PNNL @ Joint Mathematics Meetings 2024
PNNL researchers will present at the Joint Mathematics Meetings conference in San Francisco, CA from January 3–6, 2024.
StreamWorks: Near Real-Time Detection of Emerging Patterns of Cyberattacks in Massive Data Streams
Looking Back, Moving Forward: Reflections from a Decade as PNNL Director
As Laboratory Director Steve Ashby pens his last monthly column, he highlights PNNL’s accomplishments with pride and gratitude.
Tackling the Big Data Challenge
At the Department of Energy's Pacific Northwest National Laboratory, we are developing sophisticated mathematical techniques and software tools to securely manage and analyze vast amounts of data.
DIMPLES Unlocks New Levels of Success in Influence Maximization
This achievement earned DIMPLES a Best Paper award at the ACM International Conference on Supercomputing 2025.
PNNL Researchers Lead High Performance Computing Workshop
James Ang, John Feo, and Marco Minutoli organized a high performance computing workshop at the prestigious ISC High Performance 2022 conference.
Massive Datasets Meet Their Match
An award-winning computing method called poly-streaming accelerates the analysis of massive datasets while using limited memory.
It’s Time to Get Comfortable with Uncertainty in AI Model Training
Researchers can now quantify uncertainty in trained AI models aimed at solving difficult chemistry, biology and materials science problems.
Scientists Speed Up the Groundwork Essential for Quantum Computing
Researchers have created an algorithm that slashes the calculations necessary to prepare and customize data for quantum computing.