Solution of partial differential equations on vector and parallel computers

The present status of numerical methods for partial differential equations on vector and parallel computers was reviewed. The relevant aspects of these computers are discussed and a brief review of their development is included, with particular attention paid to those characteristics that influence algorithm selection. Both direct and iterative methods are given for elliptic equations as well as explicit and implicit methods for initial boundary value problems. The intent is to point out attractive methods as well as areas where this class of computer architecture cannot be fully utilized because of either hardware restrictions or the lack of adequate algorithms. Application areas utilizing these computers are briefly discussed

PISCES: An environment for parallel scientific computation

The parallel implementation of scientific computing environment (PISCES) is a project to provide high-level programming environments for parallel MIMD computers. Pisces 1, the first of these environments, is a FORTRAN 77 based environment which runs under the UNIX operating system. The Pisces 1 user programs in Pisces FORTRAN, an extension of FORTRAN 77 for parallel processing. The major emphasis in the Pisces 1 design is in providing a carefully specified virtual machine that defines the run-time environment within which Pisces FORTRAN programs are executed. Each implementation then provides the same virtual machine, regardless of differences in the underlying architecture. The design is intended to be portable to a variety of architectures. Currently Pisces 1 is implemented on a network of Apollo workstations and on a DEC VAX uniprocessor via simulation of the task level parallelism. An implementation for the Flexible Computing Corp. FLEX/32 is under construction. An introduction to the Pisces 1 virtual computer and the FORTRAN 77 extensions is presented. An example of an algorithm for the iterative solution of a system of equations is given. The most notable features of the design are the provision for several granularities of parallelism in programs and the provision of a window mechanism for distributed access to large arrays of data

Earth and environmental science in the 1980's: Part 1: Environmental data systems, supercomputer facilities and networks

Overview descriptions of on-line environmental data systems, supercomputer facilities, and networks are presented. Each description addresses the concepts of content, capability, and user access relevant to the point of view of potential utilization by the Earth and environmental science community. The information on similar systems or facilities is presented in parallel fashion to encourage and facilitate intercomparison. In addition, summary sheets are given for each description, and a summary table precedes each section

Aspects of parallel processing and control engineering

The concept of parallel processing is not a new one, but the application of it to control engineering tasks is a relatively recent development, made possible by contemporary hardware and software innovation. It has long been accepted that, if properly orchestrated several processors/CPUs when combined can form a powerful processing entity. What prevented this from being implemented in commercial systems was the adequacy of the microprocessor for most tasks and hence the expense of a multi-processor system was not justified. With the advent of high demand systems, such as highly fault tolerant flight controllers and fast robotic controllers, parallel processing became a viable option. Nonetheless, the software interfacing of control laws onto parallel systems has remained somewhat of an impasse. There are no software compilers at present which allow a programmer to specify a control law in pure mathematical terminology and then decompose it into a flow diagram of concurrent processes which may then be implemented on, say, a target Transputer system, liiere are several parallel programming languages with which a programmer can generate parallel processes but, generally, in order to realise a control algorithm in parallel the programmer must have intimate knowledge of the algorithm. Therefore, efficiency is based on the ability of the programmer to recognise inherent parellelism. Some attempts are being made to create intelligent partition and scheduling compilers but this usually means significantly extra overheads on the multiprocessor system. In the absence of an automated technique control algorithms must be decomposed by inspection. The research presented in this thesis is founded upon the application of both parallel and pipelining techniques to particular control strategies. Parallelism is tackled objectively and by creating a tailored terminology it is defined mathematically, and consequently related concepts, such as bounded parallelism and algorithm speedup, are also quantified in a numerical sense. A pipelined explicit Self Tuning Regulator (STR) controller is developed and tested on systems of different order. Under the governance of the parallelism terminology the effectiveness of the parallel STR is evaluated and numerically quantified in terms of relevant performance indices. A parallel simulator is presented for the Puma 560 robotic manipulator. By exploiting parallelism and pipelinability in the robot model a significant increase in execution speed is achieved over the sequential model. The use of Transputers is examined and graphical results obtained for several performance indices, including speedup, processor efficiency and bounded parallelism. By the same analytical technique a parallel computed torque feedforward controller incorporating proportional derivative feedback control for the Puma 560 manipulator is developed and appraised. The performance of a Transputer system in hosting the controller is graphically analysed and as in the case of the parallel simulator the more important performance indices are examined under both optimal conditions and conditions of varying hardware constraints

