Identification

Title

GPU computing for atmospheric modeling: Experience with a small kernel and implications for a full model

Abstract

Modern graphics processing units (GPUs) offer the potential for extremely high performance floating point computation. Many important kernels, as well as certain types of applications, have been greatly accelerated by being ported to and run on GPUs. Atmospheric modeling is extremely computationally expensive and model designers are eager to speedup atmospheric models with the power promised by GPUs. However, the path to accelerating a large model using GPUs is not straightforward. We explore the potential of GPUs for atmospheric modeling, first by porting an expensive routine selected from the Community Atmosphere Model (CAM) to and NVIDIA 9800 GX2 using CUDA, and then by applying the experience from this exercise to thinking about what it would take to accelerate the rest of the model.

Resource type

document

Resource locator

Unique resource identifier

code

http://n2t.net/ark:/85065/d7tb186d

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Text

originating controlled vocabulary

title

Resource Type

reference date

date type

publication

effective date

2016-01-01T00:00:00Z

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2010-07-01T00:00:00Z

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Limitations on public access

None

Responsible organisations

Responsible party

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata date

2023-08-18T18:21:29.765302

Metadata language

eng; USA