the focus of this contribution is on the parallelization of the Finite Cell Method (FCM) applied for biomechanical simulations of human femur bones. the FCM is a high-order fictitious domain method that combines the s...
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Using three-dimensional finite element to analyze the bridge structure, the article use OpenGL to research bridge three-dimensional modeling and render realistic graphics. Based on this, we develop bridge structure dy...
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Reconfigurable Intelligent Surfaces (RISs) have been recently considered as an energy-efficient solution for future wireless networks due to their fast and low power configuration enabling massive connectivity and low...
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ISBN:
(纸本)9781728119465
Reconfigurable Intelligent Surfaces (RISs) have been recently considered as an energy-efficient solution for future wireless networks due to their fast and low power configuration enabling massive connectivity and low latency communications. Channel estimation in RIS-based systems is one of the most critical challenges due to the large number of reflecting unit elements and their distinctive hardware constraints. In this paper, we focus on the downlink of a RIS-assisted multi-user Multiple Input Single Output (MISO) communication system and present a method based on the parallel FACtor (PARAFAC) decomposition to unfold the resulting cascaded channel model. the proposed method includes an alternating least squares algorithm to iteratively estimate the channel between the base station and RIS, as well as the channels between RIS and users. Our selective simulation results show that the proposed iterative channel estimation method outperforms a benchmark scheme using genie-aided information. We also provide insights on the impact of different RIS settings on the proposed algorithm.
this work reviews a number of algorithms to solve the location management problem in mobile networks for both static and dynamic scenarios. In the static mode, results of five algorithms are used to highlight the pros...
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this work reviews a number of algorithms to solve the location management problem in mobile networks for both static and dynamic scenarios. In the static mode, results of five algorithms are used to highlight the pros and cons for each algorithm. these results provide new insight into the mobility management problem that can influence the design of future wireless networks. In the dynamic mode in which mobile users' past movement patterns are used in making future paging decisions by the network, the performance of an online location management algorithm is examined under different deployment setups. Performance results of this algorithm show its advantages over the currently implemented and/or proposed static location management systems (including GSM).
the proceedings contain 20 papers. the topics discussed include: creating science driven system architectures for large scale science;programming models and languages for high-productivity computing systems;operation ...
ISBN:
(纸本)9812563547
the proceedings contain 20 papers. the topics discussed include: creating science driven system architectures for large scale science;programming models and languages for high-productivity computing systems;operation status of the earth simulator;non-hydrostatic atmospheric GCM development and its computational performance;PDAF - the parallel data assimilation framework: experiences with kalman filtering;optimal approximation of kalman filtering with temporally local 4D-Var in operational weather forecasting;Intel architecture based high-performance computing technologies;distributed data management at DKRZ;supercomputing upgrade at the Australian Bureau Of Meteorology;the weather research and forecast model: software architecture and performance;and task geometry for commodity Linux clusters and grids: a solution for topology-aware load balancing of synchronously coupled, asymmetric atmospheric models.
this paper is concerned withdistributed model predictive control for a discrete-time target linear system over a controller communication network with switching topology. the global system is decomposed into N subsys...
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ISBN:
(纸本)9781509015733
this paper is concerned withdistributed model predictive control for a discrete-time target linear system over a controller communication network with switching topology. the global system is decomposed into N subsystems and N optimization problems are solved in parallel to minimize an upper bound on a robust performance objective by using a state-feedback controller for each subsystem. the considered topology evolution of the control network is assumed to be subject to a Markov chain. An extended cone complementarity linearization method (CCLM) is used to solve the constrained linear matrix inequality (CLMI) and a Bisection method based iterative algorithm is adopted to find the optimal solution. simulation results illustrate the effectiveness of the proposed method.
Withthe recent deployment of global experimental networking facilities, dozens of computer networks with large numbers of computers have become available for scientific studies. Multiple Replications in parallel (MRI...
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ISBN:
(纸本)9783642246685
Withthe recent deployment of global experimental networking facilities, dozens of computer networks with large numbers of computers have become available for scientific studies. Multiple Replications in parallel (MRIP) is a distributed scenario of sequential quantitative stochastic simulation which offers significant speedup of simulation if it is executed on multiple computers of a local area network. We report results of running MRIP simulations on PlanetLab, a global overlay network which can currently access more than a thousand computers in forty different countries round the globe. Our simulations were run using Akaroa2, a universal controller of quantitative discrete event simulation designed for automatic launching of MRIP-based experiments. Our experimental results provide strong evidence that global experimental networks, such as PlanetLab, can efficiently be used for quantitative simulation, without compromising speed and efficiency.
In this article we define the concept of distributed Reality, a new form of immersive media based on the combination of captured realities (e.g a remote and a local one), hence with a strong focus on video. While Virt...
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We present an implementation of AMG with simple aggregation techniques on multiple GPUs. It supports the parallel matrix representations typically used for finite volume discretisation. We employ the ICRS sparse matri...
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Serverless computing is a relatively new execution model where the cloud platform provider manages the allocation of resources for containerized functions dynamically. this evolving paradigm is called Function as a Se...
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ISBN:
(纸本)9781728122311
Serverless computing is a relatively new execution model where the cloud platform provider manages the allocation of resources for containerized functions dynamically. this evolving paradigm is called Function as a Service (FaaS). the statelessness of these functions enables the application to be scaled up elastically in the case of peak loads. they can be tested easily in isolation, but the behavior arising by integrating them to an application is both hard to predict and test. the parallel execution of the functions and the shift of its state to data storages can cause several workflows accessing the same data. these workflows are hard to detect, particularly for complex applications. therefore, we suggest an approach for modelling an existing serverless application based on a specialized graph holding all relevant features. Our serverless-specific model can be applied during the whole life cycle of a complex application and offers a good basis for this specific class of applications. It helps to optimize an existing system by identifying hot spots, supports the generation of test cases and can be used to monitor an existing system. Furthermore, we show how the generation of the model can be automated by realizing a tool supporting Amazon's AWS Lambda.
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