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Video: Security in HPC Environments

“Modern HPC systems do some things very similar to ordinary IT computing, but they also have some significant differences. Two key security challenges are the notions that traditional security solutions often are not effective given the paramount priority of high-performance in HPC. In addition, the need to make some HPC environments as open as possible to enable broad scientific collaboration and interactive HPC also presents a challenge.”

Kathy Yelick to Keynote ACM Europe Conference

Kathy Yelick from LBNL will give the HPC keynote on Exascale computing at the upcoming ACM Europe Conference. With main themes centering on Cybersecurity and High Performance Computing, the event takes place Sept. 7-8 in Barcelona.

How Extreme Energy Jets Escape a Black Hole

Researchers are using XSEDE supercomputers to better understand the forces at work at the center of the Milky Way galaxy. The work could reveal how instabilities develop in extreme energy releases from black holes. “While nothing – not even light – can escape a black hole’s interior, the jets somehow manage to draw their energy from the black hole.”

When Neutron Stars and Black Holes Collide

Working with an international team, scientists at Berkeley Lab have developed new computer models to explore what happens when a black hole joins with a neutron star – the superdense remnant of an exploded star. “If we can follow up LIGO detections with telescopes and catch a radioactive glow, we may finally witness the birthplace of the heaviest elements in the universe,” he said. “That would answer one of the longest-standing questions in astrophysics.”

Cryo-EM Moves Forward with $9.3M NIH Award

The National Institutes of Health (NIH) has awarded $9.3 million to the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) to support ongoing development of PHENIX, a software suite for solving three-dimensional macromolecular structures. “The impetus behind PHENIX is a desire to make the computational aspects of crystallography more automated, reducing human error and speeding solutions,” said PHENIX principal investigator Paul Adams, director of Berkeley Lab’s Molecular Biophysics and Integrated Bioimaging Division.”

Supercomputers turn the clock back on Storms with “Hindcasting”

Researchers are using supercomputers at LBNL to determine how global climate change has affected the severity of storms and resultant flooding. “The group used the publicly available model, which can be used to forecast future weather, to “hindcast” the conditions that led to the Sept. 9-16, 2013 flooding around Boulder, Colorado.”

Testing Brain-Inspired Chips for Big Data Problems at Berkeley Lab

“The von Neumann design has also led computing to its current limits in efficiency and cooling. As engineers built increasingly complex chips to carry out sequential operations faster and faster, the speedier chips have also been producing more waste heat. Recognizing that modern computing cannot continue on this trajectory, a number of companies are looking to the brain for inspiration and developing “neuromorphic” chips that process data the way our minds do. One such technology is IBM’s TrueNorth Neurosynaptic System.”

ISC 2017 Names Erich Strohmaier and Yutong Lu as Conference Fellows

Today the ISC High Performance conference announced the appointment of Dr. Erich Strohmaier of Lawrence Berkeley National Laboratory, USA, and Prof. Yutong Lu from the National Supercomputing Center in Guangzhou, China, as ISC Fellows. ISC Fellows are individuals who have made and continue to make important contributions to the advancement of high performance computing (HPC), the community and the ISC High Performance conference series.

Supercomputing More Efficient Paper Production with HPC4MFG

Industry is collaborating with researchers at LBNL to significantly reduce paper production costs and increase energy efficiencies. “The major purpose is to leverage our advanced simulation capabilities, high performance computing resources and industry paper press data to help develop integrated models to accurately simulate the water papering process.”

Lorena Barba Presents: Data Science for All

“In this new world, every citizen needs data science literacy. UC Berkeley is leading the way on broad curricular immersion with data science, and other universities will soon follow suit. The definitive data science curriculum has not been written, but the guiding principles are computational thinking, statistical inference, and making decisions based on data. “Bootcamp” courses don’t take this approach, focusing mostly on technical skills (programming, visualization, using packages). At many computer science departments, on the other hand, machine-learning courses with multiple pre-requisites are only accessible to majors. The key of Berkeley’s model is that it truly aims to be “Data Science for All.”