2017
DOI: 10.5194/gmd-2017-186
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Crossing the Chasm: How to develop weather and climate models for next generation computers?

Abstract: Abstract.Weather and climate models are complex pieces of software which include many individual components, each of which is evolving under the pressure to exploit advances in computing to enhance some combination of a range of possible improvements (higher spatio/temporal resolution, increased fidelity in terms of resolved processes, more quantification of uncertainty etc). However, after many years of a relatively stable computing environment with little choice in processing architecture or 5 programming pa… Show more

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Cited by 7 publications
(7 citation statements)
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References 31 publications
(33 reference statements)
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“…The current trend of supercomputer architectures is towards a greatly increasing number of processors, together with an increasingly complex hierarchy of heterogeneous processors and memories. In terms of the efficiency of a dynamical core, this trend shifts interest from optimizing the number of calculations towards optimizing the management of memory and communications between processors (Lawrence et al, 2017). This has led to a renewed interest in the choice of mesh used and in particular to a desire, for those still using it, to move away from a latitude-longitude mesh, (Staniforth and Thuburn, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…The current trend of supercomputer architectures is towards a greatly increasing number of processors, together with an increasingly complex hierarchy of heterogeneous processors and memories. In terms of the efficiency of a dynamical core, this trend shifts interest from optimizing the number of calculations towards optimizing the management of memory and communications between processors (Lawrence et al, 2017). This has led to a renewed interest in the choice of mesh used and in particular to a desire, for those still using it, to move away from a latitude-longitude mesh, (Staniforth and Thuburn, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…High-performance computing architectures are currently undergoing a paradigm shift, prompting a reconsideration of how we design scientific computing applications [9]. Future supercomputers will be heterogeneous, employing a variety of computing hardware, and will place more emphasis on data transfer between individual computing units, including memory-to-processor and nodeto-node communication, compared with the traditional focus on raw floating-point computation.…”
Section: Introductionmentioning
confidence: 99%
“…The continued evolution of the underlying hardware complicates the development of efficient software to support the advancement of scientific objectives. A good description of the myriad of software challenges that face earth system modeling is provided in the study by Lawrence et al (2018). Our approach to addressing these challenges is based on the premise that we need to coevolve our software to address the evolving hardware.…”
Section: Introductionmentioning
confidence: 99%