The Parallel Ice Sheet Model pism0.5 is an open source, parallel, high-resolution ice sheet model. Features:
|Increasing the Scalability of PISM for High Resolution Ice Sheet Models|
|investigators:||P. Dickens and T. Morey|
|journal:||Proceedings of the 14th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing, May 2013, Boston|
In this paper, authors discuss their work in evaluating and increasing the I/O performance of PISM on a state-of-the-art supercomputer by using a 1 km Greenland ice sheet setup. In particular, they found that the computation performed by PISM is highly scalable, but that the I/O demands of the higher-resolution model are a significant drag on overall performance. The paper describes a series of experiments to find the cause of the relatively-poor I/O performance and how such performance could be improved. By making simple changes to the PISM source code and one of the I/O libraries used by PISM authors were able to provide an 8-fold increase in I/O performance.
We have been notified that two PISM-supporting NASA research proposals have been selected for funding, one in the Cryospheric Sciences program and one in the Modeling, Analysis, and Prediction (MAP) program. Our proposed research threads focus on the dynamics of the Greenland ice sheet and on the exploitation of NASA remote observations as constraints. The current MAP grant expires in the next few months, so this news is timely. The new grants support PISM development and application for four years, through mid-2017. They include support for UAF researchers Ed Bueler, Andy Aschwanden, and Mark Fahnestock, and full-time support for scientific programmer Constantine Khroulev.
In 2012 ten papers were published by scientists using PISM. The articles appeared in these journals:
For details see the PISM Publications tab.
PISM is jointly developed at the University of Alaska, Fairbanks (UAF) and the Potsdam Institute for Climate Impact Research (PIK). UAF developers, who are in the Glaciers Group at the GI, are supported by NASA's Modeling, Analysis, and Prediction and Cryospheric Sciences Programs (grants NAG5-11371, NNX09AJ38C, NNX13AM16G, NNX13AK27G) and by the Arctic Region Supercomputing Center.