August 10, 2018: 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. Read More »
- Exascale and Beyond Escalating computing power has enabled science problems inconceivable a few years ago. Continuing this growth requires new devices, architecture and algorithms, software and computing facility operations.
- Quantum Information Sciences Researchers at Berkeley Lab are exploring a drastically different kind of computing architecture based on quantum mechanics to solve some of science’s hardest problems.
- Data-Driven Science The “superfacility” is our vision to help researchers turn the rising tide of experimental and observational data into science by coupling instruments to advanced computing through powerful networks and research expertise.
- Scientific Complexity To answer, and anticipate, increasingly sophisticated science questions, researchers need advanced math models and methods, new algorithms and better ways to use computing and networking.
July 26, 2018: 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. Read More »