By R D Wood; B I Cohen; H S Mclean; D N Hill; E B Hooper; All authors
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Extra info for Confinement Studies in High Temperature Spheromak Plasmas
E. the amount of real processors onto which the virtual processors are mapped) can be modified, if needed. d) C4 is a parallel component encapsulating an ASSIST program which, by default, is a sequential module, but it can be restructured into a parmod operating on the input stream according to a data-parallel or to a task farm style, depending on the values of the parmod state and on the input values themselves. Therefore, in this case the adaptation principle is applied at two levels: at the program level and at the run-time support level.
A strong relationship exists between the four features stated above. it 25 programming model for high performance Grid programming. it, we use ASSIST as the programming model able to satisfy this requirement. 3. ASSIST as the Basic Programming Model for High-Performance Components We introduce ASSIST as derived from the NOW/COW programming environment as the way to denote parallel, high-performance, component-based, Grid applications. We also discuss how already implemented ASSIST features match the requirements emerging from the previous Section discussion or can be exploited/improved to match such requirements.
AM supports static allocation and dynamic reallocation of adaptive applications according to a performance contract, a reconfiguration strategy, and a performance model. it project (RBNE01KNFP) on Highperformance Grid Platforms and Tools, and by the MIUR CNR Strategic Project L 499/97-2000 on Highperformance Distributed Enabling Platforms. 20 1. COMPONENT MODELS AND SYSTEMS FOR GRID APPLICATIONS Introduction In the context of Grid platforms at various levels of integration , a Gridaware application must be able to deal with heterogeneity and dynamicity in the most effective way (adaptive applications), in order to guarantee the specified level of performance in spite of the variety of run-time events causing modifications in resource availability (load unbalancing, node/network faults, administration issues, emergencies, and so on).