This work presents a high-order finite element solver developed in the MatLab environment with procedures for high performance computing based on a very simple domain decomposition technique. The code has been develop...
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ISBN:
(纸本)9781905088416
This work presents a high-order finite element solver developed in the MatLab environment with procedures for high performance computing based on a very simple domain decomposition technique. The code has been developed with the goal of testing news procedures for the solution of finite elements problems using distributedcomputing. The code has been tested in many different problems including Poisson operator, Plane Stress, Plane Strain, Linear and Nonlinear Elasticity, Optimization, Contact and Reynolds Equation. This paper aims to present features of the developed software, mainly the aspects of domain decomposition and distributedcomputing.
There have been trends in using spread spectrum channel accessing techniques in wireless sensor networks to mitigate the effect of potential collisions in concurrent transmissions and to increase the throughput as wel...
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Data grids support distributed data-intensive applications that need to access massive datasets stored around the world. Ensuring efficient access to such datasets is hindered by the high latencies of wide-area networ...
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A Mobile Ad-hoc Network (MANET) can be implemented anywhere where there is little or no communication infrastructure, or the existing infrastructure is inconvenient to use. Dynamic and distributed address management i...
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We propose a two layer protocol for tracking fast targets in sensor networks. At the lower layer, the distributed Spanning Tree Algorithm (DSTA) [12] partitions the network into clusters with controllable diameter and...
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The proceedings contain 28 papers. The topics discussed include: optimizing the reliability of pipelined applications under throughput constraints;decomposition based algorithm for state prediction in large scale dist...
ISBN:
(纸本)9780769541204
The proceedings contain 28 papers. The topics discussed include: optimizing the reliability of pipelined applications under throughput constraints;decomposition based algorithm for state prediction in large scale distributed systems;operational semantics of the Marte repetitive structure modeling concepts for data-parallel applications design;butterfly automorphisms and edge faults;cost performance analysis in multi-level tree networks;pretty good accuracy in matrix multiplication with GPUs;exploiting the power of GPUs for multi-gigabit wireless baseband processing;parallel cycle based logic simulation using graphics processing units;practical uniform peer sampling under churn;improving grid fault tolerance by means of global behavior modeling;toward a reliable distributed data management system;energy minimization on thread-level speculation in multicore systems;and resource-aware compiler prefetching for many-cores.
Wireless Sensor networks are gaining importance in diverse applications. The sensor nodes are battery operated and hence energy aware architecture is considered for increasing the lifetime of the sensor network. In th...
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The strong interests of scientific communities in the grid and mobile computing lead to research in mobile grid computing. The main goal of grid computing is to aggregate the power of widely distributed resources whic...
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Monitoring a large-scale wireless sensor networks (WSN) is very difficult, not only because it is large and complex, much of difficulty comes from the lack of visual analysis tools. This paper describes SNDS (Sensor N...
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Each additional variable doubles the number of function values of a Boolean function. This exponential increase is known as combinational explosion and limits strongly the solvable problems for a given computer. In or...
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