This workshop will introduce scalable data analytics and machine learning. It is a two-day, hands-on workshop using Hadoop, Spark and TensorFlow. This site is administered by Wright Laboratory.

For more than four decades, University of California, San Diego, Professor of Physics Patrick H. Diamond and his research group have been advancing our understanding of fundamental concepts in plasma physics. Most recently, Diamond worked with graduate student Robin Heinonen on a model reduction study that used the Extreme Science and Engineering Discovery Environment (XSEDE)-allocated Comet supercomputer at the San Diego Supercomputer Center at UC San Diego to showcase how machine learning produced a new model for plasma turbulence. Plasmas have many applications, including fusion energy. When light nuclei fuse together, the mass of the products is less than that of the reactants, and the missing mass becomes energy – hence Albert Einstein's famous E mc2 equation. In order for this to occur, temperatures must literally reach astronomical levels, such as those found in the Sun's core.

This summer, five new National Science Foundation (NSF)-funded advanced computing systems have been awarded to partner institutions across the country, all with their own unique specialties and applications. Once deployed, all of these systems will be primarily allocated through XSEDE to help connect researchers, regardless of physical location in the United States, to the system that best suits their research needs. "The recent announcements of awards by the NSF is a clear indicator of the NSF's re-commitment to providing critical advanced research computing capabilities to enable research in the United States and beyond," said John Towns, principal investigator and project director of XSEDE. "These resources will enable research across all fields of scholarly pursuit and XSEDE stands ready to engage researchers in harnessing these resources.". These new machines continue XSEDE's robust demonstrated tradition of world-class, cutting-edge research, including a commitment to emerging domains like Artificial Intelligence, Big Data, Machine Learning, and more.

Purdue University will soon house Anvil, a powerful supercomputer, thanks to a $10 million reward from the National Science Foundation, according to a press release on Friday. Anvil will be able to support a slew of computing capabilities and data-intensive research, from regular high-performance computations to advanced artificial intelligence (AI) applications. This supercomputer will boost the capacity available to the National Science Foundation's Extreme Science and Engineering Discovery Environment (XSEDE), which serves tens of thousands of researchers across the US and has been a partner to Purdue for nine years. Anvil will begin production in 2021, serving researchers for five years, enabling a wide range of research in areas such as fluid dynamics and bioinformatics, and also for data science, artificial intelligence, and machine learning applications. "The name'Anvil' reflects the Purdue Boilermakers' strength and workmanlike focus on producing results and the Anvil supercomputer will enable important discoveries across many different areas of science and engineering," said Preston Smith, executive director of research computing and a co-PI on the project, in the release.