Distributed Shared Memory abstraction (DSM) is traditionally realized through a distributed memory consistency system(MCS) on top of a message passing system. In this paper we analyze the impossibility of efficient partial replication implementation of causally consistent DSM. Efficiency is discussed in terms of control information that processes have to propagate to maintain consistency. We introduce the notions of share graph and hoop to model variable distribution and the concept of dependency chain to characterize processes that have to manage information about a variable even though they do not read or write that variable. Then, we weaken causal consistency to try to define new consistency criteria weaker enough to allow efficient part...
This research proposes an algorithm for fault-tolerance in a home-based lazy release consistent dist...
Distributed shared memory (DSM) is a paradigm for programming distributed systems, which provides an...
International audienceIn distributed systems where strong consistency is costly when not impossible,...
Distributed Shared Memory abstraction (DSM) is traditionally realized through a distributed memory c...
Distributed Shared Memory abstraction (DSM) is traditionally realized through a distributed memory c...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
In this paper, we present an algorithm that can be used to implement sequential, causal, or cache co...
Distributed Shared Memory (DSM) is becoming an accepted abstraction for programming distributed sy...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
A shared memory built on top of a distributed system constitutes a distributed shared memory (DSM). ...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
GDD_HCERES2020Distributed systems are often viewed as more difficult to program than sequential syst...
GDD_HCERES2020Distributed systems are often viewed as more difficult to program than sequential syst...
This research proposes an algorithm for fault-tolerance in a home-based lazy release consistent dist...
Distributed shared memory (DSM) is a paradigm for programming distributed systems, which provides an...
International audienceIn distributed systems where strong consistency is costly when not impossible,...
Distributed Shared Memory abstraction (DSM) is traditionally realized through a distributed memory c...
Distributed Shared Memory abstraction (DSM) is traditionally realized through a distributed memory c...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
In this paper, we present an algorithm that can be used to implement sequential, causal, or cache co...
Distributed Shared Memory (DSM) is becoming an accepted abstraction for programming distributed sy...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
A shared memory built on top of a distributed system constitutes a distributed shared memory (DSM). ...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
Recently distributed shared memory (DSM) systems have received much attention because such an abstra...
GDD_HCERES2020Distributed systems are often viewed as more difficult to program than sequential syst...
GDD_HCERES2020Distributed systems are often viewed as more difficult to program than sequential syst...
This research proposes an algorithm for fault-tolerance in a home-based lazy release consistent dist...
Distributed shared memory (DSM) is a paradigm for programming distributed systems, which provides an...
International audienceIn distributed systems where strong consistency is costly when not impossible,...