We present an overview of the research performed at the Center for Applied Scientific Research (CASC) at Lawrence Livermore National Laboratory (LLNL). We begin by describing the national security missions and science problems that drive computational science innovation at LLNL. The combination of these missions and LLNL state-of-the-art computing facilities provides a rich environment for large-scale multidisciplinary teams to tackle important problems in high-performance computing, computational mathematics and data sciences. We describe ongoing research in our core competency areas of scalable solution of PDEs, linear and nonlinear solvers, uncertainty quantification, and HPC technologies such as the ROSE compiler framework, performance analysis, and energy-aware computing. We will also discuss a broad range of work in data-centric computing, Including large data architectures, scientific simulation analysis, and image processing. In these areas we give a high-level view of current status of these research projects and the applications they are positively impacting. We conclude by describing future directions for CASC research.

Our intention is that this talk sets the stage for discussions throughout the day aimed at the exploration of new collaborations between our two laboratories.