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Finally, for some problems, the major feature of the concurrency is the presence of well defined interacting groups of tasks, and the key issue is how the data flows among the tasks For example, in a signal processing application, data may flow through a sequence of tasks organized as a pipeline, each performing a transformation on successive data elements Or a discrete event simulation might be parallelized by decomposing it into a tasks interacting via "events" Here, the major feature of the concurrency is the way in which these distinct task groups interact Notice also that the most effective parallel algorithm design might make use of multiple algorithm structures (combined hierarchically, compositionally, or in sequence), and this is the point at which to consider whether such a design makes sense For example, it often happens that the very top level of the design is a sequential composition of one or more Algorithm Structure patterns Other designs might be organized hierarchically, with one pattern used to organize the interaction of the major task groups and other patterns used to organize tasks within the groups for example, an instance of the Pipeline pattern in which individual stages are instances of the Task Parallelism pattern 423 The Algorithm Structure Decision T ree For each subset of tasks, which Algorithm Structure design pattern most effectively defines how to map the tasks onto UEs Having considered the questions raised in the preceding sections, we are now ready to select an algorithm structure, guided by an understanding of constraints imposed by the target platform, an appreciation of the role of hierarchy and composition, and a major organizing principle for the problem The decision is guided by the decision tree shown in Fig 42 Starting at the top of the tree, consider the concurrency and the major organizing principle, and use this information to select one of the three branches of the tree; then follow the upcoming discussion for the appropriate subtree Notice again that for some problems, the final design might combine more than one algorithm structure: If no single structure seems suitable, it might be necessary to divide the tasks making up the problem into two or more groups, work through this procedure separately for each group, and then determine how to combine the resulting algorithm structures.

program by comparing bene ts derived and the costs incurred It is a way to estimate value expressed as worth of development in terms of impact on economy, that is, the impact of the stimulus package on the economy On a more granular scale, it can be applied to determining completion of life cycle cost comparisons of project alternatives Business Case Analysis (BCA) This is a comparative analysis that presents facts and supporting details among competing business alternatives For instance, the DoD application says that the BCA should facilitate a determination whether to implement a Performance Based Logistics type arrangement by comparing the Government s cost of supporting the initiative versus the contractor s cost of supporting the items or material There are two types abbreviated (rough order magnitude, ROM) and nal BCA Requirements Analysis (RA) In systems engineering and software engineering, this encompasses those tasks that go into determining the needs or conditions to meet for a new or altered product, taking account of the possibly con icting requirements of the various stakeholders, such as bene ciaries or users Requirements analysis is critical to the success of a development project Requirements must be actionable, measurable, testable, related to identi ed business needs or opportunities, and de ned to a level of detail suf cient for system design Project and Program Management (PPM) Project management is the discipline of planning, organizing, and managing resources to bring about the successful completion of speci c project goals and objectives Program management is the same discipline applied to a broader scope and scale, multiple projects, or multiple tasks Enterprise Resource Management (ERM) This term is used to describe comprehensive resource management throughout the enterprise It includes planning and organizing and controlling resource application and various rates of consumption It is a subset of enterprise performance optimization (EPO) Performance Improve Strategizing (PIS) The act of strategizing how to improve performance We used to call this performance improvement engineering (PIE), but to emphasize that this is an executive and management responsibility and that it is strategic, we changed the term It is a systematic plan of action Problem Solving (PS) The Wikipedia de nition [14] is a part of thinking considered the most complex of all intellectual functions; problem solving has been de ned as [a] higher-order cognitive process that requires the modulation and control of more routine or fundamental skills It occurs if an organism or an arti cial intelligence system does not know how to proceed from a given state to a desired goal state It is part of the larger problem process that includes problem nding and problem shaping Problem solving is of crucial importance in engineering when products or processes fail, so corrective action can be taken to prevent further failures Forensic engineering is an important technique of failure analysis which involves tracing product defects and aws Corrective action can then be taken to prevent further failures .

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We suggest that problem solving begins with performance problem analysis (PPA) to produce a problem de nition on which to apply creative and innovative skills to produce a solution Decision Making (DM) The Princeton de nition [15] is the cognitive process of reaching a decision; a good executive must be good at decision making Planning (P) The Princeton de nition [15] is an act of formulating a program for a de nite course of action; the planning was more fun than the trip itself Sensemaking and Predicting (SP) Sensemaking is the ability or attempt to make sense of an ambiguous situation More exactly, sensemaking is the process of creating situational awareness and understanding in situations of high complexity or uncertainty in order to make decisions It is a motivated, continuous effort to understand connections (which can be among people, places, and events) in order to anticipate their trajectories and act effectively [16] Predicting is the act of reasoning about the future Financial Management (FM) This is management related to the nancial structure of the company and therefore to the decisions of source and use of the nancial resources, which is re ected in the size of the nancial income and/or charges [17] Work Design (WD) One de nition has it that in organizational development (OD), work design is the application of Socio-Technical Systems principles and techniques to the humanization of work We have a more speci c de nition to add in context with ur enterprise performance optimization process Work is performed by people, by technology, and by combinations such that people may use technology or operate technology to complete a task as evidenced by speci c outcomes Using the process modeling lexicon, a process is made up of activities and an activity may be equated to a task or subtask Work design combines process modeling and the attribution of people and technology to the model such that (1) individuals may be assigned who possess certain skills, knowledge, and pro ciencies, (2) under constraints of budget and time, (3) to produce superior results Job models may be the products of work design that become inputs to organization development that is akin to the process of organization design Process Engineering (PE) This term is customarily employed in chemical and biological process industries to de ne activities that produce an end result That is really the same way that we use the term, although we apply the IDEF0 de nition to de ne processes as a relationship of activities with associated inputs, controls, outputs, and mechanisms Our de nition applies to all processes Knowledge Management (KM) The Wikipedia de nition [18] comprises a range of practices used in an organization to identify, create, represent, distribute and enable adoption of insights and experiences Such insights and experiences.

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