Resource sharing explicit

MrsP. MrsP [11] is an optimal resource sharing protocol for multiprocessor systems, explicitly developed with the intent of being fully compatible (analyzable) with the standard response time analysis (RTA) framework, similarly to SRP [4] in single processor systems. The timing effects of the protocol can be simply fed into the RTA iterative equation as an additive factor, whose order of magnitude is proportional to the potential parallel contention incurred by global resources. 

The examples in section 6.4.1 performed resource sharing automatically if it is allowed. However, to save time and effort on behalf of tihe synthesis and optimization tools the designer can explicitly share the resource through the use of intermediate terms. The statement... 

A procedure or function model may be called by another model. The call indicates a request to execute the functionality defined by the called model, which is implemented by a particular instance of the hardware block corresponding to the invoked model. Therefcxe, from the standpoint of synthesis, a hardware resource is a model that can be shared in the hardware implementation. Resource sharing in high-level synthesis can be constrained by explicitly binding a call to a specific instance of the implementation. 

Extensions to incorporate effects of taxation, an explicit modeling of product-mix effects (economies of scale and scope), make or buy/vendor selection and additional elements of technical capacity such as shared resources are provided in Chapter 3.4.3 to allow for an application to value chains with characteristics that differ from those that were considered when developing the model. 

Interaction may be explicit, in which case it is either direct interaction (e.g., a procedure call) or indirect (such as an event broadcast). Interaction may also be implicit, for example, if a resource is being shared between different functions. (The simpler these interactions are, the more likely it is that an analysis technique will be able to find them, and hence the more accurate the results of the analysis will be.) Change propagation is a central aspect of software development as developers modify software entities such as functions or variables to introduce new features or fix bugs, they must ensure that other entities in the software system are updated to be consistent... 

The meta-infrastructure system approaches described above are reasonably representative of the current state of the art. It is interesting to note that none of these frameworks deals explicitly with interdependencies induced by sharing input resources. Physical interdependencies in Rinaldi come the closest Friesz et al. and Haimes and Jiang both use implicit notions of activity levels. 

In this chapter we will provide a critical review of the use of 2- and 4-component relativistic Hamiltonians combined with all-electron methods and appropriate basis sets for the study of lanthanide and actinide chemistry. These approaches provide in principle the more rigorous treatment of the electronic structure but typically demand large computational resources due to the large basis sets that are required for accurate energetics. A complication is furthermore the open-shell nature of many systems of practical interest that make black box application of conventional methods impossible. Especially for calculations in which electron correlation is explicitly considered one needs to find a balance between the appropriate treatment of the multi-reference nature of the wave function and the practical limitations encountered in the choice of an active space. For density functional theory (DFT) calculations one needs to select the appropriate density functional approximation (DFA) on basis of assessments for lighter elements because little or no high-precision experimental information on isolated molecules is available for the f elements. This increases the demand for reliable theoretical ( benchmark ) data in which all possible errors due to the inevitable approximations are carefully checked. In order to do so we need to understand how f elements differ from the more commonly encountered main group elements and also from the d elements with which they of course share some characteristics. 

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