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Proceeding Downloads
Tree topologies for causal message delivery
Causal message delivery, i.e. the requirement that messages are delivered in an order respecting their causal (logical) dependencies, is often mandated in the distributed setting. So far, causal message delivery has been implemented by augmenting ...
Locality-guided scheduling in CAF
The C++ Actor Framework (CAF) was designed for using multiple, exchangeable schedulers with a default choice of random work stealing (RWS) for load-balancing. RWS is excellently scalable, and by choosing a random victim scheduling is kept simple with ...
Order types: static reasoning about message races in asynchronous message passing concurrency
Asynchronous message passing concurrency with higher level concurrency constructs including activities, asynchronous method invocations and future return values is gaining increased popularity, as an alternative to shared memory concurrency with lower ...
Sparrow: a DSL for coordinating large groups of heterogeneous actors
Actor-based programming is a well-established programming model for the development of concurrent and parallel systems. However, due to the asynchronous nature of its communication mechanism, it is often difficult to express coordination between ...
A principled approach towards debugging communicating event-loops
Since the multicore revolution, software systems are more and more inherently concurrent. Debugging such concurrent software systems is still hard, but in the recent years new tools and techniques are being proposed. For such novel debugging techniques,...
Actoverse: a reversible debugger for actors
The Actor model is a concurrent computation model based on asynchronous message passing and shared-nothing principle. These characteristics and the absence of locks guarantee that actor-based programs can avoid simple concurrency bugs such as data ...
Index Terms
- Proceedings of the 7th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
AGERE! '14 | 14 | 9 | 64% |
AGERE! 2013 | 21 | 10 | 48% |
Overall | 35 | 19 | 54% |