Identification

Title

Parallel implementation and computational analysis of the multi-resolution approximation

Abstract

We design and implement a parallel version of the multi-resolution approximation (MRA) and analyze its computational performance for large geospatial datasets. Our parallelization extends to calculating the prior distribution, posterior distribution, and spatial prediction. We provide an overview of the MRA model and our implementation. A detailed description of our codebase and schematics are included for ease of reference. In an effort to identify efficient model configurations for datasets of various sizes, we perform timing and memory profiling studies including benchmarking against our serial implementation. To test the scalability of our model, remote sensing data of Sea Surface Temperature (SST) recorded by NASA's AMSR-2 and MODIS satellite instruments on the order of 2.4 million and 2.7 million observations, respectively, are used. We show that there is a trade-off between memory consumption and runtime for both smaller and larger datasets. Often utilizing more workers will reduce runtimes in exchange for larger memory requirements associated with parallel computations. These findings highlight the necessity for carefully selecting the model and parallel set-up configurations as a function of the data size and the computational infrastructure.

Resource type

document

Resource locator

Unique resource identifier

code

http://n2t.net/ark:/85065/d7k07756

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

2018-10-26T00:00:00Z

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 Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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

2023-08-18T18:06:42.444199

Metadata language

eng; USA