For Annette Greiner, who has biked to work in Ann Arbor, Chicago, San Francisco, and Berkeley, and crossed the continent on two wheels, part of her daily commute is getting into a driver’s mindset. “I’m always thinking ahead about a driver’s point of view and how visible I am to them,” she says. More>
The Senate Energy and Natural Resources Committee hosted a User Science Exhibition last month. The Society for the Science at User Research Facilities (SSURF) — which includes the Lab’s Molecular Foundry, NERSC, Joint Genome Institute, ESnet, and the Advanced Light Source — hosted exhibits and demos of their research and conveyed the positive impact of user facilities.
California relies on the Sierra Nevada snowpack for a significant portion of its water needs, yet scientists understand very little about how changes in snowpack volume and timing will influence surface water and groundwater. Erica Woodburn is working on an advanced hydrologic model to study how climate change might affect California watersheds in the future. More>
Berkeley Lab CRD and JGI researchers took one of the most popular clustering approaches in modern biology – the Markov Clustering algorithm – and modified it to run efficiently and at scale on distributed memory supercomputers. In a test, their algorithm achieved a previously impossible clustering of a 70-million-node, 68-billion-edge biological network in hours. More>
Two of NERSC’s supercomputers, Hopper and Cori, were named after pioneering and inspiring women in science. Grace Hopper, a Navy rear admiral, was at the forefront of computer programming. Biochemist Gerty Cori was the first American woman to win a Nobel Prize. Two other systems, no longer in service, were also named for women: Marie Curie and Laura Bassi.
Astrophysicists at Berkeley Lab and the University of Portsmouth in the U.K. believe that strongly lensed Type Ia supernovae could resolve one of cosmology’s biggest controversies, which relates to the rate of the universe’s expansion. More>
In a recent demonstration project, physicists from Brookhaven National Laboratory and Berkeley Lab used the Cori supercomputer at the National Energy Research Scientific Computing Center to reconstruct data collected from a nuclear physics experiment, an advance that could dramatically reduce the time it takes to make detailed data available for scientific discoveries. More>
Students from the IT Academy at El Cerrito High School recently took part in a special Big Data Study Trip hosted at the Lab and sponsored by Workforce Development and Education, EESA, NERSC, and CRD. They plotted characteristics and mapped patterns using water-quality data, and brainstormed on ways to collect and analyze data from San Pablo Bay. More>
Future exascale supercomputers will be able to process a quintillion calculations per second. How can users store and retrieve data quickly enough on such a system? In this podcast, CRD’s Suren Byna and NERSC’s Quincey Koziol discuss prepping HDF5 – one of the most parallel I/O libraries for high-end supercomputing systems – for exascale use.
Eli Dart (ESnet), Michael Wehner (CRD), and Prabhat (NERSC) recently teamed up to document the data transfer workflow, data transfer performance, and other aspects of moving approximately 56 terabytes of climate data from the distributed Coupled Model Intercomparison Project (CMIP5) archive to NERSC. More>