Abstract
With the increasing availability of high-performance massively parallel computer systems, the prevalence of sophisticated scientific simulation has grown rapidly. The complexity of the scientific models being simulated has also evolved, leading to a variety of coupled multi-physics simulation codes. Such cooperating parallel programs require fundamentally new interaction capabilities, to efficiently exchange parallel data structures and collectively invoke methods across programs. So-called "M×N" research, as part of the Common Component Architecture (CCA) effort, addresses these special and challenging needs, to provide generalized interfaces and tools that support flexible parallel data redistribution and parallel remote method invocation. Using this technology, distinct simulation codes with disparate distributed data decompositions can work together to achieve greater scientific discoveries.
Original language | English |
---|---|
Title of host publication | Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 |
Pages | 40b |
DOIs | |
State | Published - 2005 |
Event | 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 - Denver, CO, United States Duration: Apr 4 2005 → Apr 8 2005 |
Publication series
Name | Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 |
---|---|
Volume | 2005 |
Conference
Conference | 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 |
---|---|
Country/Territory | United States |
City | Denver, CO |
Period | 04/4/05 → 04/8/05 |
Funding
This work is supported by National Science Foundation Grants CDA-0116050 and EIA-0202048, and by the U.S. Department of Energy’s Scientific Discovery through the Advanced Computing (SciDAC) initiative, through the Center for Component Technology for Terascale Simulation Software, of which Argonne, Lawrence Livermore, Los Alamos, Oak Ridge, Pacific Northwest, and Sandia National Laboratories, Indiana University, and the University of Utah are members. Research at Oak Ridge National Laboratory is supported by the Mathematics, Information and Computational Sciences Office, Office of Advanced Scientific Computing Research, U.S. Department of Energy, under contract No. DE-AC05-00OR22725 with UT-Battelle, LLC.