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Parallel and distributed programming

Contribution to the Emergence of New Intelligent Parallel and Distributed Methods Using a Multi-level Programming
Paradigm for Extreme Computing

Contribution to the Emergence of New Intelligent Parallel and Distributed Methods Using a Multi-level Programming Paradigm for Extreme Computing

... context, and it focuses on the proposi- tion and analysis of a distributed and parallel programming paradigm for smart hybrid Krylov methods targeting at the exascale ...] ...

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Distributed and Parallel Programming Paradigms on the K computer and a Cluster

Distributed and Parallel Programming Paradigms on the K computer and a Cluster

... a distributed and parallel programming paradigm for massively multi-core ...development and execution environment for parallel and distributed ap- plications based ...

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Static Analysis of Java for Distributed and Parallel Programming

Static Analysis of Java for Distributed and Parallel Programming

... 101 - 54602 Villers lès Nancy Cedex France Unité de recherche INRIA Rennes : IRISA, Campus universitaire de Beaulieu - 35042 Rennes Cedex France Unité de recherche INRIA Rhône-Alpes : 65[r] ...

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Distributed futures for efficient data transfer between parallel processes

Distributed futures for efficient data transfer between parallel processes

... model, and BSP (Bulk Synchronous Parallel [13] ) as the data-parallel programming frame- ...mailbox and a future is used to represent the result returned by such an asynchronous method ...

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Programming distributed and adaptable autonomous components--the GCM/ProActive framework

Programming distributed and adaptable autonomous components--the GCM/ProActive framework

... A Programming Model for Distributed Components Most research contributions on component models focus on the component structure [ 2 , 8 , 9 ], its control and evolution [ 10 , 11 , 12 ], or the ...

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Pseudo-Random Streams for Distributed and Parallel Stochastic Simulations on GP-GPU

Pseudo-Random Streams for Distributed and Parallel Stochastic Simulations on GP-GPU

... compute their own data sets, including their own stochastic stream. Thus, our first requirement concerning random streams parallelization can be expressed as follows: each thread should dispose of its own random ...

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Vascular system modeling in parallel environment - distributed and shared memory approaches.

Vascular system modeling in parallel environment - distributed and shared memory approaches.

... ++ and the OpenMP Application Program Interface 19 that supports multi-platform [ ] shared-memory parallel ...specifications and results are summarized in Table ...hardware and work on the ...

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Types, compilers, and cryptography for secure distributed programming

Types, compilers, and cryptography for secure distributed programming

... another, and that communicate over an untrusted ...bank, and a merchant, it may be specified that the merchant can send a specific message to the bank ...specifications and by generalizing the ...

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A parallel tabu search for the unconstrained binary quadratic programming problem

A parallel tabu search for the unconstrained binary quadratic programming problem

... that parallel TS algorithms exist for other problem ...simple parallel variant of TS based on exchanging best ...heterogeneous parallel TS algorithm for the VLSI placement problem, which integrates ...

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On the Optimization of Iterative Programming with Distributed Data Collections

On the Optimization of Iterative Programming with Distributed Data Collections

... Spark and Flink offer an API with operations (such as map and reduce) that can be seen as a highly embedded domain specific language ...languages and Datalog as they allow to express (1) more general ...

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Parallel itemset mining in massively distributed environments

Parallel itemset mining in massively distributed environments

... short), and presents an essential and fundamental role in many ...business and e-commerce, for instance, FIM techniques can be applied to recommend new items, such as books and different other ...

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StreamCloud: An Elastic Parallel-Distributed Stream Processing Engine

StreamCloud: An Elastic Parallel-Distributed Stream Processing Engine

... is distributed and the processing of the information generated by mobile phone antennas is highly parallelizable (that is, the overall amount of traffic is huge while the per-mobile phone traffic is ...of ...

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Mixed Data-Parallel Scheduling for Distributed Continuous Integration

Mixed Data-Parallel Scheduling for Distributed Continuous Integration

... building and testing interdependent software components as soon as developers modify ...tasks, and edges represent dependencies among these packages; build tasks themselves can in turn be run in ...provide ...

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A unifying framework for specifying DEVS parallel and distributed simulation architectures

A unifying framework for specifying DEVS parallel and distributed simulation architectures

... Modeling and Simulation (M&S) that provides a means of specifying dynamic ...architecture and so ...DEVS distributed simulation as well as a formalization of underlying concepts to allow symbolic ...

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Towards Parallel and Distributed Computing on GPU for American Basket Option Pricing

Towards Parallel and Distributed Computing on GPU for American Basket Option Pricing

... discretization, and whose pricing features large classification ...sizes and we are able to smooth the effects of randomness when calculating each continuation ...strategy, and more importantly in ...

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Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

... Introduction Parallel computing is about 50 years ...multi- and many- core processors and the growing importance and the increasing number of clusters in the Top500 list ( ...power and ...

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Distributed programming environments: an example of a message protocol

Distributed programming environments: an example of a message protocol

... deposit and dissemination of sci- entific research documents, whether they are pub- lished or ...teaching and research institutions in France or abroad, or from public or private research ...

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Easily rendering token-ring algorithms of distributed and parallel applications fault tolerant

Easily rendering token-ring algorithms of distributed and parallel applications fault tolerant

... common distributed directory stores the history of transactions (metadata) performed on every ...is distributed, trans- action requests reference a single node per dataset which can thus suffers from ...

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An efficient dynamic programming parallel algorithm for the 0-1 knapsack problem

An efficient dynamic programming parallel algorithm for the 0-1 knapsack problem

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...

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A distributed and parallel unite and conquer method to solve sequences of non-Hermitian linear systems

A distributed and parallel unite and conquer method to solve sequences of non-Hermitian linear systems

... shared and reused to solve continuous linear systems by ...dimension, and the direct solvers are not applicable, the iterative methods based on Krylov subspace, such as CG (Conjugate Gradient) method [18] ...

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