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LARGE-SCALE COMPUTATIONAL SCIENTIFIC AND LARGE-SCALE COMPUTATIONAL SCIENTIFIC AND PRODUCTION WORKFLOWS

机译:大型计算科学和大型计算科学和生产工作流程

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Computational science and engineering (CSE) is becoming an important tool for scientific research and development and for engineering design. It is being used to make new scientific discoveries and predictions, to design experiments and analyze the results, to predict operational conditions, and to develop, analyze and assess engineering designs. Each application generally requires a different type of application program, but there are important common elements. As computer power continues to grow exponentially, the potential for CSE to address many of the most crucial problems of society increases as well. The peak power of the next generation of computers will be in the range of 1015 floating point operations per second achieved with hundreds of thousands of processors. It is becoming possible to run applications that include accurate treatments of all of the scientific effects that are known to be important for a given application. However, as the complexity of computers and application programs increases, the CSE community is finding it difficult to develop the highly complex applications that can exploit the advances in computing power. We are facing the possibility that we will have the computers but we may not be able to quickly and more easily develop large-scale applications that can exploit the power of those computers. To study this issue, we have conducted case studies of many large scale CSE projects and identified the key steps involved in developing and using CSE tools'. This information is helping the computational science and engineering community understand the processes involved in developing and using large-scale CSE projects, and identify the associated bottlenecks and challenges. This will facilitate efforts to develop and implement productivity improvements in computer architectures and in the software support infrastructure. This information can also used as a blueprint for new projects.
机译:计算科学与工程(CSE)正在成为科研开发和工程设计的重要工具。它正在使用新的科学发现和预测,设计实验并分析结果,以预测运营条件,以及开发,分析和评估工程设计。每个应用程序通常需要不同类型的应用程序,但是存在重要的常见元素。随着计算机力量的持续增长,CSE可能解决社会许多最重要的问题也增加。下一代计算机的峰值功率将在1015个浮点操作的范围内,每秒实现数十万处理器。运行包括对所有科学效果的准确处理的应用程序正在众所周知,这是一个已知对给定的申请很重要的科学效应。然而,随着计算机的复杂性和应用程序的增加,CSE社区正在发现难以开发能够利用计算能力的进步的高度复杂的应用程序。我们正面临我们将拥有计算机的可能性,但我们可能无法快速,更轻松地开发能够利用这些计算机的力量的大规模应用程序。为研究这个问题,我们对许多大型CSE项目进行了案例研究,并确定了开发和使用CSE工具的关键步骤。这些信息是帮助计算科学和工程界了解开发和使用大规模CSE项目的过程,并确定相关的瓶颈和挑战。这将促进开发和实施计算机架构和软件支持基础架构的生产力提高的努力。此信息还可以用作新项目的蓝图。

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