Eliot Feibush
Princeton Plasma Physics Laboratory
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Featured researches published by Eliot Feibush.
challenges of large applications in distributed environments | 2004
Katarzyna Keahey; Michael E. Papka; Qian Peng; David P. Schissel; G. Abla; Takuya Araki; Justin Burruss; Eliot Feibush; Peter Lane; Scott Klasky; Ti Leggett; D. McCune; Lewis Randerson
The National Fusion Collaboratory focuses on enabling fusion scientists to explore grid capabilities in support of experimental science. Fusion experiments are structured as a series of plasma pulses initiated roughly every 20 minutes. In the between-pulse intervals scientists perform data analysis and discuss results to reach decisions affecting changes to the next plasma pulse. This interaction can be made more efficient by performing more analysis and engaging more expertise from a geographically distributed team of scientists and resources. In this paper, we describe a virtual control room experiment that unites collaborative, visualization, and grid technologies to provide such environment and shows how their combined effect can advance experimental science. We also report on FusionGrid services whose use during the fusion experimental cycle became possible for the first time thanks to this technology. We also describe the Access Grid, experimental data presentation tools, and agreement-based resource management and workflow systems enabling time-bounded end-to-end application execution. The first virtual control room experiment represented a mock-up of a remote interaction with the DIII-D control room and was presented at SC03 and later reviewed at an international ITER Grid Workshop.
Cluster Computing | 2005
Katarzyna Keahey; Michael E. Papka; Qian Peng; David P. Schissel; G. Abla; Takuya Araki; Justin Burruss; Eliot Feibush; Peter Lane; Scott Klasky; Ti Leggett; D. McCune; Lewis Randerson
The National Fusion Collaboratory project seeks to enable fusion scientists to exploit Grid capabilities in support of experimental science. To this end we are exploring the concept of a collaborative control room that harnesses Grid and collaborative technologies to provide an environment in which remote experimental devices, codes, and expertise can interact in real time during an experiment. This concept has the potential to make fusion experiments more efficient by enabling researchers to perform more analysis and by engaging more expertise from a geographically distributed team of scientists and resources. As the realities of software development, talent distribution, and budgets increasingly encourage pooling resources and specialization, we see such environments as a necessary tool for future science.In this paper, we describe an experimental mock-up of a remote interaction with the DIII-D control room. The collaborative control room was demonstrated at SC03 and later reviewed at an international ITER Grid Workshop. We describe how the combined effect of various technologies—collaborative, visualization, and Grid—can be used effectively in experimental science. Specifically, we describe the Access Grid, experimental data presentation tools, and agreement-based resource management and workflow systems enabling time-bounded end-to-end application execution. We also report on FusionGrid services whose use during the fusion experimental cycle became possible for the first time thanks to this technology, and we discuss its potential use in future fusion experiments.
