Add to ORKGAbstract. Algorithmic skeletons in conjunction with list homomorph-isms play an important role in formal development of parallel algorithms. We have designed a notion of homomorphism dedicated to bulk syn-chronous parallelism. In this paper we derive two application using this theory: sparse matrix vector multiplication and the all nearest smaller values problem. We implement a support for BSP homomorphism in the Orléans Skeleton Library and experiment it with these two applications
The Bulk-Synchronous Parallel (BSP) bridging model is a candidate for a simple and practical definit...
We study classes of Dynamic Programming (DP) algorithms which, due to their algebraic definitions, a...
this paper we theoretically and experimentally analyse the efficiency with which a wide range of imp...
International audienceThe All Nearest Smaller Values (ANSV) problem is an important problem for para...
AbstractHomomorphisms are functions that match the divide-and-conquer pattern and are widely used in...
The Bulk Synchronous Parallel BSP programming model is studied in the context of sparse matrix compu...
The Bulk Synchronous Parallel (BSP) programming model is studied in the context of sparse matrix com...
The Bulk-Synchronous Parallel (BSP) model of computation has been proposed by L.G. Valiant as a unif...
The model of bulk-synchronous parallel (BSP) computation is an emerging paradigm of general-purpose ...
Homomorphisms are functions which can be parallelized by the divide-and-conquer paradigm. A class of...
Abstract — With the current generalisation of parallel archi-tectures arises the concern of applying...
We show that the bulk synchronous parallel (BSP) model, originally designed for distributed-memory s...
International audienceSyDPaCC is a set of libraries for the Coq proof assistant. It allows to write ...
BSML is a ML based language designed to code Bulk Syn-chronous Parallel (BSP) algorithms. It allows ...
The design of a complex algorithm relies heavily on a set of primitive operations and the instrument...
The Bulk-Synchronous Parallel (BSP) bridging model is a candidate for a simple and practical definit...
We study classes of Dynamic Programming (DP) algorithms which, due to their algebraic definitions, a...
this paper we theoretically and experimentally analyse the efficiency with which a wide range of imp...
International audienceThe All Nearest Smaller Values (ANSV) problem is an important problem for para...
AbstractHomomorphisms are functions that match the divide-and-conquer pattern and are widely used in...
The Bulk Synchronous Parallel BSP programming model is studied in the context of sparse matrix compu...
The Bulk Synchronous Parallel (BSP) programming model is studied in the context of sparse matrix com...
The Bulk-Synchronous Parallel (BSP) model of computation has been proposed by L.G. Valiant as a unif...
The model of bulk-synchronous parallel (BSP) computation is an emerging paradigm of general-purpose ...
Homomorphisms are functions which can be parallelized by the divide-and-conquer paradigm. A class of...
Abstract — With the current generalisation of parallel archi-tectures arises the concern of applying...
We show that the bulk synchronous parallel (BSP) model, originally designed for distributed-memory s...
International audienceSyDPaCC is a set of libraries for the Coq proof assistant. It allows to write ...
BSML is a ML based language designed to code Bulk Syn-chronous Parallel (BSP) algorithms. It allows ...
The design of a complex algorithm relies heavily on a set of primitive operations and the instrument...
The Bulk-Synchronous Parallel (BSP) bridging model is a candidate for a simple and practical definit...
We study classes of Dynamic Programming (DP) algorithms which, due to their algebraic definitions, a...
this paper we theoretically and experimentally analyse the efficiency with which a wide range of imp...