Impact of computers on aerodynamics research and development

Peterson, V. L.

doi:10.1109/proc.1984.12818

Cited by 14 publications

(3 citation statements)

References 7 publications

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“…This anticipated growth in capability relied on the existing trends in memory and computer power continuing alongside developments in numerical methods. Similar papers (4,5) also concluded that computational aerodynamics was going to have a major impact on research and development and would eventually become an integral part of the design process. There is now a clear recognition that CFD has created a paradigm shift in vehicle design, as stated by Johnson et al (6) , where the last 30 years has seen Boeing increase the number of CFD runs by two orders of magnitude to around 20,000.…”

Section: Overcoming Amdahl's Lawmentioning

confidence: 91%

High performance computing and computational aerodynamics in the UK

et al. 2007

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The establishment of the UK Applied Aerodynamics Consortium in 2004 brought together many of the UK’s leading research groups to tackle challenging aerodynamic problems on the national computing facility, HPCx. This paper provides a brief history of some early pioneers of numerical simulation and highlights some key contributions to development in parallel processing that laid the foundations for today’s researchers. The transition from vector to massively parallel processing is discussed from a UK viewpoint along with technological barriers that could have a significant impact on future systems. Solutions to these barriers are already being sought and the paper discussed some of the novel technologies that may be deployed in the future. In its short history, the consortium has made substantial progress and this is briefly discussed with several highlights that illustrate the scientific output. Although a number of challenges are identified, particularly with respect to developing a comprehensive visualisation capability, the consortium is well placed to build upon its initial success.

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Section: Overcoming Amdahl's Lawmentioning

confidence: 91%

High performance computing and computational aerodynamics in the UK

et al. 2007

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“…It is currently estimated that the Reynolds averaged N/S solution for a complete aircraft should be within reach of computing technology during this decade (ref. 7). In addition to the traditional analysis algorithms, a number of methods have been developed for the inverse design problem to determine an aerodynamic design that meets prescribed behavior requirements ; for example, an airfoil and wing planform tailored to meet a predetermined pressure d i s t r i b u t i o n .…”

Section: Aerodynamicsmentioning

confidence: 99%

Multidisciplinary analysis and synthesis - Needs and opportunities

Tolson

Sobieszczanski‐Sobieski

1985

26th Structures, Structural Dynamics, and Materials Conference

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“…Even though reordering techniques can be used to exploit the sparsity of the matrix, the complexity of the problem is still very high. For a survey of the impact of supercomputing on aerodynamics research, where these types of problems arise, see Peterson [93]. The main attraction of iterative methods in an example like this one is their low storage requirement.…”

Section: Introductionmentioning

confidence: 99%

Krylov Subspace Methods on Supercomputers

Saad¹

1989

SIAM J. Sci. and Stat. Comput.

205

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This paper presents a short survey of recent research on Krylov subspace methods with emphasis on implementation on vector and parallel computers. Conjugate gradient methods have proven very useful on traditional scalar computers, and their popularity is likely to increase as three dimensional models gain importance. A conservative approach to derive effective iterative techniques for supercomputers has been to find efficient parallel/ vector implementations of the standard algorithms. The main source of difficulty in the incomplete factorization preconditionings is in the solution of the triangular systems at each step. We describe in detail a few approaches consisting of implementing efficient forward and backward triangular solutions. Then we discuss polynomial preconditioning as an alternative to standard incomplete factorization techniques. Another efficient approach is to reorder the equations so as improve the structure of the matrix to achieve better parallelism or vectorization. We give an overview of these ideas and others and attempt to comment on their effectiveness or potential for different types of architectures.

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Impact of computers on aerodynamics research and development

Cited by 14 publications

References 7 publications

High performance computing and computational aerodynamics in the UK

High performance computing and computational aerodynamics in the UK

Multidisciplinary analysis and synthesis - Needs and opportunities

Krylov Subspace Methods on Supercomputers

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