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000828103 0247_ $$2ISSN$$a1611-3349
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000828103 1001_ $$0P:(DE-Juel1)162130$$aSenk, Johanna$$b0$$eCorresponding author$$ufzj
000828103 1112_ $$aJülich Aachen Research Alliance (JARA) High-Performance Computing Symposium$$cAachen$$d2016-10-04 - 2016-10-05$$gJHPCS '16$$wGermany
000828103 245__ $$aA Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC
000828103 260__ $$aCham$$bSpringer International Publishing$$c2017
000828103 29510 $$aHigh-Performance Scientific Computing / Di Napoli, Edoardo (Editor)   ; Cham : Springer International Publishing, 2017, Chapter 21 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4
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000828103 4900_ $$aLecture Notes in Computer Science$$v10164
000828103 520__ $$aWorkflows 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.
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000828103 7001_ $$0P:(DE-Juel1)161462$$aYegenoglu, Alper$$b1$$eCorresponding author$$ufzj
000828103 7001_ $$0P:(DE-HGF)0$$aAmblet, Olivier$$b2
000828103 7001_ $$0P:(DE-HGF)0$$aBrukau, Yury$$b3
000828103 7001_ $$0P:(DE-HGF)0$$aDavison, Andrew$$b4
000828103 7001_ $$0P:(DE-HGF)0$$aLester, David Roland$$b5
000828103 7001_ $$0P:(DE-Juel1)132291$$aLührs, Anna$$b6$$ufzj
000828103 7001_ $$0P:(DE-Juel1)164108$$aQuaglio, Pietro$$b7$$ufzj
000828103 7001_ $$0P:(DE-Juel1)156383$$aRostami, Vahid$$b8$$ufzj
000828103 7001_ $$0P:(DE-HGF)0$$aRowley, Andrew$$b9
000828103 7001_ $$0P:(DE-Juel1)132261$$aSchuller, Bernd$$b10$$ufzj
000828103 7001_ $$0P:(DE-HGF)0$$aStokes, Alan Barry$$b11
000828103 7001_ $$0P:(DE-Juel1)138512$$avan Albada, Sacha$$b12$$ufzj
000828103 7001_ $$0P:(DE-HGF)0$$aZielasko, Daniel$$b13
000828103 7001_ $$0P:(DE-Juel1)144174$$aDiesmann, Markus$$b14$$ufzj
000828103 7001_ $$0P:(DE-HGF)0$$aWeyers, Benjamin$$b15
000828103 7001_ $$0P:(DE-Juel1)144807$$aDenker, Michael$$b16$$ufzj
000828103 7001_ $$0P:(DE-Juel1)144168$$aGrün, Sonja$$b17$$ufzj
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