Virtualization technologies have grown steadily in the testing and educational environments, owing to their low costs for deploying a wide variety of scenarios. Many applicationsthat provide network node virtualizati...
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Virtualization technologies have grown steadily in the testing and educational environments, owing to their low costs for deploying a wide variety of scenarios. Many applicationsthat provide network node virtualization face scalability problems when larger topologies are created because of their high memory and processing requirements. Although such applications offer methods for load distribution on multiple machines, the distribution must be manually set up through a cumbersome and error prone process. the miriaPOD distributed virtualization application provides an easy to use graphical topology editor that relies on a broker service to deploy virtual network nodes on multiple machines. the extensibility and scalability of the project enables its use for assessing migration scenarios and running network technologies harmonization tests. We also propose integration possibilities withthe Moodle platform, positioning the miriaPOD infrastructure as a vital tool for testing and teaching networking concepts.
Inversion of large-scale matrices appears in a few scientific applications like model reduction or optimal control. Matrix inversion requires an important computational effort and, therefore, the application of high p...
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Inversion of large-scale matrices appears in a few scientific applications like model reduction or optimal control. Matrix inversion requires an important computational effort and, therefore, the application of high performance computing techniques and architectures for matrices with dimension in the order of thousands. Following the recent uprise of graphics processors (GPUs), we present and evaluate high performance codes for matrix inversion, based on Gauss-Jordan elimination with partial pivoting, which off-load the main computational kernels to one or more GPUs while performing fine-grain operations on the general-purpose processor. the target architecture consists of a multi-core processor connected to several GPUs. parallelism is extracted from parallel implementations of BLAS and from the concurrent execution of operations in the available computational units. Numerical experiments on a system with two Intel QuadCore processors and four NVIDIA cl060 GPUs illustrate the efficiency and the scalability of the different implementations, which deliver over 1.2 x 10 12 floating point operations per second.
Next generation test system tends to be more dependent on open architecture,in order to address reusability and interoperability of test *** paper provides a framework of open-architecture test systems,not only realiz...
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Next generation test system tends to be more dependent on open architecture,in order to address reusability and interoperability of test *** paper provides a framework of open-architecture test systems,not only realizing the fundamental modularization and integration in a general open-architecture,but also reinforcing the interchangeability of TPS & instruments,as well as parallel development of test software by ATE software *** structure,realization details,and a case study are presented in this paper to demonstrate its feasibility and prospective for a wide range of applications.
Data management in ad-hoc scenarios is an essential problem at any pervasive scenario based on cooperative device ensembles. At MuSAMA (Multimodal Smart Appliance Ensembles for Mobile applications [6]), a project deal...
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ISBN:
(纸本)9781450307727
Data management in ad-hoc scenarios is an essential problem at any pervasive scenario based on cooperative device ensembles. At MuSAMA (Multimodal Smart Appliance Ensembles for Mobile applications [6]), a project dealing withthe fact of assistance in smart scenarios we believe that pervasive technologies are essential for our future everyday environments to assist its users e.g. elderlies proactive. Members (devices) of such ensembles need to be able to cooperate spontaneously and without human guidance in order to achieve their joint goal of assisting the user. One part of assistance is data provision regarding the challenges of ad-hoc dynamics. In cooperation withthe Marika project (Mobile Assistance for Route Information and Electronic Health Record) as outlined in [10] we have to focus on care relative information exchange. Following Franklin [4] we believe that data management is essential to reach the goal of pervasive assistance in smart scenarios. there is one major problem we have to focus on: data loss in ad-hoc scenrios because of leaving ensemble members. To overcome this problem caching solutions like the approach of semantic caching (SC) as introduced in [2, 3] can be used. Here SCs are outlined to bridge the gap between local data management for data reuse and communication efforts. In this paper we observe the network overhead and query performance of a standard information retrieval system versus our implementation of semantic caching.
the advent of multi-core processors has made parallelcomputing techniques mandatory on main stream systems. Withthe recent rise of hardware accelerators, hybrid parallelism adds yet another dimension of complexity t...
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Due to the heterogeneity and the multigrain parallelism of the heterogeneous multi-core computer, communication and memory access show hierarchical characteristics ignored by other models. In this paper, a new model n...
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Web services paradigm is considered as the most prevailing instantiation of the service-oriented computing. this computing technology can be used potentially to compose new distributed collaborative applications and m...
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applications structured as parallel task graphs exhibit both data and task parallelism, and arise in many domains. Scheduling these applications on parallel platforms has been a long-standing challenge. In the case of...
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Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. parallelapplications are often expressed using a task-parall...
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this paper addresses the optimization of parallel simulators for large-scale parallel systems and applications. Such simulators are often based on parallel discrete event simulation with conservative or optimistic pro...
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