Publications associées (5)

Inferring Scalability from Program Pseudocode

Mihai Letia

Recent trends have led hardware manufacturers to place multiple processing cores on a single chip, making parallel programming the intended way of taking advantage of the increased processing power. However, bringing concurrency to average programmers is c ...
EPFL2014

Distributed Consensus, Revisited

Rachele Fuzzati, Massimo Merro

We provide a novel model to formalize a well-known algorithm, by Chandra and Toueg, that solves Consensus among asynchronous distributed processes in the presence of a particular class of failure detectors (Diamond S or, equivalently, Omega), under the hyp ...
2007

Distributed Consensus, Revisited

Rachele Fuzzati, Massimo Merro

We provide a novel model to formalize a well-known algorithm, by Chandra and Toueg, that solves Consensus among asynchronous distributed processes in the presence of a particular class of failure detectors (Diamond S or, equivalently, Omega), under the hyp ...
2006

Alluvionnement des retenues par courants de turbidité

Giovanni De Cesare

Reservoir sedimentation by turbidity currents All lakes created on natural rivers are subjected to reservoir sedimentation. The construction of a dam significantly modifies the flow conditions of natural streams inside and downstream of an artificial lake. ...
EPFL1998

Cooperative Shared Memory: Software and Hardware for Scalable Multiprocessors

James Richard Larus, David Wood

We believe the paucity of massively parallel, shared-memory machines follows from the lack of a shared-memory programming performance model that can inform programmers of the cost of operations (so they can avoid expensive ones) and can tell hardware desig ...
ACM1993

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