The ParaScope parallel programming environment, developed to support scientific programming of shared-memory multiprocessors, is described. It includes a collection of tools that use global program analysis to help users develop and debug parallel programs. The focus is on ParaScope's compilation system. The compilation system extends the traditional single-procedure compiler by providing a mechanism for managing the compilation of complete programs. The ParaScope editor brings both compiler analysis and user expertise to bear on program parallelization. The debugging system detects and reports timing-dependent errors, called data races, in execution of parallel programs. A project aimed at extending ParaScope to support programming in FORTRAN D, a machine-independent parallel programming language for use with both distributed-memory and shared-memory parallel computers, is described.>

As part of Rice University's project to build a programming environment for scientific software, we have built a facility for program execution that solves some of the problems inherent in debugging large, computationally intensive programs. By their very nature such programs do not lend themselves to full-scale interpretation. In moderation however, interpretation can be extremely useful during the debugging process. In addition to discussing the particular benefits that we expect from interpretation, this paper addresses how interpretive techniques can be effectively used in conjunction with the execution of compiled code. The same implementation technique that permits interpretation to be incorporated as part of execution will also permit the execution facility to be used for debugging parallel programs running on a remote machine.