Paper Info
Title
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing.
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.
Year
DOI
Venue
2013
10.1109/eScience.2013.24
eScience
Keywords
Field
DocType
visualization expert,large data,visualization specialist,leadership scale computing resource,first step towards improving,available computing,interdisciplinary collaboration,big data,adios visualization schema,visualization schema,high performance computing,traditional application scientist,related computing field,application scientist,simulation,collaboration,schema,visualization,groupware,parallel processing
Data modeling,Data mining,World Wide Web,Data visualization,XML,Collaborative software,Visualization,Computer science,Big data,Schema (psychology),Software ecosystem,Distributed computing
Conference
ISSN
Citations 
PageRank 
2325-372X
1
0.35
References 
Authors
0
11
Name
Order
Citations
PageRank
Roselyne Tchoua1644.49
Jong Choi2144.62
Scott Klasky3154799.00
Qing Liu438925.62
Jeremy Logan515416.72
Kenneth Moreland671954.31
Jingqing Mu7182.06
Manish Parashar83876343.30
Norbert Podhorszki9104683.84
Dave Pugmire1015218.62
Matthew Wolf1110.35