Principal Investigators:Jim Browne - University of Texas at Austin
Vikram Adve - Rice University
Rajive Bagrodia - University of California at Los Angeles
Elias Houstis - Purdue University
Olaf Lubeck - Los Alamos National Laboratory
Pat Teller - University of Texas at El Paso
Mary Vernon - University of Wisconsin-Madison
The POEMS project will create and demonstrate a capability for prediction of the end-to-end performance of parallel/distributed implementations of large scale adaptive applications. POEMS modeling capability will span applications, operating systems including parallel I/O, and architecture. Effort will focus on the areas where there is little convention wisdom such execution behaviors of adaptive algorithms on multi-level memory hierarchies and parallel I/O operations.
POEMS will provide:
POEMS development will be driven by modeling a full-scale LANL ASCI application code executing on an ASCI architecture.
This version of POEMS focuses on high performance computational applications and architectures. But POEMS technology can be applied to other large complex dynamic computer/communication systems as as GloMo and Quorum.