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High School Summer Student is 'Posit-ive' About Coding

Sanjana and Dave

Sanjana Shah, a high school student from the Peninsula, spent her summer at Berkeley Lab evaluating and implementing Posit, a new number format that has the potential to double the memory capacity in high performance computing. » Read More

Educating for Exascale

20180809 Parallel Workshop

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 Summer School and Workshop hosted by Berkeley Lab. » Read More

ESS-DIVE: A Game Changer for Environmental Research

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Developed by Berkeley Lab CRD, NERSC and EESA researchers, ESS-DIVE is a new digital archive that serves as a repository for hundreds of Dept. of Energy-funded research projects under the agency’s Environmental System Science umbrella. » Read More

Tess Smidt, 'Atomic Architect'

Tess Smidt

Berkeley Lab’s 2018 Luis W. Alvarez Fellow in Computing Sciences Tess Smidt is designing a neural network that can automatically generate novel atomic crystal structures. » Read More

Berkeley Lab Joins Exascale Machine Learning Effort

Lab View CRD

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. » Read More


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Berkeley Lab, BIDS Take on Big Data

August 30, 2018

The BIDS ecosystem comprises an impressive network of Fellows, including some who are Berkeley Lab scientists. This month, several Berkeley Lab-BIDS Fellows are organizing two of events to share their data-science expertise: Machine Learning for Science (ML4Sci) Workshop and the California Water Data Hackathon.

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Exascale Computing Project Spotlights ExaGraph and STRUMPACK/SuperLU Collaboration

August 29, 2018

Results from a collaboration between the Exascale Computing Project's Sparse Solvers Software Technology project and ExaGraph Co-Design Center showed that the parallel AWPM (approximate-weight perfect matching) code can run up to 2,500x faster than the sequential algorithm on 256 nodes of NERSC's Cori supercomputer.


Berkeley Lab Researchers Showcase Deep Learning for High Energy Physics at CHEP

August 17, 2018

In a plenary talk given at the recent CHEP conference, NERSC and CRD researchers presented findings from a study in which they demonstrated how generative adversarial networks can speed simulations in high energy physics studies.

Sanjana and Dave

High School Summer Student Sanjana Shah Is 'Posit-ive' About Coding

August 17, 2018

Sanjana Shah, a high school student from the Peninsula discovered her passion for programming when she attended a coding workshop for youth sponsored by a local tech company. She is also the first (and so far, the only) high school student CRD's David Donofrio has ever hired through the Computing Sciences Summer Student program.