This title appears in the Scientific Report :
2017
Please use the identifier:
http://dx.doi.org/10.1007/978-3-319-53862-4_21 in citations.
A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC
A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC
Workflows for the acquisition and analysis of data in the natural sciences exhibit a growing degree of complexity and heterogeneity, are increasingly performed in large collaborative efforts, and often require the use of high-performance computing (HPC). Here, we explore the reasons for these new ch...
Saved in:
Personal Name(s): | Senk, Johanna (Corresponding author) |
---|---|
Yegenoglu, Alper (Corresponding author) / Amblet, Olivier / Brukau, Yury / Davison, Andrew / Lester, David Roland / Lührs, Anna / Quaglio, Pietro / Rostami, Vahid / Rowley, Andrew / Schuller, Bernd / Stokes, Alan Barry / van Albada, Sacha / Zielasko, Daniel / Diesmann, Markus / Weyers, Benjamin / Denker, Michael / Grün, Sonja | |
Contributing Institute: |
Jülich Supercomputing Center; JSC JARA - HPC; JARA-HPC Computational and Systems Neuroscience; IAS-6 Computational and Systems Neuroscience; INM-6 |
Published in: |
High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 21 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4 |
Imprint: |
Cham
Springer International Publishing
2017
|
Physical Description: |
243 - 256 |
ISBN: |
978-3-319-53861-7 (print) 978-3-319-53862-4 (electronic) |
DOI: |
10.1007/978-3-319-53862-4_21 |
Conference: | Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium, Aachen (Germany), 2016-10-04 - 2016-10-05 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Supercomputing and Modelling for the Human Brain Data-Intensive Science and Federated Computing Computational Science and Mathematical Methods Theory, modelling and simulation Connectivity and Activity SimLab Neuroscience The Human Brain Project Human Brain Project Specific Grant Agreement 1 |
Series Title: |
Lecture Notes in Computer Science
10164 |
Publikationsportal JuSER |
Workflows for the acquisition and analysis of data in the natural sciences exhibit a growing degree of complexity and heterogeneity, are increasingly performed in large collaborative efforts, and often require the use of high-performance computing (HPC). Here, we explore the reasons for these new challenges and demands and discuss their impact with a focus on the scientific domain of computational neuroscience. We argue for the need of software platforms integrating HPC systems that allow scientists to construct, comprehend and execute workflows composed of diverse data generation and processing steps using different tools. As a use case we present a concrete implementation of such a complex workflow, covering diverse topics such as HPC-based simulation using the NEST software, access to the SpiNNaker neuromorphic hardware platform, complex data analysis using the Elephant library, and interactive visualization methods for facilitating further analysis. Tools are embedded into a web-based software platform under development by the Human Brain Project, called the Collaboratory. On the basis of this implementation, we discuss the state of the art and future challenges in constructing large, collaborative workflows with access to HPC resources. |