![In a highly cyclic community (S3), vertices in each subgroup mostly connect directionally to vertices in the “next” adjacent subgroup. The new factorizations enable discovery of such phenomena.](/sites/default/files/styles/front_page_card/public/math-data-mining-llnl-project-card.png?itok=y2GlsH-n)
Math for Data Mining
Newly developed mathematical techniques reveal important tools for data mining analysis.
![sapphire logo](/sites/default/files/styles/front_page_card/public/sapphire-llnl-project-card.png?itok=pdLU4wQC)
Sapphire
Drawing from data mining, image and video processing, statistics, and pattern recognition, these computational tools improve the way scientists extract useful information from data.
![simulated image of a dragon](/sites/default/files/styles/front_page_card/public/local-llnl-project-card.png?itok=CEP6Vde4)
LOCAL
This project's techniques reduce bandwidth requirements for large unstructured data by making use of data compression and optimizing the layout of the data for better locality and cache reuse.
![Bhavya's portrait with the IEEE logo and a blue Earth background](/sites/default/files/styles/front_page_card/public/2023-11/Bhavya-IEEE-senior-member.png?itok=kAE12hRd)
LLNL’s Kailkhura elevated to IEEE senior member
The Institute of Electrical and Electronics Engineers (IEEE), the world’s largest technical professional organization, has elevated LLNL staff member Bhavya Kailkhura to the grade of senior member within the organization.
![Abstract rendering from a computation looks like a block of entwined multicolor ribbons](/sites/default/files/styles/front_page_card/public/2023-10/str-fernbach-fellowship.png?itok=T8ZOIbkk)
S&TR highlight: High performance postdocs
In recent years, the Lab has boosted its recruiting profile even further by offering the prestigious Sidney Fernbach Postdoctoral Fellowship in the Computing Sciences. The fellowship fosters creative partnerships between new and experienced scientists. In short, it ensures an annual cycle that refreshes advanced research in computer sciences at the Lab.
![workflow diagram showing integration of ECP Data and Visualization products](/sites/default/files/styles/front_page_card/public/2023-10/ecp-data-vis.png?itok=eQeRaAPW)
Alpine/ZFP addresses analysis, visualization, data reduction needs for exascale science applications
The Data and Visualization efforts in the DOE’s Exascale Computing Project provide an ecosystem of capabilities for data management, analysis, lossy compression, and visualization.