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Message-based concurrency using actors has the potential to scale from multicore processors to distributed systems. However, several challenges remain until actor-based programming can be applied on a large scale. First, actor implementations must be effic ...
The combination of low cost clusters and multicore processors lowers the barrier for accessing massive amounts of computing power. As computational sciences advance, the use of in silico simulations to complement in vivo experiments promises parallel progr ...
At the heart of distributed computing lies the fundamental result that the level of agreement that can be obtained in an asynchronous shared memory model where t processes can crash is exactly t + 1. In other words, an adversary that can crash any subset o ...
This book provides an introduction to distributed programming abstractions and presents the fundamental algorithms that implement them in several distributed en- vironments. The reader is given insight into the important problems of distributed computing a ...
Magnetic nanostructures have long been in the focus of intense research in the magnetic storage industry. For data storage the nonvolatility of magnetic states is of utmost relevance. As information technology generates the need for higher and higher data- ...
ERLANG is an industrially successful functional language that uses the Actor model for concurrency. It supports the message-passing paradigm by providing pattern-matching over received messages. Unfortunately coding synchronisation between multiple process ...
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Distributed systems are difficult to design and develop. The difficulties arise both in basic safety correctness properties, and in achieving high performance. As a result of this complexity, the implementation of a distributed system often contains the ba ...
Networks-on-Chip (NoCs) are being increasingly considered as a central enabling technology to communication-centric designs as more and more IP blocks are integrated on the same SoC. Embedded applications, in turn, are becoming extremely sophisticated, and ...
The growing use of multicore and networked computing systems is increasing the importance of developing reliable parallel and distributed code. Unfortunately, developing and testing such code is notoriously hard, especially for shared-memory models of prog ...
At the heart of distributed computing lies the fundamental result that the level of agreement that can be obtained in an asynchronous shared memory model where t processes can crash is exactly t + 1. In other words, an adversary that can crash any subset o ...