High performance Peer-to-Peer distributed computing with application to obstacle problem

Nguyen, The Tung; Baz, Didier El; Spitéri, Pierre; Jourjon, Guillaume; Chau, Meng Huat

doi:10.1109/ipdpsw.2010.5470930

Cited by 20 publications

(31 citation statements)

References 9 publications

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“…We consider the distributed solution of fixed point problem (1) via the projected Richardson method combined with several iterative schemes of computation; reference is made to [11] for the mathematical formulation of synchronous and asynchronous projected Richardson methods. The convergence of asynchronous projected Richardson method has been established in [14].…”

Section: Resultsmentioning

confidence: 99%

“…The P2PSAP protocol can also reconfigure itself dynamically to match the very nature of a given algorithm like in the case of the distributed solution of nonstationary problems whereby some synchronizations are needed at every time steps even if an asynchronous scheme of computation has been selected to solve each subproblem. Reference is made to [11] and [6] for studies related to the centralized and decentralized versions of the P2PDC environment, respectively.…”

Section: Related Workmentioning

confidence: 99%

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Distributed Iterative Solution of Numerical Simulation Problems on Infiniband and Ethernet Clusters via the P2PSAP Self-Adaptive Protocol

Tembo

Nguyen

Baz

2013

2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

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Abstract-The distributed iterative solution of numerical simulation problems on Infiniband or Ethernet Clusters via the P2PDC environment is studied. The P2PDC decentralized environment is dedicated to task parallel applications. It has been designed for the solution of large scale numerical simulation problems via distributed iterative algorithms. The P2PDC environment is based on the P2PSAP self-adaptive communication protocol. New functionalities of the P2PSAP communication protocol aimed at using Infiniband clusters are presented. A series of computational results is presented and analyzed.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Distributed Iterative Solution of Numerical Simulation Problems on Infiniband and Ethernet Clusters via the P2PSAP Self-Adaptive Protocol

Tembo

Nguyen

Baz

2013

2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

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“…Peer-to-Peer (P2P) applications originally designed for file sharing, e.g., Gnutella [1] or FreeNet [2] are now considered to a larger scope from video streaming and system update to distributed data base and High Performance Computing (HPC) [3]. In this paper, we concentrate on numerical simulation applications.…”

Section: Introductionmentioning

confidence: 99%

“…In [3], a centralized version of P2PDC an environment for high performance peer-to-peer distributed computing which makes use of the P2PSAP protocol in order to allow direct communication between peers has been presented. P2PDC is devoted to task parallel applications.…”

Section: Introductionmentioning

confidence: 99%

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Fault Tolerant Implementation of Peer-to-peer Distributed Iterative Algorithms

Baz

2012

2012 IEEE 15th International Conference on Computational Science and Engineering

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Abstract-Fault tolerance issues related to the implementation of distributed iterative algorithms via the P2PDC peer-to-peer distributed computing environment are considered. P2PDC is a decentralized environment dedicated to task parallel applications. It has been designed more particularly for the solution of large scale numerical simulation problems via distributed iterative algorithms. The environment allows frequent and direct communications between peers i.e., machines. P2PDC is based on P2PSAP, a self-adaptive communication protocol. We present new functionalities of P2PDC aimed at making our environment more robust. An adaptive fault tolerance mechanism ensures the robustness of computation to cope with peer faults. We consider also fault tolerance from an algorithmic point of view: we concentrate in particular on distributed asynchronous iterative algorithms that can tolerate some message loss. A series of computational results is presented and analyzed for a numerical simulation problem.

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Wireless Sensor Networks

Fong¹

2016

Internet of Things and Data Analytics Handbook

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Wireless sensor networks constitute the platform of a broad range of applications related to national security, surveillance, military, health care, and environmental monitoring. The coverage problem for Wireless Sensor Network (WSN) has been studied extensively in recent years, especially when combined with connectivity and energy efficiency. This paper focuses on the sensor replacement problem in wireless sensor networks consists of mobile sensors. Mobility equipped sensors are utilized to recover and maintain the overall coverage using the dynamic cluster concept. The proposed fault repair solution does not assume the localization information is available. Mobile sensor nodes make use of simple geometric operation to locate and replace dying nodes to recover or increase the existing coverage and connectivity.

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High performance Peer-to-Peer distributed computing with application to obstacle problem

Cited by 20 publications

References 9 publications

Distributed Iterative Solution of Numerical Simulation Problems on Infiniband and Ethernet Clusters via the P2PSAP Self-Adaptive Protocol

Distributed Iterative Solution of Numerical Simulation Problems on Infiniband and Ethernet Clusters via the P2PSAP Self-Adaptive Protocol

Fault Tolerant Implementation of Peer-to-peer Distributed Iterative Algorithms

Wireless Sensor Networks

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