Approximate algorithms for efficient indexing, clustering, and classification in Peer-to-peer networks

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Scalable Observation, Analysis, and Tuning for Parallel Portability in HPC

It is desirable for general productivity that high-performance computing applications be portable to new architectures, or can be optimized for new workflows and input types, without the need for costly code interventions or algorithmic re-writes. Parallel portability programming models provide the potential for high performance and productivity, however they come with a multitude of runtime parameters that can have significant impact on execution performance. Selecting the optimal set of parameters, so that HPC applications perform well in different system environments and on different input data sets, is not trivial.This dissertation maps out a vision for addressing this parallel portability challenge, and then demonstrates this plan through an effective combination of observability, analysis, and in situ machine learning techniques. A platform for general-purpose observation in HPC contexts is investigated, along with support for its use in human-in-the-loop performance understanding and analysis. The dissertation culminates in a demonstration of lessons learned in order to provide automated tuning of HPC applications utilizing parallel portability frameworks

National freight transport planning: towards a Strategic Planning Extranet Decision Support System (SPEDSS)

This thesis provides a `proof-of-concept' prototype and a design architecture for a Object Oriented (00) database towards the development of a Decision Support System (DSS) for the national freight transport planning problem. Both governments and industry require a Strategic Planning Extranet Decision Support System (SPEDSS) for their effective management of the national Freight Transport Networks (FTN). This thesis addresses the three key problems for the development of a SPEDSS to facilitate national strategic freight planning: 1) scope and scale of data available and required; 2) scope and scale of existing models; and 3) construction of the software. The research approach taken embodies systems thinking and includes the use of: Object Oriented Analysis and Design (OOA/D) for problem encapsulation and database design; artificial neural network (and proposed rule extraction) for knowledge acquisition of the United States FTN data set; and an iterative Object Oriented (00) software design for the development of a `proof-of-concept' prototype. The research findings demonstrate that an 00 approach along with the use of 00 methodologies and technologies coupled with artificial neural networks (ANNs) offers a robust and flexible methodology for the analysis of the FTN problem domain and the design architecture of an Extranet based SPEDSS. The objectives of this research were to: 1) identify and analyse current problems and proposed solutions facing industry and governments in strategic transportation planning; 2) determine the functional requirements of an FTN SPEDSS; 3) perform a feasibility analysis for building a FTN SPEDSS `proof-of-concept' prototype and (00) database design; 4) develop a methodology for a national `internet-enabled' SPEDSS model and database; 5) construct a `proof-of-concept' prototype for a SPEDSS encapsulating identified user requirements; 6) develop a methodology to resolve the issue of the scale of data and data knowledge acquisition which would act as the `intelligence' within a SPDSS; 7) implement the data methodology using Artificial Neural Networks (ANNs) towards the validation of it; and 8) make recommendations for national freight transportation strategic planning and further research required to fulfil the needs of governments and industry. This thesis includes: an 00 database design for encapsulation of the FTN; an `internet-enabled' Dynamic Modelling Methodology (DMM) for the virtual modelling of the FTNs; a Unified Modelling Language (UML) `proof-of-concept' prototype; and conclusions and recommendations for further collaborative research are identified

Outcomes of asymptomatic and symptomatic rheumatic heart disease

Includes bibliographical referencesRheumatic Heart Disease (RHD) is a leading cause of heart disease in children and young adults in the developing world, with significant associated morbidity and mortality. Early secondary prophylaxis may retard the deleterious progression from its antecedent, acute rheumatic fever to permanent heart valve damage, and thus several echocardiographic screening programmes to detect asymptomatic RHD and institute early prophylaxis have been conducted. While effective interventions are available for ameliorating the effects of RHD, research on their use in different settings is scant. Key questions remain regarding the natural history of asymptomatic RHD and the optimal method for early detection. In addition, there is a lack of contemporary estimates of mortality and morbidity among the symptomatic population in the developing world. The primary purpose of the thesis was to determine the outcomes of asymptomatic and symptomatic RHD. More specifically, I sought to quantify the incidence, prevalence and outcomes of RHD in South Africa over the past two decades, determine the natural history of asymptomatic RHD and validate a focused protocol for screening in schoolchildren from Cape Town. In addition, I determined the baseline characteristics, prevalent sequelae and gaps in evidence-based implementation in children and adults from14 developing countries. Finally, I investigated the independent predictors for mortality and morbidity of RHD over a two-year period in patients from Cape Town, South Africa. My thesis has five key findings. Firstly, a systematic review of the literature showed that the incidence and prevalence of RHD over the past two decades in South Africa remains high, although there is evidence of falling cause-specific mortality at a population level. Secondly, asymptomatic RHD has a variable natural history that ranges from regression to a normal state, to persistence of disease, and progression to symptomatic RHD. Thirdly, a focused hand-held echocardiography protocol shows promising levels of sensitivity and specificity for detecting subclinical RHD. Fourthly, the baseline data from the global rheumatic heart disease registry demonstrates significant gaps in the implementation of medical and surgical interventions of proven effectiveness in low- and middle-income countries. Finally, the annual mortality rate for children and adults with RHD in Cape Town over a two-year period is 4.1%with cardiovascular events occurring at a rate of 0.18 events per patient per year. The findings encapsulated in this thesis have important implications for policy, practice and research related to the management of asymptomatic and symptomatic RHD in the world