This will greatly improve the productivity of ecosystem scientists. To address this, we are working on a model coupling interface that will allow biogeochemical computations written in MATLAB to couple with Fortran codes. Most hydrodynamics codes are written in Fortran, however, while most ecologists work in MATLAB. Model-coupling for water-based ecosystems: To answer pressing questions about water resources requires that physical models (hydrodynamics) be coupled with biological and chemical models. Although this is significant progress, we hope to improve the performance further, such that it becomes a practical alternative to hydrostatic codes. We have obtained a speed up of about 26 times maximum. We have worked with Chin Wu at the University of Wisconsin to parallelize non-hydrostatic code. Non-hydrostatic codes, however, are significantly more computationally expensive, often prohibitively so.
Non-Hydrostatic Hydrodynamics: Non-static hydrodynamics are significantly more accurate at modeling internal waves that may be important in lake ecosystems. Research Details We worked on the following research projects that we are working on applying to CCA-based scientific applications.
Finally, we focused on optimizing the processing of scientific datasets on multi-core processors. more » We also worked on the design and implementation modules that will be required for the emerging MapReduce model to be effective for scientific applications.
Add text wave to graph in igor pro code#
We worked on developing parallel implementations for non-hydrostatic code and worked on a model coupling interface for biogeochemical computations coded in MATLAB. This year we are working on re-focusing our design and development efforts to develop proof-of-concept implementations that have the potential to significantly impact scientific components. (NREL), Golden, CO (United States) Sponsoring Org.: USDOE Office of Science (SC), Basic Energy Sciences (BES) OSTI Identifier: 1524326 Report Number(s): NREL/JA-5K00-73859 Journal ID: ISSN 2156-8952 Grant/Contract Number: AC36-08GO28308 Resource Type: Accepted Manuscript Journal Name: ACS Combinatorial Science Additional Journal Information: Journal Volume: 21 Journal Issue: 7 Journal ID: ISSN 2156-8952 Publisher: American Chemical Society (ACS) Country of Publication: United States Language: English Subject: 97 MATHEMATICS AND COMPUTING COMBIgor combinatorial data data = ,Īdvanced Scientific Computing Research Computer Science FY 2010Report Center for Technology for Advanced Scientific Component Software: Distributed CCA State University of New York, Binghamton, NY, 13902 Summary The overall objective of Binghamton's involvement is to work on enhancements of the CCA environment, motivated by the applications and research initiatives discussed in the proposal. Center for Next Generation of Materials by Design: Incorporating Metastability (CNGMD) National Renewable Energy Lab. Publication Date: Thu May 23 00:00: Research Org.: Energy Frontier Research Centers (EFRC) (United States).
Add text wave to graph in igor pro pro#
Here we describe COMBIgor, a purpose-built open-source software package written in the commercial Igor Pro environment, designed to offer a systematic approach to loading, storing, processing, and visualizing combinatorial data sets. However, processing and cross-correlating data from various measurement tools is no small task for such generic programs. For data science tasks, most laboratories adopt common-purpose data management and visualization software. In order to utilize these large data sets to uncover new knowledge, the combinatorial scientist must engage in data science. Here, due to maturation of combinatorial methods and their successful application in many fields, the modern combinatorial laboratory produces diverse and complex data sets requiring advanced analysis and visualization techniques. Combinatorial experiments involve synthesis of sample libraries with lateral composition gradients requiring spatially-resolved characterization of structure and properties.
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