A dynamic geometry-based shared space interaction framework for parallel scientific applications

Li Zhang, Manish Parashar

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


While large-scale parallel/distributed simulations are rapidly becoming critical research modalities in academia and industry, their efficient and scalable parallel implementations present many challenges. A key challenge is the dynamic and complex communication/coordination patterns required by these applications, which depend on states of the phenomenon being modeled and are determined by the specific numerical formulation, the domain decomposition and/or sub-domain refinement algorithms used, and are known only at runtime. In this paper, we present a dynamic geometry-based shared-space interaction framework for scientific applications. The framework provides the flexibility of shared-space coordination models while enabling scalable implementations. The design, prototype implementation and experimental evaluation using an adaptive multi-block oil reservoir simulation are presented.

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


  • Communication locality
  • Dynamic geometry-based shared space
  • Hilbert space filling curve
  • Parallel scientific applications
  • Scalability
  • Tuple space


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