Sifting Through a Trillion Electrons
SDM's Surendra Byna and colleagues from Berkeley Lab’s Computational Research Division teamed up with researchers to develop novel software strategies for storing, mining, and analyzing massive datase...
Catching Turbulence in the Solar Wind
Massive datasets plus modelling, visualization and analytics allow researchers to "see" the unseen: the turbulence in solar winds.
Arie Shoshani Earns Lifetime Achievement Award
More than 25 years ago, Arie Shoshani realized that researchers were facing significant challenges in organizing, managing and analyzing their scientific data. He set out to develop computer applicati...
The Scientific Data Management (SDM) group develops technologies and tools for efficient data access and storage management of massive scientific datasets. We are currently developing storage resource management tools, data querying technologies, in situ feature extraction algorithms, along with software platforms for exascale data. The group also works closely with application scientists to address their data processing challenges. These tools and application development activities are backed by active research efforts on novel algorithms for emerging hardware platforms.
Group Leader: John Wu