + Source-to-source Compiler Website. http://pm.bsc.es/projects/mcxx . Accessed 1 Jan 2017

4. Duran A et al (2011) OmpSs: a proposal for programming heterogeneous multi-core architetcures. Parallel Process Lett 21:173–193

5. Caballero de Gea DL (2015) SIMD@OpenMP: a programming model approach to leverage SIMD features. PhD Thesis. http://www.tdx.cat/handle/10803/334171 . Accessed 1 Jan 2017

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1. Using long vector extensions for MPI reductions;Parallel Computing;2022-03

2. Using Advanced Vector Extensions AVX-512 for MPI Reductions;27th European MPI Users' Group Meeting;2020-09-21

3. On the energy consumption of Load/Store AVX instructions;Proceedings of the 2018 Federated Conference on Computer Science and Information Systems;2018-09-26

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