Some 25 graduate and post-graduate students recently spent four intense days preparing for the next generation of parallel supercomputers and exascale at the Parallel Computing in Molecular Sciences (ParCompMolSci) Summer School and Workshop hosted by Berkeley Lab held August 6-9 in downtown Berkeley.
ESS-DIVE: A Game Changer for Environmental Research
Tess Smidt, 'Atomic Architect'
Berkeley Lab Joins Exascale Machine Learning Effort
Summer Students Apply Deep Learning to Biology
Berkeley Lab Hosts Eight CSGF Fellows in 2018
New Machine Learning Tools to Search Science Data
To non-scientists, Tess Smidt describes herself as an “atomic architect.” And as Berkeley Lab’s 2018 Luis W. Alvarez Fellow in Computing Sciences, Smidt is designing a neural network that can automatically generate novel atomic crystal structures.
Developed by Berkeley Lab researchers, ESS-DIVE is a new digital archive that serves as a repository for hundreds of U.S. Department of Energy-funded research projects under the agency’s Environmental System Science umbrella.
The Exascale Computing Project has initiated ExaLearn, a new ECP co-design center focusing on exascale machine-learning software. Berkeley Lab is one of eight national labs participating.