BrainFrame: a node-level heterogeneous accelerator platform for neuron simulations

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Search: onr:"swepub:oai:research.chalmers.se:eebb3748-e984-41a4-b031-dfab216b5d00" > BrainFrame: a node-...

1 of 1
Previous record
Next record
To hitlist

BrainFrame: a node-level heterogeneous accelerator platform for neuron simulations

Smaragdos, G. (author): Erasmus Universiteit Rotterdam,Erasmus University Rotterdam

Chatzikonstantis, Georgios (author): National Technical University of Athens (NTUA)

Kukreja, Rahul (author): Technische Universiteit Delft,Delft University of Technology (TU Delft)

Sidiropoulos, Harry (author): National Technical University of Athens (NTUA)

Rodopoulos, Dimitrios (author): Interuniversitair Micro-Elektronica Centrum (IMEC)

Sourdis, Ioannis, 1979 (author): Chalmers tekniska högskola,Chalmers University of Technology

Al-Ars, Zaid (author): Technische Universiteit Delft,Delft University of Technology (TU Delft)

Kachris, Christoforos (author): National Technical University of Athens (NTUA)

Soudris, D. (author): National Technical University of Athens (NTUA)

De Zeeuw, Chris (author): Erasmus Universiteit Rotterdam,Erasmus University Rotterdam

Strydis, C. (author): Erasmus Universiteit Rotterdam,Erasmus University Rotterdam

show less...

(creator_code:org_t)

2017-11-13
2017
English.
In: Journal of Neural Engineering. - : IOP Publishing. - 1741-2560 .- 1741-2552. ; 14:6

Related links:: http://dx.doi.org/10...; show more...; https://research.cha... (primary) (free); https://doi.org/10.1...; https://research.cha...; https://doi.org/10.1...; show less...

Journal article (peer-reviewed)

Abstract Subject headings

Objective: The advent of High-Performance Computing (HPC) in recent years has led to its increasing use in brain study through computational models. The scale and complexity of such models are constantly increasing, leading to challenging computational requirements. Even though modern HPC platforms can often deal with such challenges, the vast diversity of the modeling field does not permit for a homogeneous acceleration platform to effectively address the complete array of modeling requirements. Approach: In this paper we propose and build BrainFrame, a heterogeneous acceleration platform that incorporates three distinct acceleration technologies, an Intel Xeon-Phi CPU, a NVidia GP-GPU and a Maxeler Dataflow Engine. The PyNN software framework is also integrated into the platform. As a challenging proof of concept, we analyze the performance of BrainFrame on different experiment instances of a state-of-the-art neuron model, representing the Inferior-Olivary Nucleus using a biophysically-meaningful, extended Hodgkin-Huxley representation. The model instances take into account not only the neuronal-network dimensions but also different network-connectivity densities, which can drastically affect the workload's performance characteristics. Main results: The combined use of different HPC fabrics demonstrated that BrainFrame is better able to cope with the modeling diversity encountered in realistic experiments. Our performance analysis shows clearly that the model directly affects performance and all three technologies are required to cope with all the model use cases. Significance: The BrainFrame framework is designed to transparently configure and select the appropriate back-end accelerator technology for use per simulation run. The PyNN integration provides a familiar bridge to the vast number of models already available. Additionally, it gives a clear roadmap for extending the platform support beyond the proof of concept, with improved usability and directly useful features to the computational-neuroscience community, paving the way for wider adoption.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Annan klinisk medicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Other Clinical Medicine (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Keyword

cerebellum

Publication and Content Type

art (subject category)
ref (subject category)

Find in a library

Journal of Neural Engineering (Search for host publication in LIBRIS)

To the university's database

1 of 1
Previous record
Next record
To hitlist

Find more in SwePub

By the author/editor: Smaragdos, G.; Chatzikonstantis ...; Kukreja, Rahul; Sidiropoulos, Ha ...; Rodopoulos, Dimi ...; Sourdis, Ioannis ...; show more...; Al-Ars, Zaid; Kachris, Christo ...; Soudris, D.; De Zeeuw, Chris; Strydis, C.; show less...

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Other Clinical M ...

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Radiology Nuclea ...

Articles in the publication: Journal of Neura ...

By the university: Chalmers University of Technology

Search outside SwePub

Extend your search to:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se