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The XC/Scala DSL (based on ScaFi), presented in the paper "Functional programming for distributed systems with XC" accepted at ECOOP'22.

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XC: Scala DSL implementation

XC/Scala is a Scala-internal domain-specific language (DSL) implementation of the XC research language for distributed adaptive computing. This language was presented in the paper "Functional programming for distributed systems with XC" accepted at ECOOP'22. The XC/Scala DSL implementation builds on the ScaFi aggregate programming language.

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Overview

  • Where? The source code of the implementation can be found under src/main/scala, package xc
  • What? The DSL implementation includes the components described in the paper, namely:
    • xc.NValues#NValue: data structure modelling a neighbouring value
    • xc.XCLang and xc.XCLangImpl: interface with the XC constructs and corresponding implementation class
    • xc.XCLib: provides reusable functions (building blocks) upon XCLang; examples include collect, broadcast, distanceTo (see examples in the paper)
    • xc.XCProgram: class to be specialised and implemented (main method) in order to define an XC program
    • xc.examples.Gradient: shows a concrete XC program computing a "gradient" (each node of the system eventually computes the minimum distance from the closest "source" node). This is especially illustrative since it shows a simple implementation of a "complete system" where communication is simulated by writing on shared state. However, please notice that the synchronous execution is a simplification: the devices of an XC system may run concurrently and communications can be completely asynchronous.
  • How??
    • Run ./gradlew run (Linux) or gradlew.bat run (Windows) to execute an XC system of interacting devices computing a program
    • Take a look at xc.examples.GradientMain to get a sense of the execution model

License

See the LICENSE file.

Contacts

Roberto Casadei

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The XC/Scala DSL (based on ScaFi), presented in the paper "Functional programming for distributed systems with XC" accepted at ECOOP'22.

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  • Scala 98.4%
  • Kotlin 1.6%