MPI+OpenMP tasking scalability for multi-morphology simulations of the human brain
Visualitza/Obre
10.1016/j.parco.2019.03.006
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/173032
Tipus de documentArticle
Data publicació2019-05
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
ProjecteCOMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (EC-H2020-720270)
ECO-H-MEM - Advanced Ecosystem for Broad Heterogeneous Memory Usage (EC-H2020-749516)
HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (EC-H2020-720270)
ECO-H-MEM - Advanced Ecosystem for Broad Heterogeneous Memory Usage (EC-H2020-749516)
Abstract
The simulation of the behavior of the human brain is one of the most ambitious challenges today with a non-end of important applications. We can find many different initiatives in the USA, Europe and Japan which attempt to achieve such a challenging target. In this work, we focus on the most important European initiative (the Human Brain Project) and on one of the models developed in this project. This tool simulates the spikes triggered in a neural network by computing the voltage capacitance on the neurons’ morphology, being one of the most precise simulators today. In the present work, we have evaluated the use of MPI+OpenMP tasking on top of this framework. We prove that this approach is able to achieve a good scaling even when computing a relatively low workload (number of neurons) per node. One of our targets consists of achieving not only a highly scalable implementation, but also to develop a tool with a high degree of abstraction without losing control and performance by using MPI+OpenMP tasking. The main motivation of this work is the evaluation of this cutting-edge simulation on multi-morphology neural networks. The simulation of a high number of neurons, which are completely different among them, is an important challenge. In fact, in the multi-morphology simulations, we find an important unbalancing between the nodes, mainly due to the differences in the neurons, which causes an important under-utilization of the available resources. In this work, the authors present and evaluate mechanisms to deal with this and reduce the time of this kind of simulations considerably.
CitacióValero-Lara, P. [et al.]. MPI+OpenMP tasking scalability for multi-morphology simulations of the human brain. "Parallel computing", Maig 2019, vol. 84, p. 50-61.
ISSN0167-8191
Versió de l'editorhttps://www.sciencedirect.com/science/article/pii/S016781911830317X
Altres identificadorshttps://arxiv.org/abs/2005.06332
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