Search Results - "Giannoutakis, K.M."

On the GPGPU parallelization issues of finite element approximate inverse preconditioning by Filelis-Papadopoulos, C.K., Gravvanis, G.A., Matskanidis, P.I., Giannoutakis, K.M.

“…During the past decades, explicit finite element approximate inverse preconditioning methods have been extensively used for efficiently solving sparse linear…”
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On the design and implementation of parallel finite element approximate inverses using POSIX threads on multicore systems by Gravvanis, G.A., Matskanidis, P.I., Giannoutakis, K.M., Lipitakis, E.A.

“…Purpose - The purpose of this paper is to propose novel parallel computational techniques for the parallelization of explicit finite element generalized…”
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On the performance of parallel normalized explicit preconditioned conjugate gradient type methods by Gravvanis, G.A., Giannoutakis, K.M.

“…A new class of parallel normalized preconditioned conjugate gradient type methods in conjunction with normalized approximate inverses algorithms, based on…”
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An Improved Parallel Algorithm for Computing Approximate Inverses by Reducing Synchronizations by Gravvanis, G.A., Giannoutakis, K.M.

“…A new parallel algorithm, based on the concept of anti diagonal wave pattern, for computing approximate inverses, is introduced for symmetric multiprocessor…”
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Java Multithreading based Parallel Preconditioned Generalized Conjugate Gradient type methods by Epitropou, V.N., Giannoutakis, K.M., Gravvanis, G.A.

“…A new class of Java multithreading based parallel approximate inverse preconditioning is introduced, for efficiently solving sparse arrow-type linear systems…”
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Parallel approximate finite element inverse preconditioning on distributed systems by Gravvanis, G.A., Giannoutakis, K.M.

“…New parallel Normalized Explicit Preconditioned Conjugate Gradient-type methods are introduced for solving finite element systems on distributed memory MIMD…”
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