Jingmei Yang

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The emergence of the computational Grid and the potential for seamless aggregation, integration and interactions has made it possible to conceive a new generation of realistic, scientific and engineering simulations of complex physical phenomena. The inherently heterogeneous and dynamic nature of these application and the Grid presents significant runtime(More)
Dynamic structured adaptive mesh refinement (SAMR) techniques along with the emergence of the computational Grid offer the potential for realistic scientific and engineering simulations of complex physical phenomena. However, the inherent dynamic nature of SAMR applications coupled with the heterogeneity and dynamism of the underlying Grid environment(More)
Summary form only given. Dynamic structured adaptive mesh refinement (SAMR) techniques along with the emergence of the computational grid offer the potential for realistic scientific and engineering simulations of complex physical phenomena. However, the inherent dynamic nature of SAMR applications coupled with the heterogeneity and dynamism of the(More)
For adaptive distributed applications, the computational complexity associated with each computational region varies continuously and dramatically both in space and time throughout the life cycle of the application execution. Consequently, static scheduling techniques are inefficient for such applications. In this paper, we present an autonomic runtime(More)
County economy is an important part of regional economy, it is at the basic position in the national economy. As a big agriculture province, the county economic development of Hebei province will have a huge effect on the national economy, also affect its comprehensive economic strength ascension to a large extent. At the same time, the development of(More)
The development of efficient parallel algorithms for large scale wildfire simulations is a challenging research problem because the factors that determine wildfire behavior are complex. These factors make static parallel algorithms inefficient, especially when large number of processors is used because we cannot predict accurately the propagation of the(More)