We in CASC conduct collaborative scientific R&D in mathematics, computer science, and data science on problems critical to national security. We address problems in the weapons program, cyber and energy security, and knowledge discovery for intelligence applications that require the power of high performance computers and the most advanced computational methods. We invite you to explore our different groups' disciplines and contact our research staff with questions or to learn more.
Computational Physics Group
Combining an understanding of physical systems with optimized code design, appropriate algorithms, and efficient implementations on parallel computers
Data Science & Analytics Group
Driving research efforts in large-scale visualization, data compression and streaming, data management and workflows, data analysis, and machine learning
High Performance Computing Group
Advancing compilers, tools, and programming models so complex simulation codes can operate correctly and efficiently across current and next-generation architectures
Informatics Group
Developing algorithms in bioinformatics, data management for large-scale graphs, reconfigurable hardware acceleration for data-intensive computing applications, and more
Machine Intelligence Group
Exploring machine learning via representation learning, adversarial methods, uncertainty quantification, graph learning, generalizability, interpretability, and model calibration
Mathematical Algorithms & Computing Group
Investigating linear and nonlinear systems, multigrid and multilevel methods, spectral methods for extremely large graph matrices, and object-oriented code frameworks
Numerical Analysis & Simulations Group
Conducting mathematical research and developing simulation codes for the discretization and solution of partial differential equations in physics and engineering disciplines
Parallel Systems Group
Facilitating the use of extreme-scale computers for scientific discovery via performance measurement and optimization, programming models, fault tolerance, I/O, and more
Research Software Engineering Group
Applying software engineering expertise and a deep understanding of scientific research to deliver high-quality software that advances cutting-edge research
Scientific Computing Group
Solving scientific problems in climate modeling, subsurface flow, computational biology, power grid simulation, computational fluid dynamics, transport models, and more
UQ Optimization Group
Researching at the intersection of mathematics, computer science, and applied science and engineering to enable large-scale optimization, control and uncertainty quantification for complex systems