PCCM2: A GCM adapted for scalable parallel computers
Conference
·
OSTI ID:10114472
- Oak Ridge National Lab., TN (United States)
- Argonne National Lab., IL (United States)
- National Center for Atmospheric Research, Boulder, CO (United States)
The Computer Hardware, Advanced Mathematics and Model Physics (CHAMMP) program seeks to provide climate researchers with an advanced modeling capability for the study of global change issues. One of the more ambitious projects being undertaken in the CHAMMP program is the development of PCCM2, an adaptation of the Community Climate Model (CCM2) for scalable parallel computers. PCCM2 uses a message-passing, domain-decomposition approach, in which each processor is allocated responsibility for computation on one part of the computational grid, and messages are generated to communicate data between processors. Much of the research effort associated with development of a parallel code of this sort is concerned with identifying efficient decomposition and communication strategies. In PCCM2, this task is complicated by the need to support both semi-Lagrangian transport and spectral transport. Load balancing and parallel I/O techniques are also required. In this paper, the authors review the various parallel algorithms used in PCCM2 and the work done to arrive at a validated model.
- Research Organization:
- Argonne National Lab., IL (United States). Mathematics and Computer Science Div.
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 10114472
- Report Number(s):
- ANL/MCS/CP--81098; CONF-940131--3; ON: DE94005113
- Country of Publication:
- United States
- Language:
- English
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