OSC Demos @ SC09


The Edison Welding Institute, in partnership with OSC, provides member institutions with access to an online weld simulation tool. This on-demand product allows welding engineers to evaluate the changes in temperature profiles, material microstructures, residual stresses, and welding distortion to reduce the extent of experimental trials during the design of welded joints. By using E-Weld Predictor, engineers can explore a wide range of "what if" combinations and simulations, which results in a decrease in prototype costs and quicker production.

Ash Borer

The USDA Forest Service is modeling the spread of the Emerald Ash Borer which is moving southwards out of Michigan, destroying ash borers in its wake. The computational model takes into account both 'flight' and 'ride' vectors, as well as ash tree abundance and GIS derived information, in order to determine the risk of infestation for various areas in the future. The code is MATLAB based, and utilizes pMATLAB for the parallelization. Individual computing units process the a given repetition over a specified number of generations.

Remote NMR Instrument

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RICE is a collaboration tool software that supports use-cases in remote instrumentation sessions. It can be used by instructors and researchers to train students or conduct research on computer-controlled scientific instruments (e.g. electron microscopes, NMRs, telescopes) from remote locations on the Internet. The RICE software integrates instruments, compute, and storage resources via custom-built VNC solutions and web-services. It provides real-time multi-site collaboration (instant messaging, user presence status, and instrument control-lock passing) along with centralized handling of user accounts/privileges, and data for remote analytics. RICE also has a network health (e.g. latency, packet loss) monitoring feature that warns and blocks instrument user's control-actions during impending and extreme network congestion periods to avoid inadvertent instrument damage.

Partner Demos @ SC09

Image Analysis to Provide Computer-Aided Detection for Pediatric Diseases

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Working with pathologists, the RINCH Biopathology Center team developed a software package to enable the automated electronic scanning and analysis of digital pathology images to detect and measure markers for both pediatric and adult cancerous diseases. This software enhances the pathology workflow by providing time-saving tools for pathologists. Similarities and differences between cancerous diseases were analyzed, providing the ability to search across multiple specimens representing multiple cancer protocols from various cancerous diseases.

UniversityArkansas High Performance Computing Center

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The Arkansas High Performance Computing Center was established by funding from Governor Mike Beebe through the Arkansas Science and Technology Authority (ASTA) in 2008 to serve as a core resource for the development of competitive research throughout the state of Arkansas and for economic development benefit. The combined power of the Arkansas High Performance Computing Center and ARE-ON will take the state of Arkansas to the next level in the global economy.


Parallel Short Sequence Mapping

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The Ohio State University Department of Biomedical Informatics is to be the worldwide leader in discovering, creating, and applying leading-edge biomedical informatics innovations to improve individuals' lives through personalized healthcare.