This project explores using Open Speed Shop Frameworks Plugins to provide scalable memory usage and correctness tools.
This project explores how well suited data intensive computing programming/run time paradigms like map reduce and other graphs apply to scientific applications.
The concept is to head HPC file system storage towards file formats in the file system. It is quite possible that many file types like N processes to 1 file with small strided writes might be served well by special handling at the file system level. Decades ago, file types and access methods were used and were supported within a single file system. The IBM MVS storage systems allowed for many different file types, partitioned data sets, indexed sequential, virtual sequential, and sequential to name a few. Storage for modern HPC systems may benefit from a new parallel/scalable version of file types. There is much research to be done in this area to determine the usefulness of this concept and how such a thing would work with modern supercomputers and future HPC languages and operating environments.