Optimal mapping of inferior olive neuron simulations on the Single-Chip Cloud Computer

Dimitrios Rodopoulos*, Giorgos Chatzikonstantis, Andreas Pantelopoulos, Dimitrios Soudris, Chris I. De Zeeuw, Christos Strydis

*Corresponding author for this work

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

8 Citations (Scopus)

Abstract

Biologically accurate neuron simulations are increasingly important in research related to brain activity. They are computationally intensive and feature data and task parallelism. In this paper, we present a case study for the mapping of a biologically accurate inferior-olive (InfOli), neural cell simulator on an many-core research platform. The Single-Chip Cloud Computer (SCC) is an experimental processor created by Intel Labs. The target neurons provide a major input to the cerebellum and are involved in motor skills and space perception. We exploit task-and data-partitioning, scaling the simulation over more than 40,000 neurons. The voltage-and frequency-scaling capabilities of the chip are explored, achieving more than 20% energy savings with negligible performance degradation. Four platform configurations are evaluated and a mapping with balanced workload and constant voltage and frequency is formally derived as optimal.

Original languageEnglish
Title of host publicationProceedings - International Conference on Embedded Computer Systems
Subtitle of host publicationArchitectures, Modeling and Simulation, SAMOS 2014
EditorsAlexander V. Veidenbaum, Carlo Galuzzi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages367-374
Number of pages8
ISBN (Electronic)9781479937707
DOIs
Publication statusPublished - 2014
Event14th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014 - Samos, Greece
Duration: 14 Jul 201417 Jul 2014

Publication series

SeriesProceedings - International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014

Conference

Conference14th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014
Country/TerritoryGreece
CitySamos
Period14/07/1417/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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