Asynchronous methods minimize idle times by removing synchronization barriers, and therefore allow the efficient usage of computer systems. The implied high tolerance with respect to communication latencies improves the fault tolerance. As asynchronous methods also enable the usage of the power and energy saving mechanisms provided by the hardware, they are suitable candidates for the highly parallel and heterogeneous hardware platforms that are expected for the near future
International audienceThis article presents an algorithm that performs a decentralized detection of ...
The most efficient simulation solvers use composite procedures that adaptively rearrange computatio...
We propose a novel, minimally intrusive approach to adding fault tolerance to existing complex scien...
Large scale simulations are used in a variety of application areas in science and engineering to hel...
En simulation numérique, la discrétisation des problèmes aux limites nous amène à résoudre des systè...
Many natural and engineering systems are governed by nonlinear partial differential equations (PDEs)...
Depuis la naissance des supercalculateurs jusqu'à l'arrivée de machines Petaflopiques, les technolog...
This work is based on the seminar titled ‘Resiliency in Numerical Algorithm Design for Extreme Scale...
Les infrastructures de calcul très haute performance ont connu une croissance rapide en particulier ...
Nowadays, the most powerful supercomputers in the world, needed for solving complex models and simu...
This thesis deals with two issues for future Exascale platforms, namely resilience and energy. We ad...
Les progrès en termes de puissance de calcul ont entraîné de nombreuses évolutions dans le domaine d...
Abstract Efficiently solving large sparse linear systems on loosely coupled net-works of computers i...
International audienceIterative asynchronous parallel methods are nowadays gaining renewed interest ...
New challenges and opportunities emerge as computing interacts with our surroundings in unprecedente...
International audienceThis article presents an algorithm that performs a decentralized detection of ...
The most efficient simulation solvers use composite procedures that adaptively rearrange computatio...
We propose a novel, minimally intrusive approach to adding fault tolerance to existing complex scien...
Large scale simulations are used in a variety of application areas in science and engineering to hel...
En simulation numérique, la discrétisation des problèmes aux limites nous amène à résoudre des systè...
Many natural and engineering systems are governed by nonlinear partial differential equations (PDEs)...
Depuis la naissance des supercalculateurs jusqu'à l'arrivée de machines Petaflopiques, les technolog...
This work is based on the seminar titled ‘Resiliency in Numerical Algorithm Design for Extreme Scale...
Les infrastructures de calcul très haute performance ont connu une croissance rapide en particulier ...
Nowadays, the most powerful supercomputers in the world, needed for solving complex models and simu...
This thesis deals with two issues for future Exascale platforms, namely resilience and energy. We ad...
Les progrès en termes de puissance de calcul ont entraîné de nombreuses évolutions dans le domaine d...
Abstract Efficiently solving large sparse linear systems on loosely coupled net-works of computers i...
International audienceIterative asynchronous parallel methods are nowadays gaining renewed interest ...
New challenges and opportunities emerge as computing interacts with our surroundings in unprecedente...
International audienceThis article presents an algorithm that performs a decentralized detection of ...
The most efficient simulation solvers use composite procedures that adaptively rearrange computatio...
We propose a novel, minimally intrusive approach to adding fault tolerance to existing complex scien...