Feb 27, 2014

Matthew Turk , Columbia University

""Scaling Computational Astrophysics""

The term "Big Data" means different things to different people; often
it's used to describe unstructured or semi-structured records, or
fast-moving data that has to be processed quickly to be of any use, or
just a huge volume of data that stretches the limits of many computing
systems.  In this talk, I will present how simulation and analysis
have attempted to respond to the challenges of "big data" not as a
goal in and of itself, but as a by-product of trying to use
increasingly rich simulation data to study complex physical processes.
I will describe new avenues in understanding how the first stars in
the universe formed, the simulation platform Enzo (enzo-project.org)
that enables us to study these objects, and where furthering our
understanding requires advancing the state of the art in hydrodynamic
studies.  I will present the analysis and visualization platform yt
(yt-project.org), and its aim to provide a lingua franca for
astrophysical phenomena, empowering individuals to ask complex and
detailed questions of data.  Finally, I will discuss the communities
that have grown around these platforms, how retaining a focus on
self-directed scientific inquiry has allowed collaboration to flourish
between researchers, and why collaboration and community is the next
great scaling challenge for computational astrophysics.

Event Details

Feb 27, 2014


4421 Sterling Hall

Coffee served at 3:30pm; talk starts at 3:45pm

Speaker Host:
Professor Richard Townsend

UW-Madison Astronomy Home