Design and performance of a scalable parallel community climate model

Drake, John B.; Foster, Ian; Michalakes, John; Toonen, Brian; Worley, Patrick H

doi:10.1016/0167-8191(96)80001-9

Cited by 82 publications

(62 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…PCCM2 is a functionally equivalent version of NCAR's CCM2 in which the physics and dynamics calculations have been given a two-dimensional parallel decomposition (see Figure 1a for an example). The basic equations and numerical methods used in CCM2 (Eulerian-spectral elements for the dry dynamics and semi-Lagrangian transport for moisture) are described by Hack et al [6], and the alterations necessary to implement a parallel version and its performance on various parallel platforms are described by Drake et al [5]. When CCM3 [8] was released, the FOAM development team added the new physics parameterizations to the atmosphere model to create the current atmosphere component of FOAM, informally called PCCM3-UW.…”

Section: Component Modelsmentioning

confidence: 99%

Computational Design and Performance of the Fast Ocean Atmosphere Model, Version One

Jacob

Schafer

Foster

et al. 2001

Computational Science — ICCS 2001

Self Cite

View full text Add to dashboard Cite

Abstract. The Fast Ocean Atmosphere Model (FOAM) is a climate system model intended for application to climate science questions that require long simulations. FOAM is a distributed-memory parallel climate model consisting of parallel general circulation models of the atmosphere and ocean with complete physics paramaterizations as well as sea-ice, land surface, and river transport models. FOAM's coupling strategy was chosen for high throughput (simulated years per day). A new coupler was written for FOAM and some modifications were required of the component models. Performance data for FOAM on the IBM SP3 and SGI Origin2000 demonstrates that it can simulate over thirty years per day on modest numbers of processors.

show abstract

Section: Component Modelsmentioning

confidence: 99%

Computational Design and Performance of the Fast Ocean Atmosphere Model, Version One

Jacob

Schafer

Foster

et al. 2001

Computational Science — ICCS 2001

Self Cite

View full text Add to dashboard Cite

show abstract

“…PCCM2 addresses these issues by incorporating parallel spectral transform algorithms developed at Argonne and Oak Ridge National Laboratories [6,8] that support the use of several hundred or more processors, depending on model resolution. Additional modifications involved the semi-Lagrangian representation of advection and techniques for load balancing [6].…”

Section: The Foam Atmosphere Modelmentioning

confidence: 99%

“…PCCM2 is functionally equivalent to CCM2, but has been adapted to support efficient execution on massively parallel distributed-memory computers [6].…”

Section: The Foam Atmosphere Modelmentioning

confidence: 99%

FOAM: Expanding the horizons of climate modeling

Tobis¹,

Foster²,

Schafer³

1997

View full text Add to dashboard Cite

Abstract:We report here on a project that expands the applicability of dynamic climate modeling to very long time scales. The Fast Ocean_Atmosphere Model (FOAM) is a coupled ocean-atmosphere model that incorporates physics of interest in understanding decade to century time scale variability. It addresses the high computational cost of this endeavor with a combination of improved ocean model formulation, low atmosphere resolution, and efficient coupling. It also uses message-passing parallel processing techniques, allowing for the use of cost-effective distributed memory platforms. The resulting model runs over 6000 times faster than real time with good fidelity and has yielded significant results.

show abstract

“…This model uses MPI for communication and combines a large atmosphere model (the Parallel Community Climate Model [13]) with an ocean model (from U. Wisconsin). The two models execute concurrently and perform considerable internal communication.…”

Section: Case Study: a Coupled Climate Modelmentioning

confidence: 99%

Multimethod communication for high-performance metacomputing applications

Foster

Geisler

Kesselman

et al. 1996

Proceedings of the 1996 ACM/IEEE Conference on Supercomputing

Self Cite

View full text Add to dashboard Cite

Metacomputing systems use high-speed networks to connect supercomputers, mass storage systems, scientific instruments, and display devices with the objective of enabling parallel applications to access geographically distributed computing resources. However, experience shows that high performance often can be achieved only if applications carn integrate diverse communication substrates, transport mechanisms, and protocols, chosen according to where communication is directed, what is communicated, or when communication is performed. In this article, we describe a software architecture that addresses this requirement. This architecture allows multiple communication methods to be supported transparently in a single application, with either automatic or user-specified selection criteria guiding the methods used for each communication. We describe an implementation of this architecture, based on the Nexus communication library, and use this implementation to evaluate performance issues. The implementation supported a wide variety of applications in the I-WAY metacomputing experiment at Supercomputing 95; we use one of these applications to provide a quantitative demonstration of the advantages of multimethod communication in a heterogeneous networked environment. I IntroductionFuture networked computing systems will be increasingly heterogeneous in terms of both the types of networked devices and the capabilities of the networks used to connect these devices. At the same time, the applications that run on these networks are becoming more sophisticated in terms of the computations they perform and the types of data that they communicate [6].

show abstract

Design and performance of a scalable parallel community climate model

Cited by 82 publications

References 15 publications

Computational Design and Performance of the Fast Ocean Atmosphere Model, Version One

Computational Design and Performance of the Fast Ocean Atmosphere Model, Version One

FOAM: Expanding the horizons of climate modeling

Multimethod communication for high-performance metacomputing applications

Contact Info

Product

Resources

About