At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
“AI gives scientists …
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The widely used Daymet dataset of North American weather metrics has been upgraded with the release of Daymet Version 4, rolling out enhancements such as greater precision on temperatures and …
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This story is the third in a series called “Data Matters,” a collection of features dedicated to exploring the relevance of data for scientific advancement and exploration at the Oak …
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This story is the second in a series called “Data Matters,” a collection of features dedicated to exploring the relevance of data for scientific advancement and exploration at the Oak …
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Simulating SKA1-Low processing using the world’s biggest supercomputer from ICRAR on Vimeo.
For nearly three decades, scientists and engineers across the globe have worked on the Square Kilometre Array …
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Since bursting onto the scene in the early ’90s, high-performance computing (HPC) has become the most productive method for exploring ambitious problems in science that require substantial computational power. Yet …
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In 2012 approximately 14 million new cases of cancer were reported worldwide, and the National Cancer Institute (NCI) predicts that number will rise to 22 million by 2032. With each …
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At the home of America’s most powerful supercomputer, the Oak Ridge Leadership Computing Facility (OLCF), researchers often simulate millions or billions of dynamic atoms to study complex problems in science …
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Scientific progress increasingly is driven by data—along with the instruments that produce it, the networks that move it, the systems that analyze it, and the servers that host and disseminate …
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Using the Titan supercomputer, a team at Oak Ridge National Laboratory is developing automated data tools for cancer research by employing deep learning techniques.
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With big science comes big data. In fact, large-scale simulations that run on leadership-class supercomputers work at such high speeds and resolution that they generate unprecedented amounts of data. The …
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OLCF staff delivered talks and tutorials to Lustre users covering the center’s on-going contributions to the effort to expand the parallel file system’s performance and flexibility.
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An article, published in the October 2015 issue of Nature Materials, provides an overview of recent advances in experimental imaging, data analytics, and high-performance computing that are enabling new opportunities for discovery and design of advanced materials.
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Sreenivas Rangan Sukumar is the new Group Leader for the Advanced Data and Workflow Group.
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The OLCF played a significant role in an ORNL event to share knowledge and discuss the future development of the parallel file system, Lustre.
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The Joint Facilities User Forum on Data-Intensive Computing brought together users and HPC center staff to discuss approaches to handling data, best practices, and the future of data-driven scientific discovery.
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