Financial simulations on a massively parallel connection machine
International Journal of Supercomputer Applications and High Performance Engineering
Visualization of distributed data structures for High Performance Fortran-like languages
Scientific Programming - Special issue: High Performance Fortran comes of age
DAQV: distributed array query and visualization framework
Theoretical Computer Science - Special issue on parallel computing
OCM—a monitoring system for interoperable tools
SPDT '98 Proceedings of the SIGMETRICS symposium on Parallel and distributed tools
Challenges in designing an HPF debugger
Digital Technical Journal
VFC: The Vienna Fortran Compiler
Scientific Programming
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Debuggers are used to control the state of many processes, to present distributed information in a concise and clear way, to observe the execution behavior, to detect and to locate programming errors. In this paper we briefly describe the design of SPiDER which is an interactive source-level debugging system for both regular and irregular High Performance Fortran programs. SPiDER allows to inspect a single process of a parallel program or to examine the entire program from a global point of view. A sophisticated visualization system has been developed and included in SPiDER to visualize data distributions, data-to-processor mapping relationships, and array values. SPiDER enables a programmer to dynamically change data distributions as well as array values. For arrays whose distribution can change during program execution, an animated replay displays the distribution sequence together with the associated source code location. Array values can be stored at individual execution points and compared against each other to examine execution behavior (e.g. convergence behavior of a numerical algorithm). SPiDER has been fully implemented and is currently being used for the development of various real-world applications. Several experiments will be presented that demonstrate the usefulness of SPiDER.