Search Results - "Düben, Peter D"

The use of imprecise processing to improve accuracy in weather & climate prediction by Düben, Peter D., McNamara, Hugh, Palmer, T.N.

“…The use of stochastic processing hardware and low precision arithmetic in atmospheric models is investigated. Stochastic processors allow hardware-induced…”
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rpe v5: an emulator for reduced floating-point precision in large numerical simulations by Dawson, Andrew, Düben, Peter D

“…This paper describes the rpe (reduced-precision emulator) library which has the capability to emulate the use of arbitrary reduced floating-point precision…”
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Fluid Simulations Accelerated With 16 Bits: Approaching 4x Speedup on A64FX by Squeezing ShallowWaters.jl Into Float16 by Klöwer, Milan, Hatfield, Sam, Croci, Matteo, Düben, Peter D., Palmer, Tim N.

“…Most Earth‐system simulations run on conventional central processing units in 64‐bit double precision floating‐point numbers Float64, although the need for…”
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A New Number Format for Ensemble Simulations by Düben, Peter D.

“…A new number format for ensemble simulations for weather and climate predictions is presented. The new format exploits similarities between ensemble members to…”
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Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction by Benacchio, Tommaso, Bonaventura, Luca, Altenbernd, Mirco, Cantwell, Chris D, Düben, Peter D, Gillard, Mike, Giraud, Luc, Göddeke, Dominik, Raffin, Erwan, Teranishi, Keita, Wedi, Nils

“…Progress in numerical weather and climate prediction accuracy greatly depends on the growth of the available computing power. As the number of cores in top…”
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A study of reduced numerical precision to make superparameterization more competitive using a hardware emulator in the OpenIFS model by Düben, Peter D., Subramanian, Aneesh, Dawson, Andrew, Palmer, T. N.

“…The use of reduced numerical precision to reduce computing costs for the cloud resolving model of superparameterized simulations of the atmosphere is…”
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An approach to secure weather and climate models against hardware faults by Düben, Peter D., Dawson, Andrew

“…Enabling Earth System models to run efficiently on future supercomputers is a serious challenge for model development. Many publications study efficient…”
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Rounding errors may be beneficial for simulations of atmospheric flow: results from the forced 1D Burgers equation by Düben, Peter D., Dolaptchiev, Stamen I.

“…Inexact hardware can reduce computational cost, due to a reduced energy demand and an increase in performance, and can therefore allow higher-resolution…”
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Reliable low precision simulations in land surface models by Dawson, Andrew, Düben, Peter D., MacLeod, David A., Palmer, Tim N.

“…Weather and climate models must continue to increase in both resolution and complexity in order that forecasts become more accurate and reliable. Moving to…”
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Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures by Russell, Francis P., Düben, Peter D., Niu, Xinyu, Luk, Wayne, Palmer, T.N.

“…Reconfigurable architectures are becoming mainstream: Amazon, Microsoft and IBM are supporting such architectures in their data centres. The computationally…”
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Compressing atmospheric data into its real information content by Klöwer, Milan, Razinger, Miha, Dominguez, Juan J, Düben, Peter D, Palmer, Tim N

“…Hundreds of petabytes are produced annually at weather and climate forecast centers worldwide. Compression is essential to reduce storage and to facilitate…”
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On the use of inexact, pruned hardware in atmospheric modelling by Düben, Peter D., Joven, Jaume, Lingamneni, Avinash, McNamara, Hugh, De Micheli, Giovanni, Palem, Krishna V., Palmer, T. N.

“…Inexact hardware design, which advocates trading the accuracy of computations in exchange for significant savings in area, power and/or performance of…”
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A discontinuous/continuous low order finite element shallow water model on the sphere by Düben, Peter D., Korn, Peter, Aizinger, Vadym

“…We study the applicability of a new finite element in atmosphere and ocean modeling. The finite element under investigation combines a second order continuous…”
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On the use of programmable hardware and reduced numerical precision in earth‐system modeling by Düben, Peter D., Russell, Francis P., Niu, Xinyu, Luk, Wayne, Palmer, T. N.

“…Programmable hardware, in particular Field Programmable Gate Arrays (FPGAs), promises a significant increase in computational performance for simulations in…”
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Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour by Russell, Francis P., Duben, Peter D., Xinyu Niu, Luk, Wayne, Palmer, T. N.

“…The computationally intensive nature of atmospheric modelling is an ideal target for hardware acceleration. Performance of hardware designs can be improved…”
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On the use of inexact, pruned hardware in atmospheric modelling by Düben, Peter D., Joven, Jaume, Lingamneni, Avinash, McNamara, Hugh, De Micheli, Giovanni, Palem, Krishna V., Palmer, T. N.

“…Inexact hardware design, which advocates trading the accuracy of computations in exchange for significant savings in area, power and/or performance of…”
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Mixed-precision for Linear Solvers in Global Geophysical Flows by Ackmann, Jan, Düben, Peter D, Palmer, Tim N, Smolarkiewicz, Piotr K

“…Semi-implicit time-stepping schemes for atmosphere and ocean models require elliptic solvers that work efficiently on modern supercomputers. This paper reports…”
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Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows by Ackmann, Jan, Düben, Peter D, Palmer, Tim N, Smolarkiewicz, Piotr K

“…It is tested whether machine learning methods can be used for preconditioning to increase the performance of the linear solver -- the backbone of the…”
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A study on boundary separation in an idealized ocean model by Düben, Peter D, Korn, Peter

“…In numerical ocean models coast lines change the direction from one grid cell to its neighbor and the value for viscosity is set to be as small as possible…”
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The representation of boundary currents in a finite element shallow water model by Düben, Peter D, Korn, Peter

“…We evaluate the influence of local resolution, eddy viscosity, coastline structure, and boundary conditions on the numerical representation of boundary…”
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