CISL research: Computational science
The CISL Computer Science Section is responsible for tracking and evaluating new computing technologies, making early adoption decisions, and performing systems research. Section members are actively pursuing research in the following areas:
- High-performance computing
- Grid computing
- Experimental systems
- Linux clusters
- Experimental networking and evaluation of high-performance interconnects
- System and network performance analysis
- High-performance file systems and archival storage systems
- Parallel Algorithms and Architectures
- Model development
Research results from the past year include our successes in model development through numerical methods and scaling techniques, networking advancements through collaborations, dedicated networks, and innovative diagnostics, and visualization research yielding high-fidelity data compression applications.
In the area of archival storage, we are continuing to develop a reliable and high-performance file system for archival storage using low-density parity check codes (LDPC). The advantage of moving to an LDPC scheme based on an open software infrastructure is that it allows us to leverage emerging storage solutions. Our system also promises significantly increased fault tolerance.
These efforts support NCAR's strategic priorities of "Providing capability and capacity supercomputing to the community," "Developing and providing advanced services and tools," and "Creating an Earth system knowledge environment." These CISL research projects and programs are supported by NSF Core funding, with other support as indicated by the individual reports in this section.