Big Data

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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