Archive | 2012
David P. Schissel; G. Abla; Justin Burruss; Eliot Feibush; Tom W. Fredian; M. M. Goode; M. Greenwald; Katarzyna Keahey; Ti Leggett; K. Li; D. McCune; Michael E. Papka; Lewis Randerson; A. Sanderson; J. Stillerman; Mary R. Thompson; T. Uram; G. Wallace
This report summarizes the work of the University of Utah, which was a member of the National Fusion Collaboratory (NFC) Project funded by the United States Department of Energy (DOE) under the Scientific Discovery through Advanced Computing Program (SciDAC) to develop a persistent infrastructure to enable scientific collaboration for magnetic fusion research. A five year project that was initiated in 2001, it the NFC built on the past collaborative work performed within the U.S. fusion community and added the component of computer science research done with the USDOE Office of Science, Office of Advanced Scientific Computer Research. The project was itself a collaboration, itself uniting fusion scientists from General Atomics, MIT, and PPPL and computer scientists from ANL, LBNL, and Princeton University, and the University of Utah to form a coordinated team. The group leveraged existing computer science technology where possible and extended or created new capabilities where required. The complete finial report is attached as an addendum. The In the collaboration, the primary technical responsibility of the University of Utah in the collaboration was to develop and deploy an advanced scientific visualization service. To achieve this goal, the SCIRun Problem Solving Environment (PSE) is used on FusionGrid for an advanced scientific visualization service. SCIRun is open source software that gives the user the ability to create complex 3D visualizations and 2D graphics. This capability allows for the exploration of complex simulation results and the comparison of simulation and experimental data. SCIRun on FusionGrid gives the scientist a no-license-cost visualization capability that rivals present day commercial visualization packages. To accelerate the usage of SCIRun within the fusion community, a stand-alone application built on top of SCIRun was developed and deployed. This application, FusionViewer, allows users who are unfamiliar with SCIRun to quickly create visualizations and perform analysis of their simulation data from either the MDSplus data storage environment or from locally stored HDF5 files. More advanced tools for visualization and analysis also were created in collaboration with the SciDAC Center for Extended MHD Modeling. Versions of SCIRun with the FusionViewer have been made available to fusion scientists on the Mac OS X, Linux, and other Unix based platforms and have been downloaded 1163 times. SCIRun has been used with NIMROD, M3D, BOUT fusion simulation data as well as simulation data from other SciDAC application areas (e.g., Astrophysics). The subsequent visualization results - including animations - have been incorporated into invited talks at multiple APS/DPP meetings as well as peer reviewed journal articles. As an example, SCIRun was used for the visualization and analysis of a NIMROD simulation of a disruption that occurred in a DIII-D experiment. The resulting animations and stills were presented as part of invited talks at APS/DPP meetings and the SC04 conference in addition to being highlighted in the NIH/NSF Visualization Research Challenges Report. By achieving its technical goals, the University of Utah played a key role in the successful development of a persistent infrastructure to enable scientific collaboration for magnetic fusion research. Many of the visualization tools developed as part of the NFC continue to be used by Fusion and other SciDAC application scientists and are currently being supported and expanded through follow-on up on SciDAC projects (Visualization and Analytics Center for Enabling Technology, and the Visualization and Analysis in Support of Fusion SAP).
international conference on computer graphics and interactive techniques | 2006
Eliot Feibush; G.J. Kramer; Ernest J. Valeo; R. Nazikian; D. McCune
Building a web service around a physics simulation code written in Fortran has been an effective approach for adding graphical input, visualizing the output, and making the simulation available to scientists. A multi-tier system was developed to optimize computing and display resources while making minimal changes to the original Fortran code. The amount of data in the simulation exceeds the memory limit of applets running in browsers. This limitation was overcome by compressing the data on the server before transferring the data to the client. Displaying the results involves blending images at varying resolutions that would also exceed the memory limit of the applet for zoom in viewing transformations. This was solved by mapping the target display region to the source images and transforming only the visible pixels to the blend buffer. A set of reusable scientific graphics classes were developed for upgrading a number of other legacy fusion codes.
Nature Physics | 2018
J.-K. Park; Y.M. Jeon; Y. In; Joon-Wook Ahn; R. Nazikian; Gunyoung Park; Jaehyun Kim; Hyungho Lee; W.H. Ko; Hyun-Seok Kim; N.C. Logan; Z.R. Wang; Eliot Feibush; J. Menard; Michael C. Zarnstroff
Bulletin of the American Physical Society | 2016
Matthew Parsons; William Tang; Eliot Feibush
Bulletin of the American Physical Society | 2016
Hadar Lazar; Marlene Patino; Yevgeny Raitses; Bruce E. Koel; Charles A. Gentile; Eliot Feibush
Bulletin of the American Physical Society | 2013
Ante Qu; Stephane Ethier; Eliot Feibush; R. B. White
Bulletin of the American Physical Society | 2013
Benjamin Horowitz; Ahmed Diallo; Eliot Feibush; Benoit P. Leblanc
Bulletin of the American Physical Society | 2012
Eliot Feibush; Stephane Ethier; W.X. Wang; William Tang