Berkeley Lab’s Computing Sciences and Earth & Environmental Sciences Area are partnering on a three-year project to develop an archive that will serve as a repository for hundreds of DOE-funded research projects under the agency’s Environmental System Science umbrella.
M-TIP Extracts Biological Structure from Limited Data
Using Brain-Inspired Chips to Tackle Science's Big Data
45 Qubit Simulation Optimized Using Roofline Model
A Math "Shortcut" Opens Opportunities for Chemistry
HPC4Mfg Paper Manufacturing Project Yields Results
A new Berkeley Lab algorithmic framework called multi-tiered iterative phasing (M-TIP) utilizes advanced mathematical techniques to determine 3D molecular structure of important nanoobjects like proteins and viruses from very sparse sets of noisy, single-particle data.
Although neuromorphic computing is still in its infancy, researchers in Berkeley Lab's CRD hope that these tiny, low-power, brain-inspired computing systems could one day help alleviate some of science’s big data challenges.
The ISC High Performance conference (ISC 2017) named Berkeley Lab’s Eric Strohmaier an ISC Fellow. Strohmaier is known internationally for his role as a founding editor of the twice-yearly TOP500 list of the world’s top supercomputers.