• Aucun résultat trouvé

parallel and distributed processing

Parallel and Distributed Processing for Unsupervised Patient Phenotype Representation

Parallel and Distributed Processing for Unsupervised Patient Phenotype Representation

... MN/batch and the last batch size (768) in 10 epochs for ...dataset and model considered, a 768 item batch size is the most energy efficient for generating batch gradient ...

18

Parallel and Distributed Stream Processing: Systems Classification and Specific Issues

Parallel and Distributed Stream Processing: Systems Classification and Specific Issues

... schema and they can not return results as soon as data arrives in the ...data and delay the next window ...Map and Reduce phase as soon as they receive new inputs, and Buffer-based DSMS [24, ...

26

Model transformation on distributed platforms : decentralized persistence and distributed processing

Model transformation on distributed platforms : decentralized persistence and distributed processing

... concepts and background that will be needed to better grasp our contributions and make the document ...to parallel programming and its different types of ...explicit and implicit ...

159

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 ...

114

Parallel Itemset Mining in Massively Distributed Environments

Parallel Itemset Mining in Massively Distributed Environments

... machines and to perform different computations in parallel, using parallel framework Spark ...massively distributed environment such as Saprk, except the scalability that can be achieved by a ...

154

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

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

... HPC and Monte Carlo (MC) methods are combined to simulate radiation ...calculus and require a high number of ...adaptation and automated trading algorithms need fast execution to make gain ...

7

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

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

... hierarchy and thread ...the processing units of ...time and visibility from ...memory and global ...registers and local memory are dedicated to a single thread, shared memory is visible ...

20

A unifying framework for specifying DEVS parallel and distributed simulation architectures

A unifying framework for specifying DEVS parallel and distributed simulation architectures

... coordinators and simulators (between ascendants and descendants as in [11]) via distributed simulation middleware such as HLA [29, ...Optimistic and Conservative strategies are synchronization ...

12

Distributed futures for efficient data transfer between parallel processes

Distributed futures for efficient data transfer between parallel processes

... 2 DISTRIBUTED FUTURES ...was distributed among ...data-parallel processing. Consequently, it is more efficient that every data-parallel process keeps its part of the result, and ...

5

Dynamic Simulations of Combined Transmission and Distribution Systems using Parallel Processing Techniques

Dynamic Simulations of Combined Transmission and Distribution Systems using Parallel Processing Techniques

... ods, parallel computing, OpenMP ...DNs and their participation in system ...of Distributed Generation Units (DGUs) and loads participating in ancillary services through smart-grid ...

7

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

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

... degeneration and shape growth) are carried out sequentially by one ...connection and disconnection in the case of crossing vessels) during which individual processing units are responsible for ...

9

StreamCloud: An Elastic Parallel-Distributed Stream Processing Engine

StreamCloud: An Elastic Parallel-Distributed Stream Processing Engine

... peer processing part of the information results in a lower cost than processing it ...the processing being moved to external participants is caused by the saturation of the local resource, which ...

231

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

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

... of distributed applications [3] [2] consider that the N nodes on top of which the application runs are organized in a logical ...ring and messages are received by a node in FIFO ...

27

Parallel, cascaded, interactive processing of words during sentence reading

Parallel, cascaded, interactive processing of words during sentence reading

... teractive processing operating between word-level and sentence-level representations during written sentence comprehension, and more generally for an account of reading that assumes a certain amount ...

7

Distributed Processing of Continous Join Queries using DHT Networks

Distributed Processing of Continous Join Queries using DHT Networks

... for processing continuous join queries using ...tuples and dissemination of queries using the trees formed by the underlying DHT ...protocols and dissemination of queries to avoid the in- dexing of ...

9

Group Mutual Exclusion to Scale Distributed Stream Processing Pipelines

Group Mutual Exclusion to Scale Distributed Stream Processing Pipelines

... in distributed settings are mostly solved by two families of algorithms: permission-based and token- ...section, and enter it only when they have received a positive acknowledgement from all ...

11

Performance of a Server Cluster with Parallel Processing and Randomized Load Balancing

Performance of a Server Cluster with Parallel Processing and Randomized Load Balancing

... 1 Model We consider a cluster of S servers, each with service rate µ. Jobs arrive according to a Poisson process with intensity λ. Each incoming job is assigned d servers chosen uniformly at random, for some fixed d ≥ 2. ...

6

A SPARQL distributed query processing engine addressing both vertical and horizontal data partitions

A SPARQL distributed query processing engine addressing both vertical and horizontal data partitions

... on processing very large graphs, one usualy considers a graph data struc- ture distributed over multiple storage ...nodes and the efficiency of the data structure used to split the graph ...the ...

12

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] ...

22

A data path for a pixel-parallel image processing system

A data path for a pixel-parallel image processing system

... Since the focus of this research is on the design and implementation of the format converters, a Raytheon video digitizer chip containing an A/D converter and all th[r] ...

130

Show all 10000 documents...

Sujets connexes