{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:08:41Z","timestamp":1766268521051,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031232190"},{"type":"electronic","value":"9783031232206"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-23220-6_20","type":"book-chapter","created":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T07:03:51Z","timestamp":1672729431000},"page":"295-305","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Insite: A Pipeline Enabling In-Transit Visualization and\u00a0Analysis for\u00a0Neuronal Network Simulations"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0085-268X","authenticated-orcid":false,"given":"Marcel","family":"Kr\u00fcger","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6504-2293","authenticated-orcid":false,"given":"Simon","family":"Oehrl","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6430-1377","authenticated-orcid":false,"given":"Ali C.","family":"Demiralp","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7720-9211","authenticated-orcid":false,"given":"Sebastian","family":"Spreizer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3536-3082","authenticated-orcid":false,"given":"Jens","family":"Bruchertseifer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2144-4367","authenticated-orcid":false,"given":"Torsten W.","family":"Kuhlen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9296-7224","authenticated-orcid":false,"given":"Tim","family":"Gerrits","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4785-708X","authenticated-orcid":false,"given":"Benjamin","family":"Weyers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,4]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Akar, N.A., et al.: Arbor \u2013 a morphologically-detailed neural network simulation library for contemporary high-performance computing architectures. In: 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), pp. 274\u2013282, February 2019","DOI":"10.1109\/EMPDP.2019.8671560"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Ayachit, U., et al.: Paraview catalyst: enabling in situ data analysis and visualization. In: Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, pp. 25\u201329 (2015)","DOI":"10.1145\/2828612.2828624"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Bauer, A.C., et al.: In situ methods, infrastructures, and applications on high performance computing platforms. In: Computer Graphics Forum, vol. 35, pp. 577\u2013597. Wiley Online Library (2016)","DOI":"10.1111\/cgf.12930"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Carnevale, N.T., Hines, M.L.: The NEURON Book. Cambridge University Press, Cambridge (2006)","DOI":"10.1017\/CBO9780511541612"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Chen, X., et al.: In situ tensorview: in situ visualization of convolutional neural networks. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 1899\u20131904. IEEE (2018)","DOI":"10.1109\/BigData.2018.8622443"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Childs, H.: Architectural challenges and solutions for petascale postprocessing. J. Phys. Conf. Ser. 78, 012012. IOP Publishing (2007)","DOI":"10.1088\/1742-6596\/78\/1\/012012"},{"issue":"4","key":"20_CR7","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1023\/B:JCAM.0000046822.54719.4f","volume":"18","author":"S Crivelli","year":"2004","unstructured":"Crivelli, S., Kreylos, O., Hamann, B., Max, N., Bethel, W.: ProteinShop: a tool for interactive protein manipulation and steering. J. Comput. Aided Mol. Des. 18(4), 271\u2013285 (2004)","journal-title":"J. Comput. Aided Mol. Des."},{"key":"20_CR8","unstructured":"Denker, M., Yegenoglu, A., Gr\u00fcn, S.: Collaborative HPC-enabled workflows on the HBP Collaboratory using the elephant framework. In: Neuroinformatics 2018, p. P19 (2018)"},{"issue":"1","key":"20_CR9","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1186\/s40668-016-0017-2","volume":"3","author":"B Friesen","year":"2016","unstructured":"Friesen, B., et al.: In situ and in-transit analysis of cosmological simulations. Comput. Astrophys. Cosmol. 3(1), 4 (2016)","journal-title":"Comput. Astrophys. Cosmol."},{"key":"20_CR10","doi-asserted-by":"publisher","first-page":"44","DOI":"10.3389\/fninf.2016.00044","volume":"10","author":"SE Galindo","year":"2016","unstructured":"Galindo, S.E., Toharia, P., Robles, O.D., Pastor, L.: ViSimpl: multi-view visual analysis of brain simulation data. Front. Neuroinform. 10, 44 (2016)","journal-title":"Front. Neuroinform."