LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.
Topic: Data Science
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LLNL and University of Utah researchers have developed an advanced, intuitive method for analyzing and visualizing complex data sets.
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The flourishing of simulation-based scientific discovery has also resulted in the emergence of the UQ discipline, which is essential for validating and verifying computer models.
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hzip 1.0.1 is a C++ library for lossless compression of structured and unstructured meshes composed of cells with hypercube topology.
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This genome sequencing technology helps accelerate the comparison of genetic fragments with reference genomes and improve the accuracy of the results as compared to previous technologies.
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Jeene Villanueva develops enterprise modeling tools that help DOE decision makers gain insight into the challenging problems faced by the U.S. nuclear weapons complex.
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