New parallel programming abstractions and the role of compilers

Most of the parallel programming, especially in applications in Computational Science and Engineering (CSE), is done using MPI. OpenMP is used on some shared memory platforms. However, it is becoming increasingly evident that new higher level parallel programming abstractions are needed if we have to increase programming productivity further. Here, the author presents his views on what kinds of high level languages and abstractions one should look for, what research is needed to develop them, what obstacles he see in their development and adoption, and what role compilers can and should play in their development. In particular, the author argues that adaptive run-time systems to separate the issues of resource management and abstractions for supporting global (but disciplined) view of data and global view of control are needed. Further, the role of compiler research needs to be directed to supporting such models, even though that requires a paradigm shift (toward simpler problems!) for the compiler research community