Optimizing Neuron Brain Simulator With Remote Memory Access on Distributed Memory Systems

dc.contributor.author Shehzad, Danish
dc.contributor.author Bozkuş, Zeki
dc.contributor.author Bozkuş, Zeki
dc.contributor.other Computer Engineering
dc.date.accessioned 2019-06-28T11:10:47Z
dc.date.available 2019-06-28T11:10:47Z
dc.date.issued 2016
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.description.abstract The Complex neuronal network models require support from simulation environment for efficient network simulations. To compute the models increasing complexity necessitated the efforts to parallelize the NEURON simulation environment. The computational neuroscientists have extended NEURON by dividing the equations for its subnet among multiple processors for increasing the competence of hardware. For spiking neuronal networks inter-processor spikes exchange consume significant portion of overall simulation time on parallel machines. In NEURON Message Passing Interface (MPI) is used for inter processor spikes exchange MPI-Allgather collective operation is used for spikes exchange generated after each interval across distributed memory systems. However as the number of processors become larger and larger MPI-Allgather method become bottleneck and needs efficient exchange method to reduce the spike exchange time. This work has improved MPI-Allgather method to Remote Memory Access (RMA) based on MPI-3.0 for NEURON simulation environment MPI based on RMA provides significant advantages through increased communication concurrency in consequence enhances efficiency of NEURON and scaling the overall run time for the simulation of large network models.1 © 2015 IEEE. en_US]
dc.identifier.citationcount 0
dc.identifier.doi 10.1109/ICET.2015.7389167 en_US
dc.identifier.isbn 9781509004362
dc.identifier.scopus 2-s2.0-84963541942 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/1297
dc.identifier.uri https://doi.org/10.1109/ICET.2015.7389167
dc.identifier.wos WOS:000380481700003 en_US
dc.institutionauthor Shehzad, Danish en_US
dc.institutionauthor Bozkuş, Zeki en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.journal 2015 International Conference on Emerging Technologies (ICET) en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 5
dc.subject MPI en_US
dc.subject Neuron en_US
dc.subject Neuroscience en_US
dc.subject Parallelism en_US
dc.subject Remote Memory Access en_US
dc.subject Simulation Environment en_US
dc.title Optimizing Neuron Brain Simulator With Remote Memory Access on Distributed Memory Systems en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 1
dspace.entity.type Publication
relation.isAuthorOfPublication 14914cc2-2a09-46be-a429-12ef3a6f5456
relation.isAuthorOfPublication.latestForDiscovery 14914cc2-2a09-46be-a429-12ef3a6f5456
relation.isOrgUnitOfPublication fd8e65fe-c3b3-4435-9682-6cccb638779c
relation.isOrgUnitOfPublication.latestForDiscovery fd8e65fe-c3b3-4435-9682-6cccb638779c

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Optimizing NEURON Brain Simulator With Remote Memory Access On Distributed Memory Systems.pdf
Size:
370.29 KB
Format:
Adobe Portable Document Format
Description: