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1 November 1993 Efficient eigenvalue computation on the Maspar
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Many applications of the eigenvalue decomposition of dense matrices are well known. This work was prompted by research in the numerical simulation of disordered electronic systems, in which one of the most common approaches is to diagonalize random Hamiltonian matrices in order to study the eigenvalues and eigenfunctions of a single electron in the presence of a random potential. In this paper, we describe an effort to implement a matrix diagonalization routine for real symmetric dense matrices on massively parallel SIMD computers, the Maspar MP-1 and MP-2 systems. Results of numerical tests and timings are also presented.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Huo and Robert Schreiber "Efficient eigenvalue computation on the Maspar", Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993);


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