ADIOS visualization schema: A first step towards improving interdisciplinary collaboration in high performance computing

Roselyne Tchoua, Jong Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Scientific communities have benefitted from a significant increase of available computing and storage resources in the last few decades. For science projects that have access to leadership scale computing resources, the capacity to produce data has been growing exponentially. Teams working on such projects must now include, in addition to the traditional application scientists, experts in various disciplines including applied mathematicians for development of algorithms, visualization specialists for large data, and I/O specialists. Sharing of knowledge and data is becoming a requirement for scientific discovery; providing useful mechanisms to facilitate this sharing is a key challenge for e-Science. Our hypothesis is that in order to decrease the time to solution for application scientists we need to lower the barrier of entry into related computing fields. We aim at improving users' experience when interacting with a vast software ecosystem and/or huge amount of data, while maintaining focus on their primary research field. In this context we present our approach to bridge the gap between the application scientists and the visualization experts through a visualization schema as a first step and proof of concept for a new way to look at interdisciplinary collaboration among scientists dealing with big data. The key to our approach is recognizing that our users are scientists who mostly work as islands. They tend to work in very specialized environment but occasionally have to collaborate with other researchers in order to take full advantage of computing innovations and get insight from big data. We present an example of identifying the connecting elements between one of such relationships and offer a liaison schema to facilitate their collaboration.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 9th International Conference on e-Science, e-Science 2013
PublisherIEEE Computer Society
Pages27-34
Number of pages8
ISBN (Print)9780768550831
DOIs
StatePublished - 2013
Externally publishedYes
Event9th IEEE International Conference on e-Science, e-Science 2013 - Beijing, China
Duration: Oct 22 2013Oct 25 2013

Publication series

NameProceedings - IEEE 9th International Conference on e-Science, e-Science 2013

Other

Other9th IEEE International Conference on e-Science, e-Science 2013
Country/TerritoryChina
CityBeijing
Period10/22/1310/25/13

All Science Journal Classification (ASJC) codes

  • Information Systems

Keywords

  • Collaboration
  • Experiments
  • Schema
  • Simulation
  • Visualization

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