What Do Gravitational Waves and Kidney Tumors Have in Common? Not Much Except Advanced Cyberinfrastructure is Required for Analysis
Time 03/07/19 01:15PM-02:30PM
Room Congress (M4)
Following a presentation from each researcher (abstracts below), there will be a panel discussion on common technological and social pain points from two faculty researcher perspectives.
Dr. Duncan Brown, Charles Brightman Endowed Professor of Physics, Syracuse University
The direct detection of gravitational waves by the Advanced Laser Interferometer Gravitational-Wave Observatory (LIGO) and by Virgo has been a watershed moment in 21st century physics and astronomy. The discovery of these waves has given humans a completely new way to explore the universe. Gravitational waves observed by LIGO and Virgo encode the physical properties of their sources. Measuring these properties can tell us about the nature of neutron stars, black holes, and supernovae. The detection of gravitational waves and measurement of the source's properties requires running large computational workflows across heterogenous architectures. The size of research teams in gravitational-wave astronomy varies from large international collaborations to small groups of individuals. This presentation will describe the successes and challenges of gravitational-wave astronomy, and some of the cyberinfrastructure used to deliver the science: Internet2, InCommon, CILogon, Open Science Grid, HTCondor, Pegasus, SciTokens, and OrangeGrid.
Dr. F. Alex Feltus, Professor, Genetics and Biochemistry, Clemson University
The Feltus group is focused on discovering genes underlying complex traits in plants and animals. We pull DNA sequence datasets across advanced networks from public sources including The National Center for Biotechnology Information (NCBI), Genotype-Tissue Expression (GTEx), and The Cancer Genome Atlas (TCGA). Then we detect gene dependencies using various genome analytic approaches coded in house or from the open source community. Since we operate at the tera- to petascale, we also develop cyberinfrastructure software and systems that are required to do our work. This presentation will describe computational biology problems we are trying to solve and the democratized computer systems we use to solve them: Palmetto cluster, Open Science Grid, The National Resource Platform, Internet2, and our distributed cloud computing project SciDAS (Scientific Data Analysis at Scale).
Speaker F. Alex Feltus Clemson University
Speaker Duncan Brown Syracuse University