Congratulations to George Em Karniadakis, a joint appointee with PNNL and Brown University, who was awarded the Ralph E. Kleinman Prize, sponsored by SIAM to recognize individual achievement for outstanding research or contributions that bridge the gap between mathematics and applications. He will receive the prize during an award ceremony at the International Congress on Industrial and Applied Mathematics in Beijing.
Detecting cyber security breaches and identifying their attack patterns in complex computing networks as they emerge in real time remains a paramount concern and growing challenge. In work involving streaming graphs, scientists at PNNL and Washington State University devised a novel framework, StreamWorks, that categorizes cyber attacks as graph patterns that can be examined using a continuous search on a single, large streaming dynamic graph. This work will go a long way in evading and mitigating the computer network intrusions that have potentially criminal, even dangerous, consequences and have made cyber security a multi-billion dollar industry. Read More.
About the Division
PNNL’s ACMD Division focuses on the Science of Computing and creating new computational capabilities to solve problems using extreme-scale simulation and data analytics.
The Advanced Computing, Mathematics & Data (ACMD) Division at Pacific Northwest National Laboratory provides science, technologies, and leadership to solve significant problems of national interest in energy, environment, national security, and fundamental science. Within the ACMD Division, our research is aimed at creating new, state-of-the-art computational capabilities using extreme-scale simulation and petascale data analytics that enable scientific breakthroughs.
We are developing intelligent hardware and software solutions that analyze, store, and share data in ways that enable innovative research, while reducing both cost and time. These research and development activities are giving rise to scientific breakthroughs in high-impact areas, including infrastructures, computing architectures, and advanced analytical techniques.
In addition, ACMD Division offers investigator-initiated and multi-institutional collaborative research, unique scientific instrumentation, and national program leadership to translate the latest discoveries into technologies for the scientific community.
To address a constantly shifting set of opportunities as new areas of inquiry become technically feasible for the first time, ACMDD is cultivating research capabilities in:
- Computational Mathematics
- Data Intensive Scientific Computing (DISC)
- High Performance Computing
- Scientific Data Management
Director, Advanced Computing, Mathematics & Data Division