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View Code? Open in Web Editor NEWEigensolver micro-benchmark
License: GNU General Public License v2.0
Eigensolver micro-benchmark
License: GNU General Public License v2.0
CONFIGURE --------- ScaLAPACK is required. ELPA is optional (it has to be compiled manually, the flag -D__ELPA has to be specified). Under "makes/" there are several Makefiles, all related to Darwin (HPCS) INPUT DEFINITION ---------------- Input parameters are passed as options to the command line, e.g. ./diag_INTEL.x <GEN-MAT> <NROOTS> <DIAGONALIZER> <GENERATOR> - "GEN-MAT" is the size of the matrix - "NROOTS" is the number of eigen-state to compute, starting from index 1. - "DIAGONALIZER" is the type of solver to use PDSYEVD (default), PDSYEVX, ELPA-1STAGE, ELPA-2STAGE - "GENERATOR" is strategy used to generate the random input matrix SYM-POSITIVE-O3, SYM-POSITIVE-O2, RANDOM-LOCAL (default) NOTE: if PDSYEVD, NROOTS is ignored (by default all the eigenvalues and eigenvectors are computed) KNOWN PROBLEMS -------------- - PDSYEVX sometimes fails ( INFO .ne. ZERO) due to not enough workspace allocated to compute the eigen-vectors. Reasons still unknown, it is related to the number of NROOTS - ELPA does not report explicitly any error code (e.g. INFO) back to the main application - RANDOM-LOCAL is really faster but it is not clear if the resultin matrix is definite positive or semi-positive. SYM-POSITIVE-O3 is the slowest but should produce an input with N eigen-state
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