Our work connects theory with implementation, delivering outcomes that matter for education, industry, and society. Through strong collaborations with academic and industry partners, we continuously refine our teaching, research, and commercial initiatives to stay ahead of emerging frontiers in high-performance computing. Current research areas include:
- Structured parallelism approaches for heterogeneous computing systems such as multi/many-core CPU and GPU Clouds
- Data analytics for solving domain-specific problems
- Support for data-intensive computational science
We do not rely on ad hoc solutions. Our overarching goal is to tightly integrate computational problems with their patterns of computation, data access, and communication. For more details on publications, visit NCI’s NORMA repository.