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This paper compares, for the rst time, the computational power of linearizable objects with that of eventually linearizable ones. We present the following paradox. We show that, unsurprisingly, no set of eventually linearizable objects can (1) implement an ...
ACM Press2014
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As the level of parallelism in manycore processors keeps increasing, providing efficient mechanisms for thread synchronization in concurrent programs is becoming a major concern. On cache-coherent shared-memory processors, synchronization efficiency is ult ...
In the k-set agreement problem, each processor starts with a private input value and eventually decides on an output value. At most k distinct output values may be chosen, and every processor's output value must be one of the proposed values. We consider a ...
Society for Industrial and Applied Mathematics2011
As the level of parallelism in manycore processors keeps increasing, providing efficient mechanisms for thread synchronization in concurrent programs is becoming a major concern. On cache-coherent shared-memory processors, synchronization efficiency is ult ...
2014
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A symbolic execution task is dynamically divided among multiple computing nodes. Each of the multiple computing nodes explores a different portion of a same symbolic execution tree independently of other computing nodes. Workload status updates are receive ...
We examine how to design convergent and correct message-passing schemes, similar to the min-sum algorithm, for maximum a posteriori (MAP) estimation in the case that the messages passed between two nodes of the network may never be delivered. The proposed ...
Linearizability is a key design methodology for reasoning about implementations of concurrent abstract data types in both shared memory and message passing systems. It provides the illusion that operations execute sequentially and fault-free, despite the a ...
This paper presents the notion of obstruction degree, a new metric for reasoning about the scalability of concurrent algorithms. Essentially, this simple metric gives an indication as to which of two concurrent algorithms is expected to scale better, as we ...
Most distributed systems are large-scale and dynamic. Communication has thus become a critical issue and the shared memory, which is a reliable paradigm of communication, allow distributed nodes to exchange information through read and write operations. In ...
Linearizability is a key design methodology for reasoning about implementations of concurrent abstract data types in both shared memory and message passing systems. It provides the illusion that operations execute sequentially and fault-free, despite the a ...