Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL)

Norman, Matthew R.; Lyngaas, Isaac; Bagusetty, Abhishek; Berrill, Mark

doi:10.1007/s10766-022-00739-0

Cited by 8 publications

(7 citation statements)

References 10 publications

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“…is run using a single ice category. Gas optical properties and radiative fluxes are computed using the RTE+RRTMGP radiative transfer package (Pincus et al, 2019) which has been rewritten in C++ using the YAKL performance portability library (Norman et al, 2022) for improved performance.…”

Section: Model Processesmentioning

confidence: 99%

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To exascale and beyond – The Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM), a performance portable global atmosphere model for cloud-resolving scales

Donahue,

Caldwell,

Bertagna

et al. 2024

Preprint

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The new generation of heterogeneous CPU/GPU computer systems offer much greater computational performance but are not yet widely used for climate modeling. One reason for this is that traditional climate models were written before GPUs were available and would require an extensive overhaul to run on these new machines. In addition, even conventional “high–resolution’ simulations don’t provide enough parallel work to keep GPUs busy, so the benefits of such overhaul would be limited for the types of simulations climate scientists are accustomed to. The vision of the Simple Cloud-Resolving Energy Exascale Earth System (E3SM) Atmosphere Model (SCREAM) project is to create a global atmospheric model with the architecture to efficiently use GPUs and horizontal resolution sufficient to fully take advantage of GPU parallelism. After 5 yrs of model development, SCREAM is finally ready for use. In this paper, we describe the design of this new code, its performance on both CPU and heterogeneous machines, and its ability to simulate real-world climate via a set of four 40 day simulations covering all 4 seasons of the year.

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Section: Model Processesmentioning

confidence: 99%

“…The application then uses the library interfaces as a programming model, obtaining a single code base that run on all the architectures supported by the TPL. Examples of this approach include Kokkos (Trott et al, 2022), YAKL (Norman et al, 2022), and Raja (Beckingsale et al, 2019).…”

Section: Computational Strategymentioning

confidence: 99%

To exascale and beyond – The Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM), a performance portable global atmosphere model for cloud-resolving scales

Donahue,

Caldwell,

Bertagna

et al. 2024

Preprint

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“…The Kessler code provided (https://github.com/ClimateGlobalChange/DCMIP2016/blob/master/interface/kessler.f90) by the Dynamical Core Model Inter‐comparison Project (DCMIP) was refactored into portable C++ for use in this study. The entire model is GPU‐capable, written using a portable C++ call Yet Another Kernel Launcher (M. Norman et al., 2022).…”

Section: Numerical Experimentsmentioning

confidence: 99%

Investigating Inherent Numerical Stabilization for the Moist, Compressible, Non‐Hydrostatic Euler Equations on Collocated Grids

Norman,

Eldred,

Gopalakrishnan Meena

2023

J Adv Model Earth Syst

Self Cite

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This study investigates inherent numerical dissipation due to upwind fluxes and reconstruction strategies for collocated Finite‐Volume integration of the Euler equations. Idealized supercell simulations are used without any explicit dissipation. Flux terms are split into: mass flux, pressure, and advected quantities. They are computed with the following upwind strategies: central, advectively upwind, and acoustically upwind. This is performed for third and ninth‐order‐accurate reconstructions with and without Weighted Essentially Non‐Oscillatory limiting. Acoustic‐only upwinding for pressure and mass flux terms and advective‐only upwinding for advected quantities is the most flexible simplification found. It reduces data movement and computations. Assuming a constant speed of sound in acoustic upwinding gives similar results to using the true speed of sound. Dissipation from upwind adapts automatically to grid spacing, time step, reconstruction accuracy, and flow smoothness. While stability is maintained even at 21st‐order spatial accuracy, there is a limit to the spatial order of accuracy for which upwinding alone can create a realizable solution in the conditions of this study. Convex combinations of upwind and central solutions for flux terms also reduced dissipation, but as the central proportion grows, solutions become physically unrealizable. The range of length scales of the kinetic energy spectra can be extended along k−5/3 to smaller spatial scales by reducing dissipation either with higher‐order reconstructions or using convex combinations of upwind and central fluxes. However, not all extensions of the length scale range along k−5/3 exhibit physically realizable solutions, even though the spectra appear to be physical.

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“…3D-Cloud The 3-D cloud model miniWeatherML application [21,20] is a software tool to examine atmospheric flows that includes moisture in the forms of vapor, cloud, and precipitation. The application solves the inviscid, stratified, compressible Euler equations that govern atmospheric dynamics on a 3-D Cartesian domain with regular grid spacing.…”

Section: Application Workloadsmentioning

confidence: 99%

Evaluating the Cloud for Capability Class Leadership Workloads

Lange,

Papatheodore,

Papatheodore

et al. 2023

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Cloud platforms offer a variety of benefits that are very appealing for a large scale HPC facility with a diverse and dynamic user base and workload set. At the same time, there is cause for concern about transitioning to the cloud. Incorporating cloud resources into existing HPC facilities or even fully transitioning to a cloud deployment poses significant challenges at the technical, organizational, and economic levels. Regardless, based on current trends it is highly likely that cloud platforms will become an integral component of many HPC centers in some form. To gain a better understanding of both the limitations and capabilities of current cloud infrastructures we evaluated the public offerings of the three leading cloud platforms (Amazon Web Services, Microsoft Azure, and Google Cloud Platform) using a selection of representative application workloads from our facility. Our findings show that while current HPC offerings are still nascent, significant progress is being made to address the present shortcomings. At the same time, significant challenges and questions remain about whether HPC cloud offerings will be able to deliver the full range of expected benefits.

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Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL)

Cited by 8 publications

References 10 publications

To exascale and beyond – The Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM), a performance portable global atmosphere model for cloud-resolving scales

To exascale and beyond – The Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM), a performance portable global atmosphere model for cloud-resolving scales

Investigating Inherent Numerical Stabilization for the Moist, Compressible, Non‐Hydrostatic Euler Equations on Collocated Grids

Evaluating the Cloud for Capability Class Leadership Workloads

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