Kerstin Kleese van Dam - researchr profile publications

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Publications with a 'Kerstin Kleese van Dam' as author, editor, or advisor:

Leveraging large sensor streams for robust cloud controlAlok Singh, Eric G. Stephan, Todd Elsethagen, Matt Macduff, Bibi Raju, Malachi Schram, Kerstin Kleese van Dam, Darren J. Kerbyson, Ilkay Altintas. bigdataconf 2016: 2115-2120 [doi]
3D imaging of microbial biofilms: Integration of synchrotron imaging and an interactive visualization interfaceMathew Thomas, Matthew J. Marshall, Erin A. Miller, Andrew P. Kuprat, Kerstin Kleese van Dam, James P. Carson. embc 2014: 3304-3307 [doi]
A Scientific Data Provenance API for Distributed ApplicationsBibi Raju, Todd Elsethagen, Eric G. Stephan, Kerstin Kleese van Dam. cts 2016: 104-111 [doi]
Designing the Cloud-Based DOE Systems Biology KnowledgebaseCarina Lansing, Yan Liu, Jian Yin, Abigail L. Corrigan, Zoe Guillen, Kerstin Kleese van Dam, Ian Gorton. ipps 2011: 1062-1071 [doi]
Computing Just What You Need: Online Data Analysis and Reduction at Extreme ScalesIan T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo. europar 2017: 3-19 [doi]
Performance Visualization for TAU Instrumented Scientific WorkflowsCong Xie, Wei Xu, Sungsoo Ha, Kevin A. Huck, Sameer Shende, Hubertus van Dam, Kerstin Kleese van Dam, Klaus Mueller. grapp 2018: 333-340 [doi]
Trelliscope: A system for detailed visualization in the deep analysis of large complex dataRyan Hafen, Luke J. Gosink, Jason McDermott, Karin Rodland, Kerstin Kleese van Dam, William S. Cleveland. ldav 2013: 105-112 [doi]
Online data analysis and reduction: An important Co-design motif for extreme-scale computersIan T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi 0001, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo 0001, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang 0001, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu 0020, Igor Yakushin, Shinjae Yoo, Todd S. Munson. ijhpca, 35(6):617-635, 2021. [doi]
ICAT: Integrating Data Infrastructure for Facilities Based ScienceDamian Flannery, Brian Matthews, Tom Griffin, Juan Bicarregui, Michael Gleaves, Laurent Lerusse, Roger Downing, Alun Ashton, Shoaib Sufi, Glen Drinkwater, Kerstin Kleese van Dam. eScience 2009: 201-207 [doi]
Large-scale exploratory analysis, cleaning, and modeling for event detection in real-world power systems dataRyan Hafen, Tara D. Gibson, Kerstin Kleese van Dam, Terence Critchlow. sc 2013: [doi]
Management, analysis, and visualization of experimental and observational data - The convergence of data and computingE. Wes Bethel, Martin Greenwald, Kerstin Kleese van Dam, Manish Parashar, Stefan M. Wild, H. Steven Wiley. eScience 2016: 213-222 [doi]
Using a Core Scientific Metadata Model in Large-Scale FacilitiesBrian Matthews, Shoaib Sufi, Damian Flannery, Laurent Lerusse, Tom Griffin, Michael Gleaves, Kerstin Kleese van Dam. ijdc, 5(1):106-118, 2010. [doi]
Build less code deliver more science: an experience report on composing scientific environments using component-based and commodity software platformsIan Gorton, Yan Liu, Carina Lansing, Todd Elsethagen, Kerstin Kleese van Dam. cbse 2013: 159-168 [doi]
MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space ViewsWen Zhong, Wei Xu, Kevin G. Yager, Gregory S. Doerk, Jian Zhao, Yunke Tian, Sungsoo Ha, Cong Xie, Yuan Zhong, Klaus Mueller, Kerstin Kleese van Dam. vi, 2(1):14-25, 2018. [doi]
Experimental Data Curation at Large Instrument Facilities with Open Source SoftwareLine Pouchard, Kerstin Kleese van Dam, Stuart I. Campbell. ijdc, 14(1):114-125, 2019. [doi]
PrefaceWill Bridewell, Yolanda Gil, Haym Hirsh, Kerstin Kleese van Dam, Karsten Steinhaeuser. aaaifs 2012: [doi]
Velo and REXAN - Integrated data management and high speed analysis for experimental facilitiesKerstin Kleese van Dam, James P. Carson, Abigail L. Corrigan, Daniel R. Einstein, Zoe Guillen, Brandi Heath, Andrew P. Kuprat, Ingela Lanekoff, Carina Lansing, Julia Laskin, Dongsheng Li, Yan Liu, Matthew Marshall, Erin Miller, Galya Orr, Paulo Pinheiro da Silva, Seun Ryu, Craig Szymanski, Mathew Thomas. eScience 2012: 1-9 [doi]
Computational reproducibility of scientific workflows at extreme scalesLine Pouchard, Sterling Baldwin, Todd Elsethagen, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam. ijhpca, 33(5), 2019. [doi]
The future of scientific workflowsEwa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter. ijhpca, 32(1):159-175, 2018. [doi]
Visualization of high resolution spatial mass spectrometric data during acquisitionMathew Thomas, Brandi S. Heath, Julia Laskin, Dongsheng Li, Ellen Liu, Katrina Hui, Andrew P. Kuprat, Kerstin Kleese van Dam, James P. Carson. embc 2012: 5545-5548 [doi]
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis ToolChristopher Kelly, Sungsoo Ha, Kevin A. Huck, Hubertus van Dam, Line Pouchard, Gyorgy Matyasfalvi, Li Tang, Nicholas D'Imperio, Wei Xu 0020, Shinjae Yoo, Kerstin Kleese van Dam. sc 2020: 15-19 [doi]

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