As part of this year’s IEEE Symposium on Technologies for Homeland Security, scientists from PNNL and Virginia Tech, including Samrat Chatterjee (NSD), Mahantesh Halappanavar (ACMD Division), Ramakrishna Tipireddy (ACMD Division), and Matthew Oster (NSD), were honored with the Cyber Security Track Best Paper Award for their work, “Quantifying Mixed Uncertainties in Cyber Attacker Payoffs.” The paper employs game theory to mathematically address cyber-system security and resilience challenges in the context of added uncertainties. Read more.
To improve overall energy efficiency and performance on future exascale computing systems, scientists from PNNL, UC Riverside, and Marquette University examined some advanced HPC systems and determined undervolting that also leverages existing mainstream resilience techniques at scale to reduce power consumption improved system failure rates. The undervolting method does not require modifying existing hardware or using pre-production machines. The paper documenting this first-of-its-kind work, “Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing,” will be presented at IPDPS 2015. 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