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Publications associées (22)

Sharing is Harder than Agreeing

One of the most celebrated results of the theory of distributed computing is the impossibility, in an asynchronous system of

n

processes that communicate through shared memory registers, to solve the set agreement problem where the processes need to deci ...

2008

Fault-tolerant dynamic parallel schedules

Sebastian Gerlach

Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on distributed memory computers such as clusters of PCs. DPS applications are defined by using directed acyclic flow graphs composed of user-defined operations. ...

EPFL2006