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| Content Provider | ACM Digital Library |
|---|---|
| Author | Geries, Simon Haller, Philipp Eichberg, Michael Salvaneschi, Guido |
| Abstract | Concurrent programming is infamous for its difficulty. An important source of difficulty is non-determinism, stemming from unpredictable interleavings of concurrent activities. Futures and promises are widely-used abstractions that help designing deterministic concurrent programs, although this property cannot be guaranteed statically in mainstream programming languages. Deterministic-by-construction concurrent programming models avoid this issue, but they typically restrict expressiveness in important ways. This paper introduces a concurrent programming model, Reactive Async, which decouples concurrent computations using so-called cells, shared locations which generalize futures as well as recent deterministic abstractions such as LVars. Compared to previously proposed programming models Reactive Async provides (a) a fallback mechanism for the case where no computation ever computes the value of a given cell, and (b) explicit and optimized handling of cyclic dependencies. We present a complete implementation of the Reactive Async programming model as a library in Scala. Finally, the paper reports on a case study applying Reactive Async to static analyses of JVM bytecode based on the Opal framework. . |
| Starting Page | 11 |
| Ending Page | 20 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450346481 |
| DOI | 10.1145/2998392.2998396 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-10-30 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Scala Static analysis Asynchronous programming Deterministic concurrency Concurrent programming |
| Content Type | Text |
| Resource Type | Article |
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