Advanced Computing for Life Sciences and Engineering

The Advanced Computing for Life Sciences and Engineering Group, situated within the Science Engagement Section, plays a crucial role in fostering collaboration with users of High-Performance Computing (HPC) and data analytics resources at the NASA Center for Climate Simulation (NCCS). Our primary objective is to maximize the scientific output from computing allocations by leveraging our extensive expertise, which spans various disciplines, including domain science, computer science, and advanced mathematics.

The The Advanced Computing for Life Sciences and Engineering Group engages with a diverse array of domains, including but not limited to engineering, computational fluid dynamics (CFD), turbulence modeling, combustion processes, plasma physics, fusion research, biophysics, public health, and numerous other related scientific fields. By forming strategic partnerships with researchers in these areas, we help them to effectively utilize the NCCS resources to accelerate their research outcomes.

Among the specific skill sets our group encompasses are advanced coding techniques tailored for modern accelerators, the development of innovative mathematical discretizations for complex partial differential equations, and cutting-edge computer science methodologies aimed at improving performance and ensuring portability across various computing platforms. Furthermore, we apply novel machine learning strategies for image processing and a variety of data analysis tasks. Our expertise also includes profiling and debugging at scale, which is essential for optimizing performance in large computational experiments, as well as staying abreast of emerging programming language standards.

What sets us apart is our proficiency at the intersection of domain-specific scientific goals, effective programming methodologies, state-of-the-art computer hardware, and sophisticated mathematical algorithms. By combining insights and capabilities from these diverse areas, we strive to optimize scientific workflows and enhance research outcomes for our partners. Ultimately, our commitment is to ensure that each partnership yields the highest possible return on the investment of computing resources, driving forward innovation and discovery across multiple disciplines.

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