A scalable strategy for the parallelization of multiphysics unstructured mesh-iterative codes on distributed-memory systems

Realizing scalable performance on high performance computing systems is not straightforward for single-phenomenon codes (such as computational fluid dynamics [CFD]). This task is magnified considerably when the target software involves the interactions of a range of phenomena that have distinctive solution procedures involving different discretization methods. The problems of addressing the key issues of retaining data integrity and the ordering of the calculation procedures are significant. A strategy for parallelizing this multiphysics family of codes is described for software exploiting finite-volume discretization methods on unstructured meshes using iterative solution procedures. A mesh partitioning-based SPMD approach is used. However, since different variables use distinct discretization schemes, this means that distinct partitions are required; techniques for addressing this issue are described using the mesh-partitioning tool, JOSTLE. In this contribution, the strategy is tested for a variety of test cases under a wide range of conditions (e.g., problem size, number of processors, asynchronous / synchronous communications, etc.) using a variety of strategies for mapping the mesh partition onto the processor topology.

An automatable generic strategy for dynamic load balancing in parallel structured mesh CFD codes

Parallel computing is now widely used in numerical simulation, particularly for application codes based on finite difference and finite element methods. A popular and successful technique employed to parallelize such codes onto large distributed memory systems is to partition the mesh into sub-domains that are then allocated to processors. The code then executes in parallel, using the SPMD methodology, with message passing for inter-processor interactions. In order to improve the parallel efficiency of an imbalanced structured mesh CFD code, a new dynamic load balancing (DLB) strategy has been developed in which the processor partition range limits of just one of the partitioned dimensions uses non-coincidental limits, as opposed to coincidental limits. The ‘local’ partition limit change allows greater flexibility in obtaining a balanced load distribution, as the workload increase, or decrease, on a processor is no longer restricted by the ‘global’ (coincidental) limit change. The automatic implementation of this generic DLB strategy within an existing parallel code is presented in this chapter, along with some preliminary results.

Developing “middle leaders” in the public services? The realities of management and leadership development for public managers

Purpose – This paper aims to assess the actual contribution to organisational change of management and leadership development (MLD) activity for middle managers (MMs) in public service organisations (PSOs). Design/methodology/approach – Using the case study approach, the paper compares the content and outcomes of management and leadership training interventions for MMs in two large PSOs. The organisations, a fire brigade and a train operating company, are leaders in their sectors with respect to management development and “modernisation” of their services. Findings – The paper demonstrates how, in one case, MM development was largely an exercise in regulatory compliance, with little effect on individual MMs' performance or organisational outcomes. The second case demonstrates how MMs were effectively trained to enforce specific human resource policies which contributed to the successful implementation of top-down strategy yet paid little attention to the potential leadership role of MMs. Research limitations/implications – The paper highlights the need for further contextualised research at organisational level into the outcomes of MLD, especially in terms of different public service contexts. Practical implications – The paper demonstrates the dangers of designing and implementing development programmes without sufficient regard to professional practice and the realities of managerial discretion in PSOs. Originality/value – The paper provides an in-depth and contextualised insight into the conditions for success and failure in management development interventions in PSOs.

Numerical and experimental studies of a substructural identification strategy

For structural health monitoring it is impractical to identify a large structure with complete measurement due to limited number of sensors and difficulty in field instrumentation. Furthermore, it is not desirable to identify a large number of unknown parameters in a full system because of numerical difficulty in convergence. A novel substructural strategy was presented for identification of stiffness matrices and damage assessment with incomplete measurement. The substructural approach was employed to identify large systems in a divide-and-conquer manner. In addition, the concept of model condensation was invoked to avoid the need for complete measurement, and the recovery process to obtain the full set of parameters was formulated. The efficiency of the proposed method is demonstrated numerically through multi-storey shear buildings subjected to random force. A fairly large structural system with 50 DOFs was identified with good results, taking into consideration the effects of noisy signals and the limited number of sensors. Two variations of the method were applied, depending on whether the sensor could be repositioned. The proposed strategy was further substantiated experimentally using an eight-storey steel plane frame model subjected to shaker and impulse hammer excitations. Both numerical and experimental results have shown that the proposed substructural strategy gave reasonably accurate identification in terms of locating and quantifying structural damage.

The benefits of a health impact assessment in relation to fuel poverty: assessing Luton's affordable warmth strategy and the need for a national strategy

The links between fuel poverty and poor health are well documented, yet there is no statutory requirement on local authorities to develop fuel poverty strategies, which tend to be patchy nationally and differ substantially in quality. Fuel poverty starts from the perspective of income, even though interventions can improve health. The current public health agenda calls for more partnership-based, cost-effective strategies based on sound evidence. Fuel poverty represents a key area where there is currently little local evidence quantifying and qualifying health gain arising from strategic interventions. As a result, this initial study sought to apply the principles of a health impact assessment to Luton’s Affordable Warmth Strategy, exploring the potential to identify health impact arising – as a baseline for future research – in the context of the public health agenda. A national strategy would help ensure the promotion of targeted fuel poverty strategies.

South East London Palliative and End of Life Care Education and Training Strategy: Meeting the Education and Training Needs of the Health & Social Care Workforce Involved in the Care of Patients and Carers at the End of Life.

EXECUTIVE SUMMARY Aims 1. The aims of this strategy are • to ensure that a full range of education and training related to the adult end of life care pathway is available across South East London to meet the needs of our health and social care workforce • to enable those responsible for end of life care education and training commissioning to procure comprehensively from a full range of education providers in a systematic and strategic manner. Background 2. The work that underpins this strategy was begun by the South East London Cancer Network via its Palliative and End of Life Care Coordinating Group and then developed by way of the Marie Curie Delivering Choice Programme’s Education and Training work stream.