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This chapter presented the Seine framework for data coupling and parallel data redistribution. Seine addresses the model/code coupling requirements of emerging scienti c and engineering simulations, and enables ef cient computation of communication schedules. Seine supports low-overhead processor-to-processor data streaming, and provides a high-level programming abstraction for application developers. The Seine framework decouples the communication process in time and space, and the communicating entities do not need to know about each other or about each other s data distributions. A key component of Seine is a distributed directory layer that is constructed as a distributed hash table from the application domain and enables decentralized computation of communication schedules. A component-based prototype implementation of Seine using the CAFFEINE CCA framework and its experimental evaluation are also presented. The Seine CCA coupling component enables code coupling and parallel data redistribution between multiple CCA-based applications. The CCA Seine implementation offers an elegant solution to the more general problem of data redistribution, that is, the M N problem, for intracomponent communications as well as intercomponent communications. The evaluation demonstrates the performance and low overheads of using Seine. This chapter also presented experiments and experiences with code coupling for a fusion simulation using the Seine coupling framework over wide-area network. The goal of these experiments was to evaluate the ability of Seine to meet the coupling requirements of the ongoing DoE SciDAC Fusion Simulation Project. The experimental results using a prototype coupled fusion simulation scenario demonstrated

, over the bandwidth guaranteed to the PSC through its scheduling weight...

If one or more of the four lock check boxes in the Layers palette is active, press the forward slash ( / ) to turn off all four. Press the slash key again to return the check boxes to their former configuration. I explain this more thoroughly in 12. Press Alt+] to ascend through the layers. Press Alt+[ to descend. Press Shift+Alt+] to activate the top layer in the image. Press Shift+Alt+[ to go all the way down to the bottom of the stack (usually the Background layer).

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is assuming that they would work at all without standards. would they do this To become the industry leader for whatever the standard covers. Think about it this way. If you want to purchase a computer that supports the widget standard, you might have more faith in the company that introduced and has supported the standard for years, as opposed to purchasing a PC from Mom and Pop s PC shop, which only recently started supporting the widget standard.

2.1.2.6 Australia In Australia the production of drug products (medicinal products) is controlled under the Therapeutics Goods Act, which provides the Minister for Health and Aged Care the right to determine written principles including codes of GMP to be observed in the production of drug products for use in humans [26]. The Therapeutic Goods (Manufacturing Principles) Determination No. 2 of 2002 given by the minister states that drug products must be manufactured in compliance with the Australian Code of Good Manufacturing Practice for Medicinal Products, dated August 16, 2002 [27]. The current set of the Australian GMP code is based entirely on the PIC/S GMP guide version PH 1/97 (Rev. 3) published in 2002 with some minor modi cations [28]. As shown in Table 9, the Australian GMP code consists of 9 chapters and 13 annexes. The chapters present the general requirements of GMP for the manufacture of drug products, the requirements for quality management and control, personnel, premises, equipment, documentation, production, contract services, complaints, product recall, and self-inspection. The annexes give speci c guidance on the manufacture of sterile drug products, biological drug products, radiopharmaceuticals, medical gases, herbal drug products, oral liquids, external preparations (creams, ointments), aerosols, investigational new drugs, blood, and blood products. They also

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(4.197) where I is the identity matrix of order Q. Suppose that p ( p ) is an L x 1 vector of real and complex functions of the elements of the real parameter vector cp defined by (4.192) and define the vector p(8) as the vector p ( p ) after substitution of B-'O for cp. Then, the vector of total differentials of p(0) with respect to 0 is (4.198)

Another improved feature of the CIECAM02 technical report (CIE 2004) are more detailed guidelines for implementation of the model. Several worked examples are provide along with examples of parameter settings. This

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