OpenMP For Exascale
2019-05-15T00:24:01Z (GMT) by
Today’s High Performance Computing architectures exhibit significant compute power within each node of the machine, often achieved via the inclusion of one or more accelerators that are attached to CPUs. As a result, it has become essential that large-scale applications make effective use of intra-node as well as inter-node parallelism. In the U.S. Department of Energy’s Exascale Computing Project, several different approaches are being developed to support this requirement. Of these, the most widely adopted so far is OpenMP, a directive-based parallel programming interface supported by many compilers for Fortran, C and C++. In this presentation we discuss the challenges of intra-node programming and how OpenMP attempts to meet them.
ABOUT THE AUTHOR
Barbara Chapman is a Professor of Applied Mathematics and Statistics, and of Computer Science, at Stony Brook University, where she is affiliated with the Institute for Advanced Computational Science. She also directs Computer Science and Mathematics Research at Brookhaven National Laboratory. Barbara performs research on parallel programming interfaces and the related implementation technology, and has been involved in several efforts to develop community standards for parallel programming, including OpenMP, OpenACC and OpenSHMEM. Her research group has created an open source compiler, OpenUH, that enabled practical experimentation with proposed enhancements to application programming interfaces and a reference implementation of the library-based OpenSHMEM standard. Dr. Chapman has coauthored over 200 papers and two books. She obtained her B.Sc. Hons in Mathematics at the University of Canterbury and her Ph.D. in Computer Science from Queen’s University of Belfast.