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Type Systems For Distributed Data Structures.pdf

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Preview of Type Systems for Distributed Data Structures
🔗 Source: theory.stanford.edu
📊 Size: 286 KB
📄 Pages: 16 pages
⬇️ Downloads: 597

Summary

Distributed-memory programs often use a global address space, where any process can name any memory location on any processor. However, this approach can simplify the programming model at the cost of performance. Other languages give the programmer more explicit control, offering better potential performance but sacrificing soundness and ease of use. This research formalizes the complex issues surrounding sound computation with explicitly distributed data structures through a series of progressively richer type systems. Type inference can subsume much of this complexity, letting programmers work at whatever level of detail is needed. Experiments with the Titanium programming language show that this approach can result in easier development and significant performance improvements over manual optimization of local and global memory.

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Distributed-memory programs often use a global address space, where any process can name any memory location on any processor.

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  • File Format: PDF
  • File Size: 286 KB
  • Pages: 16
  • Language: EN
  • Total Downloads: 597
  • Last Updated: 2 hours ago

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This PDF document about Type Systems for Distributed Data Structures provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Type Systems for Distributed Data Structures.

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Type guideType tutorialSystems guideSystems tutorialDistributed guideDistributed tutorialData guideData tutorialStructures guideStructures tutorial

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