sc07

November 10 - 16, 2007
Reno, Nevada

ncar


NCAR-CISL SC07 Conference Abstracts


Title:

SPRUCE:  An Infrastructure for Emergency, On-Demand, Urgent Computing

Presenter:

Pete Beckman

Times:

Thursday - 10:30 a.m.

Abstract:

High-performance modeling and simulation are playing a driving role in decision making and prediction. For time-critical emergency support applications such as severe weather prediction, flood and wildfire modeling, and influenza modeling, late results can be useless.   With HPC resources distributed in a naturally fault-tolerant way across the nation, the community can build infrastructures and policy frameworks for utilizing high-end computational resources in support of emergency computation.  A specialized infrastructure is needed to provide computing resources quickly, automatically, and reliably. SPRUCE is a system to support urgent or event-driven computing on both traditional supercomputers and distributed Grids.  Currently, SPRUCE is deployed at several large supercomputer centers. The Linked Environments for Atmospheric Discovery (LEAD) project is one of our initial applications. LEAD used the SPRUCE system embedded into their portal for simulating and predicting severe weather events during the tornado season.  We are also beginning to work with projects modeling wildfires, influenza and pandemics.



Title:

The NCAR Computational and Information Systems Laboratory – Enabling Transformative Research in the Earth Sciences

Presenter:

Tom Bettge

Times:

Tuesday - 11:30 a.m.
Thursday - 2:30 p.m.

Abstract:

To fulfill the mission of serving the computational, data management, and research needs of the atmospheric and earth science communities, the NCAR Computational and Information System Laboratory provides stable services utilizing proven technologies in high performance computing, data analysis, and data archival, and at the same time pursues promising new technologies designed to allow scientists to address transformative scientific problems.  This presentation will describe the cyberinfrastructure environment supported at NCAR, outline the challenges that exist in maintaining and enhancing this environment, and discuss the short-term plans and long-term options for augmentation of the computational and related facilities.



Title:

Global Magnetic Dynamo Action in a Younger Sun

Presenter:

Ben Brown

Times:

Tuesday - 3:30 p.m.
Wednesday - 1:30 p.m.

Abstract:

When stars like our sun are young they spin much more rapidly than the current solar rate and appear to have much stronger magnetic activity. This may indicate that stellar dynamo action is stronger in these rapidly rotating solar-like stars. We have begun simulating the global-scale stellar convection and resulting dynamo action in these stars with the 3-D compressible MHD anelastic spherical harmonic (ASH) code. As a great surprise, we've found that these stellar dynamos build global-scale magnetic fields in the bulk of the convection zone. Exploring how these complex three dimensional fields interact with the turbulent convection has been greatly facilitated by the development of advanced 3-D analysis tools, including Vapor. Here we explore the nature of these dynamo generated fields and the possibility of similar processes working within stars like our sun.


Title:

Climate Modeling in a Changing World:  IPCC AR4 and Beyond.

Presenter:

Lawrence Buja

Times:

Tuesday - 10:30 a.m.
Wednesday - 10:30 a.m.

Abstract:

HPC-enabled climate model simulations of the earth's past, present and possible future climates for the IPCC AR4 show that we are already in the midst of a worldwide climate transition that will have significant impacts on society. Broad governmental, industry, and public acceptance of the IPCC AR4 findings is allowing the climate modeling community to move on to detailed, solution-based, research into adaptation and mitigation strategies that will require petascale supercomputing capability and a wide range of new scientific and engineering collaboration partners.


Title:

Parallel Implementation of Ensemble Filter Algorithms for Data Assimilation

Presenter:

Nancy Collins

Times:

Thursday - 11:30 a.m.

Abstract:

The process of Data Assimilation (DA) combines observations of a system with predictions from a numerical forecast model of that system. DA is frequently used in Numerical Weather Prediction (NWP) systems to construct a set of initial conditions before running forecasts further into the future. DA can also be used for many other purposes including evaluating errors in the numerical model, finding appropriate values for model parameters, and designing better observational systems.

Ensemble Filters (EF) are a DA technique in which multiple forecasts (an ensemble) are produced with the model and the mean and spread of the ensembles are adjusted to be consistent with available observations.

We describe a parallel implementation of a research framework called the Data Assimilation Research Testbed (DART) for exploring various observation types, models, and EF algorithms running both serially and in parallel on workstations, clusters and supercomputers.

Parallelization of the algorithms is necessary for speedup in execution time but is difficult for several reasons. The data in the DART system is logically a large 2D array: the number of ensembles by a 1D vector of data for each model. The parallel EF algorithm has multiple computational phases in which an all-to-all communication must be done to logically transpose the array across processors.

Another difficulty is that many models use DA because the underlying system being modeled is chaotic (e.g. weather). Because chaotic systems magnify small differences in values it is important that a parallel algorithm does not generate data that differ, even bit-wise, as the number of processes varies. In the DART EF, the assimilation step itself must compute the impact of each observation in a sequential fashion to maintain reproducibility without sacrificing parallel performance.


Title:

Climate Modeling on Blue Gene

Presenter:

Rich Loft

Times:

Wednesday - 3:30 p.m.
Thursday - 1:30 p.m.

Abstract:

We describe our experiences with climate modeling applications on Blue Gene. In particular we describe ongoing work with the Parallel Ocean Program (POP) on the 20-rack Blue Gene/L system at IBM Thomas J. Watson Research Center. We also provide an update on the progress of an ultra-high resolution Community Climate System Model (CCSM) configuration capable of utilizing Blue Gene and other massively parallel systems.


Title:

Building a Market for Modeling Components: Earth System Modeling Framework and Earth System Curator

Presenter:

Cecelia DeLuca

Times:

Tuesday - 2:30 p.m.

Abstract:

The Earth System Modeling Framework is a scalable, portable infrastructure for turning modeling codes into collections of components with standard interfaces. The Earth System Curator is a portal for browsing, archiving, and retrieving components, and for storing information about viable model assemblages along with associated datasets. Together, these pieces open up possibilities for collective model construction and validation that transcend the current paradigm of single-institution ownership of complex, grand-challenge modeling systems.


Title:

Double Diffusive Turbulence in Sheared Oceanic Flow

Presenter:

Bill Smyth

Times:

Tuesday - 1:30 p.m.
Wednesday - 2:30 p.m.

Abstract:

Mixing in seawater is caused by a combination of shear-driven turbulence and convection. Convection often results from double diffusive instability, in which the different molecular diffusivities of heat and salt generate regions of anomalously high and low density. Shear-driven turbulence and double diffusive convection have been studied individually and are relatively well understood, but their interactions are not, despite the fact that the two mechanisms act in concert in about one half of the ocean interior.

When ambient horizontal currents vary in the vertical, double diffusive convective motions are organized into “salt sheets”, alternating planar regions of rising and sinking fluid which contain within them opposed horizontal flow patterns parallel to the sheets. Early in the flow development, the salt sheets attain large amplitude and three-dimensionality is introduced via two distinct secondary instabilities. The first causes the sheets to buckle into nearly-horizontal strips. The second induces billowing motions at the upper and lower tips of the sheets. Shortly after the appearance of these secondary instabilities, a complex and poorly-understood sequence of events leads the flow to a fully turbulent state which has properties of both shear-driven turbulence and double diffusive convection.

The process described here depends heavily on the vast difference on the molecular diffusivities of heat and salt in water, which renders the simulation a computational grand challenge. The simulations described in this talk were the first to take account of that difference and to evolve to a fully turbulent state. They are therefore the first direct simulations of turbulence in seawater.