MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain-Reference-Cited by-同舟云学术

MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain

Published:2018-09-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th European MPI Users' Group Meeting
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Author:

Valero-Lara Pedro¹,Sirvent Raül¹,Peña Antonio J.¹,Martorell Xavier²,Labarta Jesús²

Affiliation:

1. Barcelona Supercomputing Center (BSC)

2. Universitat Politècnica de Catalunya (UPC)

Funder

Spanish Ministry of Econ- omy and Competitiveness under the project Computación de Altas Prestaciones VII

Human Brain Project

Euro- pean Union's Horizon 2020 research and innovation program under the Marie Sklodowska Curie grand agreement

Departament dðInnovació, Universitats i Empresa de la Generalitat de Catalunya, under project MPEXPAR: Models de Programació i Entorns dðExecució Parallels

Publisher

ACM

Reference24 articles.

1. OpenMP Architecture Review Board. 2018. OpenMP Application Programming Interface. http://http://www.openmp.org/ (2018). OpenMP Architecture Review Board. 2018. OpenMP Application Programming Interface. http://http://www.openmp.org/ (2018).

2. Samuel Daniel Conte and Carl W. De Boor. 1980. Elementary Numerical Analysis: An Algorithmic Approach (3rd ed.). McGraw-Hill Higher Education. Samuel Daniel Conte and Carl W. De Boor. 1980. Elementary Numerical Analysis: An Algorithmic Approach (3rd ed.). McGraw-Hill Higher Education.

3. Ben Cumming. 2010. CoreNeuron Overview. CSCS - Swiss National Supercomputing Center (2010). Ben Cumming. 2010. CoreNeuron Overview. CSCS - Swiss National Supercomputing Center (2010).

4. cuSPARSE. 2018. NVIDIA-CUDA Toolkit Documentation. http://docs.nvidia.com/cuda/cusparse/ (2018). cuSPARSE. 2018. NVIDIA-CUDA Toolkit Documentation. http://docs.nvidia.com/cuda/cusparse/ (2018).

5. An Auto-tuned Method for Solving Large Tridiagonal Systems on the GPU

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