Complex Systems Group
Mathematical research is playing an increasing important role in the analysis and optimization of complex systems, including application areas relevant to the DOE mission, such as networked interconnected systems like computer networks and electrical power grids. Berkeley Lab’s Computational Research Division has significant research activities in this area, and several projects in CRD develop the algorithms, tools and techniques to meet the analysis challenges posed by complex systems.
To explore new opportunities in this field in a more focused way, the Complex Systems Group (CXG) was created in 2010 within CRD’s High Performance Computing Research Department. CRD Chief Technologist David H. Bailey was named as the CXG group lead.
Specific areas of research CXG is currently engaged in include the following:
- Performance analysis of high-performance computing (HPC) systems
- Automatic performance tuning of scientific programs
- Mathematical analysis for cybersecurity
- Financial system modeling
Group Leader: David Bailey
CXG Research Projects
The Performance Engineering Research Institute (PERI) Enhancing the performance of SciDAC (Scientific Discovery through Advanced Computing) applications on petascale systems has high priority within the DOE Office of Science. As we look to the future, achieving expected levels of performance on high-end computing systems is growing ever more challenging due to enormous scale, increasing architectural complexity, and increasing application complexity. To address these challenges, PERI has… Read More »
