Communications of the ACM
Applied Numerical Mathematics - A festschrift to honor Professor Garrett Birkhoff on his eightieth birthday
Compositional parallel programming languages
ACM Transactions on Programming Languages and Systems (TOPLAS)
Networked agents for scientific computing
Communications of the ACM
OpenMP: parallel programming API for shared memory multiprocessors and on-chip multiprocessors
Proceedings of the 15th international symposium on System Synthesis
Compositional C++: Compositional Parallel Programming
Compositional C++: Compositional Parallel Programming
Weaves: a framework for reconfigurable programming
International Journal of Parallel Programming - Special issue: The next generation software program
Novel runtime systems support for adaptive compositional modeling in PSEs
Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
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This paper presents Weaves, a language neutral framework for scalable execution of legacy parallel scientific codes. Weaves supports scalable threads of control and multiple namespaces with selective sharing of state within a single address space. We resort to two examples for illustration of different aspects of the framework and to stress the diversity of its application domains. The more expressive collaborating partial differential equation (PDE) solvers are used to exemplify developmental aspects, while freely available Sweep3D is used for performance results. We outline the framework in the context of shared memory systems, where its benefits are apparent. We also contrast Weaves against existing programming paradigms, present use cases, and outline its implementation. Preliminary performance tests show significant scalability over process-based implementations of Sweep3D.