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of Dissertation In this thesis, we discuss the development and implementation of computational electromagnetics simulations on massively parallel processing systems. The possibility of predicting radar cross section (RCS) for a full scale aircraft is discussed and demonstrated by combining the most advanced computational electromagnetics techniques and massively parallel processing technologies. Wilkes' and Cha's exact surface model and their basis function are used to develop numerical solutions for electromagnetic scattering problems involving arbitrarily shaped conducting bodies with and without lossy dielectric coatings. The ParaMoM code---one of the most sophisticated and complicated software packages for electromagnetic scattering developed by Cha's group at Syracuse Research Corporation---is extended to treat arbitrarily shaped conducting bodies with lossy dielectric coatings. The parallel algorithms development of ParaMoM is discussed. The parallel ParaMoM, called ParaMoM-MPP, ...

This report describes the simulation tool CLUE which enables the highly accurate performance assessment and prediction of clusters of symmetric multiprocessors (SMPs). Using CLUE, reliable information can be obtained to reach the optimum decision on hardware configurations (processing elements and communication networks) before actually purchasing this hardware. Thus, hardware can be adapted to individual software features, reversing the currently applied adaptation of high-performance software to hardware features (as used, for instance, in FFTW [8, 9], Phipac [2], or the Atlas tool [18]).

The paper is motivated by efficiency considerations about porting mathematical software from Massively Parallel Processors (MPPs) to Networks of Workstations (NOWs). Heterogeneity of the network is the major obstacle to efficient porting: it can be overcome with a specialized system, Programming envIronment for Network of COmputers (PINCO), for monitoring available computational power at different nodes, both statically and dynamically. The structure and functionalities of PINCO are outlined, and a significant porting example, matrix multiplication, is

library: of a parallel dense linear algebra software