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Katie Antypas Named Director of Hardware & Integration at Exascale Computing Project

The Exascale Computing Project has selected Berkeley Lab’s Katie Antypas as its new Director for the project’s Hardware & Integration Focus Area. “Katie has more than 14 years of experience at Berkeley Lab and is a widely recognized speaker and presenter throughout the HPC community. We are thrilled to have her take on such a critical function of leading this group and ensuring the project’s success in interfacing with the DOE HPC facilities.”

NERSC Finalizes Contract for Perlmutter Supercomputer

NERSC has moved another step closer to making Perlmutter — its next-generation GPU-accelerated supercomputer — available to the science community in 2020. In mid-April, NERSC finalized its contract with Cray — which was acquired by Hewlett Packard Enterprise (HPE) in September 2019 — for the new system, a Cray Shasta supercomputer that will feature 24 […]

Video: Why Supercomputers Are A Vital Tool In The Fight Against COVID-19

In this video from Forbes, Horst Simon from LBNL describes how supercomputers are being used for coronavirus research. “Computing is stepping up to the fight in other ways too. Some researchers are crowdsourcing computing power to try to better understand the dynamics of the protein and a dataset of 29,000 research papers has been made available to researchers leveraging artificial intelligence and other approaches to help tackle the virus. IBM has launched a global coding challenge that includes a focus on COVID-19 and Amazon has said it will invest $20 million to help speed up coronavirus testing.”

Dan Martin from Berkeley Lab takes on new role at Exascale Computing Project

The DOE Exascale Computing Project (ECP) has named Dan Martin, a computational scientist and group lead for the Applied Numerical Algorithms Group in Berkeley Lab’s Computational Research Division, as team lead for their Earth and Space Science portfolio within ECP Application Development focus area. Martin replaces Anshu Dubey, a computer scientist at Argonne National Laboratory. “I am confident that Dan’s technical expertise and deep experience with the codes that are relevant to the ECP portfolio make him a good fit to replace me at ECP. Not only is he highly respected for his work, but his management style will mesh very well with the leadership team,” said Dubey of Martin’s appointment.

New Library of Artificial Antibodies Could Target Pathogens With Molecular Precision

A research team led by Berkeley Lab has developed a technique that could accelerate the design of artificial antibodies for biomedical applications – from sensing technologies that detect and neutralize infectious viruses and bacteria to the early detection of Alzheimer’s. “We can now readily build populations of rugged synthetic materials that can be engineered to recognize a potential pathogen,” said Zuckermann. “It is a shining example of biomimetic nanoscience.”

Visualizing an Entire Brain at Nanoscale Resolution

In this video from SC19, Berkeley researchers visualizes an entire brain at nanoscale resolution. The work was published in the journal, Science. “At the core of the work is the combination of expansion microscopy and lattice light-sheet microscopy (ExLLSM) to capture large super-resolution image volumes of neural circuits using high-speed, nano-scale molecular microscopy.”

Postdoc Symposium at Berkeley Lab Looks to Exascale for Modeling and Simulation

Twenty-two postdoctoral fellows from across the Computing Sciences Area shared the status of their current projects at the first CSA Postdoc Symposium, held January 30-31 at Berkeley Lab. Their presentations covered a broad range of research topics, including code optimization, machine/deep learning, network routing, modeling and simulation of complex scientific problems, exascale, and other next-generation computer architectures.

Supercomputing a Neutron Star Merger

Scientists are getting better at modeling the complex tangle of physics properties at play in one of the most powerful events in the known universe: the merger of two neutron stars. “We’re starting from a set of physical principles, carrying out a calculation that nobody has done at this level before, and then asking, ‘Are we reasonably close to observations or are we missing something important?’” said Rodrigo Fernández, a co-author of the latest study and a researcher at the University of Alberta.

Supercomputing Post-Wildfire Water Availability

A new study by scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) uses a numerical model of an important watershed in California to shed light on how wildfires can affect large-scale hydrological processes, such as stream flow, groundwater levels, and snowpack and snowmelt. The team found that post-wildfire conditions resulted in greater winter snowpack and subsequently greater summer runoff as well as increased groundwater storage.

HPC Innovation Excellence Award Showcases Physics-based Scientific Discovery

A collaboration that includes researchers from NERSC was recently honored with an HPC Innovation Excellence Award for their work on “Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems.” The award was presented in June by Hyperion Research during the ISC19 meeting in Frankfurt, Germany.