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Space-time programming.

Jacob Beal1, Mirko Viroli2

  • 1Raytheon BBN Technologies, Cambridge, MA, USA jakebeal@bbn.com.

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Summary
This summary is machine-generated.

This study unifies programming models for distributed computation, using physics-inspired abstractions like computational fields for holistic system design. It addresses challenges in programming complex, material-embedded, and networked computing systems.

Keywords:
aggregate programmingfield calculusspatial computing

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Area of Science:

  • Computer Science
  • Physics
  • Materials Science

Background:

  • Computation is shifting from individual devices to distributed systems embedded in materials or environments.
  • Existing programming models struggle to manage the complexity of these emergent computational systems.

Purpose of the Study:

  • To provide a unified framework for investigating and engineering computations in distributed systems.
  • To explore physics-inspired programming abstractions for holistic system design.
  • To identify key challenges and future research directions in space-time abstractions for computation.

Main Methods:

  • Synthesizing recent research on distributed computation and programming models.
  • Developing and applying space-time abstractions inspired by physical fields.
  • Analyzing emergent computational behaviors in various distributed systems.

Main Results:

  • A unified approach for programming distributed computational systems has been established.
  • Physics-inspired abstractions, such as computational fields, enable holistic programming.
  • The framework facilitates the engineering of complex, material-embedded computations.

Conclusions:

  • Space-time abstractions offer a powerful paradigm for programming distributed and embedded computing systems.
  • Further research is needed to address open problems in the engineering and theoretical understanding of these systems.
  • This unified approach paves the way for more robust and scalable distributed computation.