Prescriptive provenance for streaming analysis of workflows at scale
暂无分享,去创建一个
Dingwen Tao | Line Pouchard | Kevin Huck | Gyorgy Matyasfalvi | Li Tang | Huub Van Dam | Shinaje Yoo | Line C. Pouchard | K. Huck | Dingwen Tao | H. V. Dam | Gyorgy Matyasfalvi | L. Tang | Shinaje Yoo
[1] Mahsa Salehi,et al. A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams , 2014, PAKDD.
[2] Wei Xu,et al. Capturing provenance as a diagnostic tool for workflow performance evaluation and optimization , 2017, 2017 New York Scientific Data Summit (NYSDS).
[3] P. Kollman,et al. A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules , 1995 .
[4] Jianwu Wang,et al. Big data provenance: Challenges, state of the art and opportunities , 2015, 2015 IEEE International Conference on Big Data (Big Data).
[5] Arie Shoshani,et al. Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks , 2014, Concurr. Comput. Pract. Exp..
[6] Wei Xu,et al. Performance Visualization for TAU Instrumented Scientific Workflows , 2018, VISIGRAPP.
[7] Allen D. Malony,et al. A Scalable Observation System for Introspection and In Situ Analytics , 2016, 2016 5th Workshop on Extreme-Scale Programming Tools (ESPT).
[8] Burkhard Rost,et al. Structural basis for a pH-sensitive calcium leak across membranes , 2014, Science.
[9] Allen D. Malony,et al. The Tau Parallel Performance System , 2006, Int. J. High Perform. Comput. Appl..
[10] Hao Huang,et al. Physics-Based Anomaly Detection Defined on Manifold Space , 2014, TKDD.
[11] Alexander Goncearenco,et al. Coupling between Histone Conformations and DNA Geometry in Nucleosomes on a Microsecond Timescale: Atomistic Insights into Nucleosome Functions. , 2016, Journal of molecular biology.
[12] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD '00.
[13] Tjerk P. Straatsma,et al. NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations , 2010, Comput. Phys. Commun..
[14] Li Tang,et al. Use Cases of Computational Reproducibility for Scientific Workflows at Exascale , 2018, ArXiv.