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Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the historical development, state of the art and future perspectives of the mathematical techniques employed for numerical approximation of the equations describing atmospheric and oceanic motion. Furthermore, it describes the main computer science and software engineering strategies employed to turn these mathematical methods into effective tools for understanding earth's climate and forecasting its evolution. These methods and the resulting computer algorithms lie at the core of earth system models and are essential for their effectiveness and predictive skill.
The demand for greater computer power in numerical weather prediction and meteorological research is as strong as ever. The world meteorological community has tried to meet this demand by exploiting parallelism. In this field, the European Centre for Medium-Range Weather Forecasts has established itself as the central venue for bringing together operational weather forecasters, climate researchers and parallel computer manufacturers to share their experiences through a series of workshops held every other year. This book reports on the latest workshop (2-6 December 1996) and is an excellent overview of the success which parallel systems have gained in meteorology worldwide, and how it was achieved. In addition, future trends in computer hardware and software development and its implications for meteorological computing are outlined.
This book provides a forum for researchers in scalable computing to publish extended-length articles on significant new developments. An article may present comprehensive results from a major project, review recent work in a sub-domain, or expound new ideas in a detailed, tutorial fashion, at a length which most journals and conference proceedings cannot accommodate.The five articles in this book give an excellent illustration of the different types of material requiring such extensive treatment, and should serve well to encourage future authors with similar ideas to consider publishing in the Series on Scalable Computing.
Abstract: "The goal of High Performance Fortran (HPF) is to 'address the problems of writing data parallel programs where the distribution of data affects performance', providing the user with a high-level language interface for programming scalable parallel architectures and delegating to the compiler the task of producing an explicitly parallel message-passing program. For some applications, this approach may result in dramatic performance losses. An important example is the inspector/executor paradigm, which HPF uses to support irregular data accesses in parallel loops. In many cases, the compiler does not have sufficient information to decide whether an inspector computation is redundant...
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This text on programming models for massively parallel computers covers such topics as: programming methodology; compilers; optimizations; implementations; experiences; programming languages; tools and environments; and theory.