},{"issue":"4","key":"20_CR11","doi-asserted-by":"publisher","first-page":"1430","DOI":"10.4249\/scholarpedia.1430","volume":"2","author":"MO Gewaltig","year":"2007","unstructured":"Gewaltig, M.O., Diesmann, M.: Nest (neural simulation tool). Scholarpedia 2(4), 1430 (2007)","journal-title":"Scholarpedia"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Klijn, W., Diaz-Pier, S., Morrison, A., Peyser, A.: Staged deployment of interactive multi-application HPC workflows. arXiv preprint arXiv:1907.12275 (2019)","DOI":"10.1109\/HPCS48598.2019.9188104"},{"key":"20_CR13","doi-asserted-by":"publisher","first-page":"32","DOI":"10.3389\/fninf.2018.00032","volume":"12","author":"C Nowke","year":"2018","unstructured":"Nowke, C., et al.: Toward rigorous parameterization of underconstrained neural network models through interactive visualization and steering of connectivity generation. Front. Neuroinform. 12, 32 (2018)","journal-title":"Front. Neuroinform."},{"key":"20_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1007\/978-3-030-02465-9_18","volume-title":"High Performance Computing","author":"S Oehrl","year":"2018","unstructured":"Oehrl, S., et al.: Streaming live neuronal simulation data into visualization and analysis. In: Yokota, R., Weiland, M., Shalf, J., Alam, S. (eds.) ISC High Performance 2018. LNCS, vol. 11203, pp. 258\u2013272. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-02465-9_18"},{"issue":"1465","key":"20_CR15","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1098\/rstb.2005.1779","volume":"361","author":"D Parker","year":"2006","unstructured":"Parker, D.: Complexities and uncertainties of neuronal network function. Philos. Trans. R. Soc. B Biol. Sci. 361(1465), 81\u201399 (2006)","journal-title":"Philos. Trans. R. Soc. B Biol. Sci."},{"key":"20_CR16","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3389\/fninf.2013.00010","volume":"7","author":"P Sanz Leon","year":"2013","unstructured":"Sanz Leon, P., et al.: The virtual brain: a simulator of primate brain network dynamics. Front. Neuroinform. 7, 10 (2013)","journal-title":"Front. Neuroinform."},{"key":"20_CR17","doi-asserted-by":"publisher","first-page":"75","DOI":"10.3389\/fninf.2018.00075","volume":"12","author":"J Senk","year":"2018","unstructured":"Senk, J., Carde, C., Hagen, E., Kuhlen, T.W., Diesmann, M., Weyers, B.: Viola-a multi-purpose and web-based visualization tool for neuronal-network simulation output. Front. Neuroinform. 12, 75 (2018)","journal-title":"Front. Neuroinform."},{"key":"20_CR18","unstructured":"Sontheimer, K.: In transit coupling of neuroscientific simulation and analysis on high performance computing systems. Master\u2019s thesis, Aachen University of Applied Sciences (2019)"},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Spreizer, S., Senk, J., Rotter, S., Diesmann, M., Weyers, B.: Nest desktop, an educational application for neuroscience. eNeuro 8(6) (2021)","DOI":"10.1523\/ENEURO.0274-21.2021"},{"key":"20_CR20","unstructured":"Whitlock, B., Favre, J.M., Meredith, J.S.: Parallel in situ coupling of simulation with a fully featured visualization system. In: Proceedings of the 11th Eurographics Conference on Parallel Graphics and Visualization, pp. 101\u2013109. EGPGV 2011, Eurographics Association, Goslar, DEU (2011)"}],"container-title":["Lecture Notes in Computer Science","High Performance Computing. ISC High Performance 2022 International Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-23220-6_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T13:11:22Z","timestamp":1683551482000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-23220-6_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031232190","9783031232206"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-23220-6_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"4 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISC High Performance","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on High Performance Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hamburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"37","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"supercomputing2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Linklings","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"34% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"For the workshops a 27 papers have been accepted for publication out of a total of 43 submissions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}