Performance analysis of pC++: a portable data-parallel programming system for scalable parallel computers

pC++ is a language extension to C++ designed to allow programmers to compose distributed data structures with parallel execution semantics. These data structures are organized as “concurrent aggregate” collection classes which can be aligned and distributed over the memory hierarchy of a parallel machine in a manner consistent with the High Performance Fortran Forum (HPF) directives for Fortran 90. pC++ allows the user to write portable and efficient code which will run on a wide range of scalable parallel computers. We discuss the performance analysis of the pC++ programming system. We describe the performance tools developed and include scalability measurements for four benchmark programs: a “nearest neighbor” grid computation, a fast Poisson solver, and the “Embar” and “Sparse” codes from the NAS suite. In addition to speedup numbers, we present a detailed analysis highlighting performance issues at the language, runtime system, and target system levels