1st Place
Design Framework for Real-Time Large-Scale, Parallel, Intelligent, CO2 Data Assimilation
This presentation shows the results of applying distributed super-computing techniques for solving largescale linear batch atmospheric inversions to estimate CO2 fluxes efficiently. To overcome the computational limitations of performing these inversions, we propose the application of a parallel largescale data assimilation (DA) software system for global carbon emissions monitoring. Our design framework for a state-of-the-art autonomous software platform performs real-time integration of in-situ and satellite-based atmospheric CO2 measurements within a DA system for producing estimates of global land and oceanic CO2 exchange at weekly to bi-weekly intervals. This software system has an extendable modular design, with capabilities to crawl the web and autonomously ingest CO2 concentration data from multiple electronic sources in different file formats, simultaneous assimilation of observations using different DA algorithms for estimating global CO2 exchange, a first-of-its-kind carbon-climate surveillance system with the capacity to detect and analyze localized variations in CO2 exchange, and the ability to search for disruptive or unusual patterns that are not easily detected due to the massive scale and dimensionality of the data. The visualization component of the software system will provide both raw output and maps of the estimates of CO2 exchange and their associated uncertainties. The development of this system is being supported by a new project funded through the NSF Software Infrastructure for Sustained Innovation program. We hope to incorporate input from potential users throughout the development process, and welcome input either during the CI Days, or anytime thereafter by contacting Vineet Yadav (vineety@umich.edu) and/or Charles Antonelli (cja@umich.edu).V. Yadav, C.J. Antonelli, S.M. Gourdji, K.L. Mueller, A. Chatterjee, A.M. Michalak
2nd Place
GPU Accelerated Molecular Dynamics Algorithms for Soft Matter Systems using HOOMD-Blue
The rheological, thermodynamic, and self-assembly behavior of liquids, colloids, polymers, foams, gels, granular materials and biological systems are often studied in simulation by using coarse-grained models based on molecular dynamics algorithms. The open source general purpose particle dynamics code HOOMD-Blue has been expanded to include the simulation techniques and pair potentials used to study this class of problems.Carolyn L. Phillips, Joshua A. Anderson, Sharon C. Glotzer
People’s Choice
Visualizing the Audibility of Sound Fields – An Integrated Computation Method for Room Acoustics Analysis
Computer-simulations and field measurements are common methods use to evaluate the quality of room acoustics. The acoustical conditions are interpreted from objective and subjective indices. Performance judgment utilizing human ears is as important as the digital data interpretation obtained from the objective measurement.Sentagi S. Utami
This poster presentation demonstrates the ability to visualize sound fields of real and simulated spaces by using integrated and advanced computation methods. Techniques applied within this research utilizes high performance computing for measurement and analysis of large data set as related to signal processing for generating objective indices, auralizing and acoustical imaging of the sound fields.
A system of multi-microphones arrays based on beam forming with acoustical imaging algorithm is utilized for field measurements. Alteration of the physical elements of simulated spaces is using computer-simulations based on geometrical room acoustics. Auralization is utilized to create digital sound that synthesize auditory event as if the human is listening inside the simulated space. Subjective evaluation utilizes a simulation technique that assimilates real-time auditory cognitive experience into computer-simulation data, which combines auralization of computer-simulated spaces and the Virtual Environment (VE) system.
Further application of this approach is the ability to synthesized auditory event while listeners physically are presence inside the virtual scene and evaluate the acoustical conditions at any stage of the design and therefore, practitioners in architectural acoustics do benefit from it.