A bibliography on parallel and vector numerical algorithms

This is a bibliography of numerical methods. It also includes a number of other references on machine architecture, programming language, and other topics of interest to scientific computing. Certain conference proceedings and anthologies which have been published in book form are listed also

Dynamic Capabilities and Strategic Management: Explicating the Multi-Level Nature of Dynamic Capabilities - Insights from the Information Technology Security Consulting Industry

The dynamic capabilities perspective has become one of the most vibrant approaches to strategic management. Despite its growing popularity, it has faced criticism because of ambiguity and contradictions in dynamic capabilities literature. There has been increasing calls to address the fragmentation in the literature and provide empirically collaborated insights if it is to fulfil its potential as a distinct approach to strategic management. The microfoundations research agenda remains an emerging theme in the dynamic capabilities literature and since the overarching emphasis of a microfoundational approach is in the explanatory primacy of the micro-level especially in its relation to macro-level entities, it covers a wide array of subjects at several levels. One of the main criticisms of the microfoundations approach is a lack of multi-level analysis and there has been calls for multi-level theory development to connect levels within particular contexts since dynamic capabilities are path dependent and context-specific. This thesis explores the multi-level nature of dynamic capabilities in the Information Technology Security context and empirically investigates the impact of microfoundations of dynamic capabilities on firm capability renewal and reconfiguration. It overcomes the challenge associated with fragmentation in dynamic capabilities by presenting a conceptual model for the multi-level nature of dynamic capabilities. By explicating where dynamic capabilities reside, we can more purposely impact on them to advance our scholarly understanding and proffer practical managerial interventions to directly enhance specific abilities of sensing, seizing and reconfiguring to achieve superior outcomes. The research employed the Gioia qualitative case study research methodology and research methods used were 35 semi-structured interviews and observations. The research findings suggest that firms renew and reconfigure their capabilities to align with the changing industry and industry standards, and client needs. Firms also renew and reconfigure capabilities and capability framework due to internal strategic organisational learning and to align with firm’s specific business strategies. Capability renewal and reconfiguration is vital to achieve technical and evolutionary fitness. In addition, findings inform that dynamic capabilities in the form of ability to sense, seize and reconfigure exhibit at macro, meso and micro levels. Actor’s external engagement with significant institutions enables superior sensing ability. Accumulated experience is exploited to gain credibility with clients to win business, and demystifying firm processes and clarity of language in firm artefacts achieve superior knowledge articulation and codification processes by actors. Structuring of simple routines and capabilities enable ease of internal knowledge transfer but susceptibility to intellectual property theft by outsiders whereas complex routines and capabilities create challenges for knowledge transfer but are harder for competitors to discern and copy. Drawing on the research findings, the thesis presents a conceptual model for the multi-level microfoundations of dynamic capabilities in knowledge-intensive domains with relevance for theory and practice

A computing structure for data acquisition in high energy physics

A review of the development of parallel computing ispresented, followed by a summary of currently recognised typesof parallel computer and a brief summary of some applicationsof parallel computing in the field of high energy physics.The computing requirement at the data acquisition stageof a particular set of high energy physics experiments isdetailed, with reference to the computing system currently inuse. The requirement for a parallel processor to process thedata from these experiments is established and a possiblecomputing structure put forward.The topology proposed consists of a set of rings ofprocessors stacked to give a cylindrical arrangement, ananalytical approach is used to verify the suitability andextensibility of the suggested scheme. Using simulationresults the behaviour of rings and cylinders of processorsusing different algorithms for the movement of data within thesystem and different patterns of data input is presented anddiscussed.Practical hardware and software details for processingequipment capable of supporting such a structure as presentedhere is given, various algorithms for use with this equipment,e. g. program distribution, are developed and the software forthe implementation of the cylindrical structure is presented.Appendices of constructional information and all programlistings are included